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Preprint ARTICLE | doi:10.20944/preprints202308.2098.v1

Enhancing Automated Scoring of Math Self-Explanation Quality using LLM-Generated Datasets: A Semi-Supervised Approach

Ryosuke NAKAMOTO, Brendan Flanagan, Taisei Yamauchi, Dai Yilling, Kyosuke Takami, Horoaki Ogata

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Self-explanation; Automated scoring; Semi-supervised learning; Language Learning Model (LLM); Data augmentation

Online: 31 August 2023 (10:19:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0187.v1

Image Features Based on Characteristic Curves and Local Binary Patterns for Automated HER2 Scoring

Ramakrishnan Mukundan

Subject: Computer Science And Mathematics, Analysis Keywords: medical image classification; local binary patterns; characteristic curves; whole slide image pro-cessing; automated HER2 scoring

Online: 31 October 2017 (03:10:22 CET)

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Preprint REVIEW | doi:10.20944/preprints202409.0426.v1

How Automated Machine Learning Can Boost Business

Albérico Travassos Rosário, Anna Carolina Boechat

Subject: Business, Economics And Management, Business And Management Keywords: automated machine learning; business

Online: 5 September 2024 (08:08:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0379.v1

Design of a Tension Infiltrometer with Automated Data Collection through a SCADA System

David Alberto Morales Ortega, Victor Hugo Cambrón-Sandoval, Israel Ruíz-González, Hugo Luna-Soria, Juan Alfredo Hernández-Guerrero, Genaro García-Guzmán

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: Infiltration; SCADA system; Automated instrumentation

Online: 6 September 2023 (09:49:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201703.0167.v1

Melanin Bleaching with Warm Hydrogen Peroxide and Integrated Immunohistochemical Analysis: An Automated Platform

Chia-Hsing Liu, Chih-Hung Lin, Min-Jan Tsai, Yu-Hsuan Chen, Sheau-Fang Yang, Kun-Bow Tsai

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: melanin bleaching; immunohistochemistry; automated platform

Online: 21 March 2017 (04:23:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.0068.v1

Towards Automated Measurement of As-Built Components Using Computer Vision

Husein Perez, Joseph H.M. Tah

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine Learning; Computer Vision; Automated measurement

Online: 1 August 2023 (10:20:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0005.v1

Experimental Study on A Reinforced Concrete Element to Extract the Durability Index with the Automated Visualization

Sadegh Lajevardi, Fereidoon Moghadas Nejad, Mehdi Ravanshadnia

Subject: Engineering, Civil Engineering Keywords: Durability; Reinforced concrete; Automated visualization; Risk

Online: 1 August 2022 (05:09:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1922.v1

Methods and Software Tools for the Safety Movement of Agricultural Highly Automated Vehicle Based on Deep Learning Methods

Kirill Svyatov, Roman Zhitkov, Vladislav Mikhailov, Imil Khayrullin

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: highly automated vehicles; robotics; modeling; obstacle avoidance

Online: 30 November 2023 (10:35:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.2144.v1

High Resolution Image Products Acquired from Mid-sized Uncrewed Aerial Systems: Addressing Challenges of Flying Higher, Faster, and Longer

Lexie Goldberger, Ilan Gonzalez-Hirshfeld, Kristian Nelson, Hardeep Metha, Fan Mei, Jason Tomlinson, Beat Schmid, Jerry D. Tagestad

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: UAS operations; land-atmosphere interactions; automated processing

Online: 29 June 2023 (12:40:35 CEST)

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Working Paper ARTICLE

Design and Implementation of a Co-Simulation Framework for Testing of Automated Driving Systems

Demin Nalic, Aleksa Pandurevic, Arno Eichberger, Branko Rogic

Subject: Engineering, Automotive Engineering Keywords: ADAS simulation; scenario generation; automated driving; Testing; innovation in mobility; self-driving cars; transportation

Online: 7 December 2020 (11:24:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.2090.v1

Effect of road marking materials on LiDAR response

Yongqi Zhao, Hexuan Li, Philipp Rosenberger, Dario Babić, Darko Babić, Friedrich Wiesinger, Bernhard Helmreich, Tomasz Burghardt, Arno Eichberger

Subject: Engineering, Automotive Engineering Keywords: Laser intensity; Glass beads; Automated driving system; Retroreflection

Online: 30 August 2023 (14:53:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1710.v1

Analysis of 14 β-Agonists in Pork Using Automated Wooden Tip Based SPME Device and UPLC-MS/MS

Kai Li, Xiaoming Gong, Liming Jin, Mengxiao Liu, Mengmeng Hua

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: β-agonists; LC-MS/MS; automated SPME; pork

Online: 24 August 2023 (04:45:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1248.v1

A Survey on Factors Preventing the Adoption of Automated Software Testing: A Principle Component Analysis Approach

George Murazvu, Simon Parkinson, Saad Khan, Na Liu, Gary Allen

Subject: Computer Science And Mathematics, Software Keywords: Software testing; Automated testing; Attitudes; Principle Component Analysis

Online: 17 August 2023 (13:03:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0408.v1

Fully Automated Public Transportation Mobility : A Dream or A Nightmare?

Dimitri Konstantas, Guy Fournier

Subject: Engineering, Automotive Engineering Keywords: Public transportation; Automated vehicles; economic viability; business model

Online: 27 September 2022 (03:37:23 CEST)

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Preprint REVIEW | doi:10.20944/preprints202008.0494.v1

The Interaction between Internet, Sustainable Development, and Emergence of Society 5.0

Vasja Roblek, Maja Meško, Mirjana Pejić Bach, Oshane Thorpe, Polona Šprajc

Subject: Business, Economics And Management, Business And Management Keywords: internet; Society 5.0; sustainable development; automated content analysis

Online: 22 August 2020 (09:57:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201907.0115.v1

A System for Weeds and Crops Identification – Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications.

Łukasz Chechliński, Barbara Siemiątkowska, Michał Majewski

Subject: Computer Science And Mathematics, Computer Science Keywords: Automated Weeding; Mobile Convolutional Neural Netowrks, Semantic Segmentation

Online: 8 July 2019 (12:29:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1279.v2

Regressive Machine Learning for Real-Time Monitoring of Bed-Based Patients

Paul Joseph, Husnain Ali, Daniel Matthew, Anvin Thomas, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: Machine Learning; Model; Regressor; Ensemble; Patient Safety; Automated Detection

Online: 17 October 2024 (08:33:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0701.v1

Discovery of Cloud Applications from Logs

Ashot Harutyunyan, Arnak Poghosyan, Tigran Bunarjyan, Marine Harutyunyan, Andranik Haroyan, Lilit Harutyunyan, Nelson Baloian

Subject: Engineering, Other Keywords: automated cloud management; application discovert; log analytics; recommender systems

Online: 10 April 2024 (10:02:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.0947.v1

Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior

Daniel Paula, Maximilian Bauder, Claus Pfeilschifter, Franziska Petermeier, Tibor Kubjatko, Klaus Böhm, Andreas Riener, Hans-Georg Schweiger

Subject: Engineering, Automotive Engineering Keywords: Accident analysis; partially automated driving functions; driver reaction behavior

Online: 14 November 2023 (15:19:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0567.v1

Lateral Control Calibration and Testing in a Co-simulation Framework for Automated Vehicles

Duc-Tien Bui, Hexuan Li, Francesco De Cristofaro, Arno Eichberger

Subject: Engineering, Automotive Engineering Keywords: Linear Quadratic Regulator; Calibration Optimization; Virtual Simulation; Automated Driving

Online: 8 November 2023 (14:26:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.1065.v1

A ResNet-based Audio-visual Fusion Model for Piano Skill Evaluation

Xujian Zhao, Yixin Wang, Xuebo Cai

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Multimodal Machine Learning; Automated Piano Skill Evaluation; Residual Network

Online: 16 May 2023 (02:06:02 CEST)

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With the rise of piano teaching in recent years, many people have joined the team of piano learners. However, the expensive cost of manual instruction and the unique one-on-one teaching model have made piano learning an extravagant event. Most existing approaches based on the audio modality aim to evaluate piano players' skills. Unfortunately, these methods ignored the information contained in the video, which led to a one-sided and simplistic evaluation of the piano player's skills. More recently, multimodal-based methods are proposed to assess the skill level of piano players using both video and audio information. However, existing multimodal approaches use shallow networks to extract video and audio features, which are deficient in extracting complex spatio-temporal and time-frequency features from piano performance. Furthermore, the fingering and the pitch-rhythm information of the piano performance is contained in the spatio-temporal and time-frequency features, respectively. In the paper, we propose a ResNet-based audio-visual fusion model that combines video and audio features to assess the skill level of piano players. Firstly, ResNet18-3D is used as the backbone network for our visual branches, which can extract feature information from the video data. Then, we consider ResNet18-2D as the backbone network of the aural branch and extract the feature information from the audio data. The extracted video features are fused with the audio features to generate multimodal features for the final piano skill evaluation. The experimental results on the PISA dataset show that our proposed audio-visual fusion model, with a validation accuracy of 70.80%, outperforms the state-of-the-art methods in both performance and efficiency. Then, we also explore the impact of different layers of ResNet on model performance, and the experimental results show that the audio-visual fusion model dealing with the piano skill assessment problem can make full use of both feature information when the number of video features is close to the number of audio features.

Preprint ARTICLE | doi:10.20944/preprints202107.0386.v1

GLIB: Towards Automated Test Oracle for Graphically-Rich Applications

Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang

Subject: Computer Science And Mathematics, Software Keywords: Automated Test Oracle; Game Testing; GUI Testing; Deep Learning

Online: 16 July 2021 (16:17:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0678.v1

Using Machine Learning to Map Western Australian Landscapes

Thomas Albrecht, Ignacio González-Álvarez, Jens Klump

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: supervised machine learning; automated landscape mapping; digital elevation model

Online: 26 April 2021 (14:44:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0184.v1

Uncertainty and Motivation to Seek Information from Pharmacy Automated Communications

Michelle Bones, Martin Nunlee

Subject: Medicine And Pharmacology, Other Keywords: pharmacy; patient communication; pharmacy communications; interpersonal communications; automated telemarketing telephone calls; telephone messages; automated messages; communication theory; customer relation management; CRM; pharmacy practice

Online: 16 April 2018 (04:31:24 CEST)

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Preprint REVIEW | doi:10.20944/preprints202404.0732.v1

Review and Evaluation of Automated Charging Technologies for Heavy-Duty Vehicles

Emma Megan Piedel, Alexander Grahle, Enrico Lauth, Dietmar Göhlich

Subject: Engineering, Automotive Engineering Keywords: Heavy-duty vehicles; transport electrification; automated charging; technology readiness level

Online: 11 April 2024 (04:04:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.1711.v1

A Meta-Analysis of Sustainable Fashion Studies Since the Rana Plaza Collapse and Its Relation to the SDGs

Aki Nagano

Subject: Social Sciences, Other Keywords: sustainable fashion; sustainable development goals; academic agenda; automated content analysis

Online: 22 December 2023 (07:20:37 CET)

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Preprint REVIEW | doi:10.20944/preprints202310.0366.v1

Explainability of Automated Fact Verification Systems: A Comprehensive Review

Manju Vallayil, Parma Nand, Wei Qi Yan, Héctor Allende-Cid

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: automated fact verification; AFV; explainable artificial intelligence; XAI; explainable AFV

Online: 9 October 2023 (15:08:33 CEST)

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Preprint REVIEW | doi:10.20944/preprints202209.0067.v1

High-Definition Map Representation Techniques for Automated Vehicles

Babak Ebrahimi Soorchaei, Mahdi Razzaghpour, Rodolfo Valiente Romero, Arash Raftari, Yaser Pourmohammadi Fallah

Subject: Engineering, Automotive Engineering Keywords: Connected & Automated Vehicles; Navigation; High Definition (HD Map); Map Representation

Online: 5 September 2022 (13:46:43 CEST)

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Preprint REVIEW | doi:10.20944/preprints202207.0448.v1

The Emergence of Automated Vehicles and their Potential Implications for Urban Mobility: A Review of the Literature and Synthesis of Use Cases

Abebe Dress Beza, Sesil Koutra, Frederic John, Dimitrios Thomas

Subject: Engineering, Automotive Engineering Keywords: automated vehicles; land use; potential implication; urban mobility; use cases

Online: 29 July 2022 (04:31:50 CEST)

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Preprint REVIEW | doi:10.20944/preprints202111.0039.v1

Evolution of the Sustainable Tourism Concepts

Vasja Roblek, Danijel Drpić, Maja Meško, Vedran Milojica

Subject: Business, Economics And Management, Business And Management Keywords: sustainable hospitality; sustainable tourism; holistic sustainability; ESG; automated content analysis

Online: 2 November 2021 (10:48:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0303.v1

Detecting Lower Back Pain Using Stacked Ensemble Approach

Samir Bandyopadhyay, Shawni Dutta

Subject: Medicine And Pharmacology, Anesthesiology And Pain Medicine Keywords: Lower back pain; automated tool; ML; ensemble technique; stacked generalization

Online: 14 July 2020 (11:31:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201909.0067.v1

Electronic Active Calibration of Fluxgate Magnetometers

Gustavo Cabral, Andre Wiermann, Luiz C. C. Benyosef

Subject: Physical Sciences, Applied Physics Keywords: fluxgate magnetometer; magnetic sensor; calibration; automated systems; geophysics; geomagnetic field

Online: 6 September 2019 (03:55:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0111.v1

Improvement of Ultrasonic Inspection of the Forging Titanium Alloy

Teodor Tranca, Iuliana Radu

Subject: Chemistry And Materials Science, Metals, Alloys And Metallurgy Keywords: pulse volume; signal noise ratio; automated ultrasonic testing; simulation software

Online: 9 May 2019 (12:47:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1718.v1

Energy Aware Camera Location Search Algorithm for Increasing Precision of Observation in Automated Manufacturing

Rongfei Li, Farhad Assadian

Subject: Engineering, Control And Systems Engineering Keywords: energy-aware; optimization; visual servoing; eye-to-hand configuration; automated manufacturing

Online: 26 August 2024 (02:33:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1999.v1

Modular Microgrid Technology with a Single Development Environment per Life Cycle

Teodora Mîndra, Oana Chenaru, Radu Dobrescu, Lucian Toma

Subject: Engineering, Energy And Fuel Technology Keywords: microgrid; life cycle; sizing optimization; automated reporting; operation and predictive maintenance

Online: 25 July 2024 (09:23:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0740.v1

Automated Non-Sterile Pharmacy Compounding: A Multi-Site Study in European Hospital and Community Pharmacies with Pediatric Immediate Release Propranolol Hydrochloride Tablets

Niklas Sandler, Farnaz Shokraneh, Mahsa Bahman, Julius Lahtinen, Niko Hassinen, Sari Airaksinen, Soumya Verma, Ludmila Hrizanovska, Jana Lass, Jyrki Heinämäki, Urve Paaver, Anssi Karlstedt, Janika Tähnas, Christoph Klaas, Catharina Kern, Adeline Bienfait, Frédéric Lagarce, Dominic Fenske, Katrin Muehlenfeld, Julia Malik, Holger Scherliess, Samuli Ojala, Sara P Cruz, Mattias Paulsson, Katja Kammonen, Maria Rautamo, Hendrik Lueck, Herwig Heindl, Laurent Carrez, Antoine Pierrot, Ralf Harnish, Stephanie Stareprawo, Marija Tubic-Grozdanii, Stefanie Zibolka, Uli Loesch, Martina Jeske, Ulrich Griesser, Karin Hummer, Andreas Thalmeier, Marianne Leitner, Susan Bischoff, Ralph Heimke-Brinck, Janine Paulus-Rohmer, Karim Khouckh, Fabien Bruno, Anna Harjans, Torsten Hoppe-Tichy

Subject: Medicine And Pharmacology, Pharmacy Keywords: automated compounding; hospital and community pharmcies; pharm inks; integrated quality control

Online: 13 March 2024 (12:02:20 CET)

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Preprint REVIEW | doi:10.20944/preprints202309.0614.v1

Automated Monitoring of the Uniform Demagnetization Faults in Permanent Magnet Synchronous Motors: Practical Methods and Challenges

Junxiang Li, Ziang Li, Jian Zhang, Shuyuan Zhao, Feitian Cheng, Chuan Qian, Xingyu Hu, Guoxiang ZHOU

Subject: Engineering, Automotive Engineering Keywords: Automated monitoring; Permanent magnet synchronous motor; Sustainable energy resources; Demagnetization faults.

Online: 11 September 2023 (09:32:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0278.v1

Unsupervised Analysis of Small Molecule Mixtures by Wavelet-Based Super-Resolved NMR

Aritro Sinha Roy, Madhur Srivastava

Subject: Chemistry And Materials Science, Physical Chemistry Keywords: NMR; shift spectra; wavelet packet transform; automated small molecule mixture analysis

Online: 15 December 2022 (09:00:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0086.v1

Evaluation of Serological Tests to Determine Postvaccinal Immunity to SARS-Cov-2 by Mrna Vaccines

Graciela Iglesias García, Ángel Díaz Rodíguez, Beatriz Díaz Rodríguez, Carmela Cuello Estrada, Tania Ferreiro García, Noelia Crespo García, Jesús Seco-Calvo

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: automated immunoassays; COVID-19; lateral flow immunoassay; performance; SARS-CoV-2

Online: 4 November 2022 (01:59:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202104.0404.v1

Putting It All Together: Combining Learning Analytics Methods and Data Sources to Understand Students’ Approaches to Learning Programming

Sonsoles López-Pernas, Mohammed Saqr, Olga Viberg

Subject: Business, Economics And Management, Accounting And Taxation Keywords: automated assessment; computer science; learning analytics; process mining; programming; sequence mining

Online: 15 April 2021 (09:40:33 CEST)

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Preprint REVIEW | doi:10.20944/preprints201810.0653.v3

A Trajectory-Based Method to Explore Reaction Mechanisms

Saulo A. Vázquez, Xose L. Otero, Emilio Martinez-Nunez

Subject: Chemistry And Materials Science, Theoretical Chemistry Keywords: automated algorithm; molecular dynamics; graph theory; statistical rate theory; kinetics simulations

Online: 2 December 2018 (09:39:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1970.v1

Energy-Efficient TRIZ-Inspired Paradigm to Automate Consumer Electronic Devices

Abdul Razaque, Joon Yoo, Gulnara Bektemyssova, Mohsin Ali, Satybaldiyeva Ryskhan, Aziz Alotaibi, Jaeryong Hwang, Majid Alshammari

Subject: Engineering, Automotive Engineering Keywords: automated switching system; motion detection; TRIZ principles; energy efficiency; smart energy management

Online: 29 January 2024 (08:36:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.1644.v1

Automated Code Generation for Industrial Applications Based on Configurable Programming Models

Alexios Lekidis

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Industry 4.0; Programming Model; Automated Code Generation; Ethernet Powerlink; CANopen; Fault-Tolerance

Online: 23 August 2023 (09:19:40 CEST)

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As the demands in reliability and high-degree of automation in industrial applications are increasing exponentially, the current Industry 4.0 trend lies in migrating towards smarter technologies that increase flexibility and provide autonomous operation. To tackle this, manufacturers shifted towards Real-Time Ethernet communication which supports autonomous operation, faster sensor/actuator configuration and high degree of determinism. Nevertheless, the uninterrupted operating principle of legacy industrial systems as well as the system complexity and heterogeneity constitutes the transition to Real-Time Ethernet very challenging. This article proposes a novel method allowing to automate the generation of executable code for Real-Time Ethernet architectures based on high-level programming models. The method is based on a programming model and modular code artifacts for the hardware architecture, employing Real-Time Ethernet communication. Through an tool-supported algorithm the high-level model is linked to the architecture's communication primitives and interfaces. The tool-support reduces significantly the development and debugging effort for Real-Time Ethernet applications and increases the application reliability, since the generated code is based on verified programming models. Additionally, the tool creates dedicated files, which allow automated industrial network configuration without any human intervention. Finally, by embedding firewall policies into the code generation process, the method guarantees cyber-resilience for the Real-Time Ethernet architecture. We demonstrate the proposed method in Programmable Logic Controllers (PLCs) of a Public Power Corporation's Hydroelectric Power Plant, which control the temperature and rotor speed of a power generator. The results demonstrate the method's ability to generate rapidly trustworthy and fault-tolerant code for the autonomous plant operation. The hurdles in time and effort for developing, configuring and debugging Real-Time Ethernet applications can be minimized through a high-level programming model that allows automated generation of executable code that is reusable for similar applications. Such time and effort reduction may pave the way towards the Industry 4.0 area.

Preprint ARTICLE | doi:10.20944/preprints202308.0062.v1

An Interpretable and Explainable AI Framework for Urban-Suburban Traffic Analysis and Understanding

Stefano Ferilli, Davide Di Pierro, Domenico Redavid, Eleonora Bernasconi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: road traffic understanding; artificial intelligence; clustering; process mining; automated reasoning; computer vision

Online: 1 August 2023 (11:18:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0317.v1

SBOannotator: a Python Tool for the Automated Assignment of Systems Biology Ontology Terms

Nantia Leonidou, Elisabeth Fritze, Alina Renz, Andreas Dräger

Subject: Computer Science And Mathematics, Computer Science Keywords: SBOannotator; ontologies; SBO terms; Python; software; automated assignment; computational modeling; systems biology

Online: 20 February 2023 (03:57:56 CET)

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Preprint REVIEW | doi:10.20944/preprints202008.0215.v2

Deep Learning Driven Automated Detection of COVID-19 from Radiography Images: A Comparative Analysis

Sejuti Rahman, Sujan Sarker, Abdullah Al Miraj, Ragib Amin Nihal, A. K. M. Nadimul Haque, Abdullah Al Noman

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: COVID-19; deep learning; radiography; automated detection; medical imaging; SARS-CoV-2

Online: 19 October 2020 (10:49:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0333.v1

Early Lung Cancer Prediction Using Neural Network with Cross-Validation

Samir Bandyopadhyay, Shawni Dutta

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: Lung Cancer Prediction; Neural Network; Cross-validation; Gradient Boosting Classifier; Automated tool

Online: 28 June 2020 (09:56:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0476.v1

High Precision Positioning and Rotation Angle Estimation of Flatbed Truck Based on Beidou and Vision

Xinli Yu, Yufei Ren, Xiaoxv Yin, Deqiang Meng, Haikuan Zhang

Subject: Engineering, Transportation Science And Technology Keywords: unmanned forklift; automated loading; feature construction; Beidou and vision localization; rotation angle estimation

Online: 8 February 2024 (05:11:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0426.v1

Research on Specific Scenario Generation Methods for Autonomous Driving Simulation Tests

Ning Li, Lingshan Chen, Yongchao Huang

Subject: Engineering, Automotive Engineering Keywords: automated driving virtual simulation; subjective empowerment; objective empowerment; combined testing; test case generation

Online: 7 November 2023 (09:30:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1212.v1

NR Sidelink Performance Evaluation for Enhanced 5G-V2X Services

Mehnaz Tabassum, Felipe Henrique Bastos, Aurenice Oliveira, Aldebaro Klautau

Subject: Engineering, Electrical And Electronic Engineering Keywords: cellular V2X; 5G V2X; side-link; 5G NR, 3GPP; connected and automated vehicles

Online: 19 October 2023 (03:59:57 CEST)

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Preprint REVIEW | doi:10.20944/preprints202010.0388.v1

Data-Driven Automated Detection of Autism Spectrum Disorder Using Activity Analysis: A Review

Omar Shahid, Sejuti Rahman, Syeda Faiza Ahmed, Musabbir Ahmed Arrafi, M.A.R. Ahad

Subject: Engineering, Automotive Engineering Keywords: Autism Spectrum Disorder; activity analysis; automated detection; repetitive behavior; abnormal gait; visual saliency

Online: 19 October 2020 (14:49:24 CEST)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202003.0038.v1

Automated Inundation History Mapping over Large Areas using Landsat and Google Earth Engine

Victoria L Inman, Mitchell B Lyons

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Okavango Delta; inundation maps; inundation extent; Landsat; Google Earth Engine; automated time series

Online: 3 March 2020 (11:25:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0205.v1

Variation of the Performance of Machine-Learning Based Image Classifier in Automated Detection of Itch-Induced Scratch

Chuan Liu, Sheng-Xiang Yan, Xiao-Bo Wu, Zhi-Jun Zhang, Wei Li

Subject: Social Sciences, Behavior Sciences Keywords: itch; scratch; automated real-time detection; machine-learning based image classifier; image sharpness

Online: 19 January 2020 (03:13:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.1083.v1

Integrating YOLOv5, Jetson Nano, and Mitsubishi Manipulator for Real-time Machine Vision Application in Manufacturing

Ardian Webi Kirda, Paweł Majewski, Gerard Bursy, Marian Bartoszuk, Hayati Yassin, Grzegorz Krolczyk, Nur Arifin Akbar, Wahyu Caesarendra

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: automated chamfering and grinding; deep learning; intelligent manufacturing and remanufacturing; machine vision; robotic manufacturing

Online: 13 September 2024 (11:50:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2131.v1

Sustainability of Automated Manufacturing Systems with Resources by Means of Their Deadlock Prevention

František Čapkovič

Subject: Engineering, Control And Systems Engineering Keywords: automated manufacturing systems; deadlock prevention; Petri nets; resource allocation systems; siphons; supervisor; sustainability; traps

Online: 26 July 2024 (05:15:48 CEST)

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Preprint REVIEW | doi:10.20944/preprints202407.0493.v1

Applications of Blockchain and Smart Contracts to address challenges of Cooperative, Connected and Automated Mobility

Christos N Kontos, Theodor Panagiotakopoulos, Achilles Kameas

Subject: Computer Science And Mathematics, Computer Science Keywords: Cooperative; Connected and Automated Mobility; Blockchain; Smart Contracts; Internet of Things; Internet of Vehicles

Online: 5 July 2024 (09:19:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.2072.v1

Real-Time Quality Inspection through Industry 4.0 Technologies

Junior Anchundia, Francescoly Berrones, Alexandra Verdugo, Mayra Comina

Subject: Engineering, Mechanical Engineering Keywords: Quality 4.0; digital transformation; Industry 4.0; artificial intelligence in quality control; automated inspection systems

Online: 30 May 2024 (15:52:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.2117.v1

Mathematical Method of Rational Placement of Gas Fire Sensors

Andrey Eugenievitch Petrov

Subject: Computer Science And Mathematics, Security Systems Keywords: Gas Sensors; Mathematical Model; Rational Location; Automated System; Early Fire Detection; Gas Control Systems.

Online: 31 August 2023 (08:44:07 CEST)

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Ensuring fire safety is an important condition for the successful operation of industrial enterprises. It is necessary to detect the threat of fire before ignition. An indicator of danger is the appearance of gas, which occurs as a result of unauthorized heating of equipment. Gas sensors make it possible to detect the appearance of gases characteristic of the decomposition of materials at the stage of smouldering and pyrolysis, which cause a change in the composition of the atmosphere. This paper presents a mathematical method for the rational placement of gas analyzers for premises of potentially hazardous industries. It is the rational placement of gas sensors, which ensures safety, taking into account economic feasibility that determines the effectiveness of their use. For the first time, the analysis of gas accumulation during the movement of the flow from the source to the ceil-ing, then propagation to the location of the sensors, is used for the first time to select the placement of gas sensors. Depending on the permissible values of the gas volume, the placement and number of gas sensors are selected. The calculation of the conditions for the rational placement of gas sen-sors for the most common indicators, such as carbon monoxide and hydrogen at different sizes and heights of rooms, is carried out. The method of calculating the location of gas analyzers makes it possible to diagnose and predict fire hazard at technological facilities on the basis of gas control, and compare the obtained values with the maximum permissible values. This method provides cal-culation of the coordinates of the gas source from the coordinates of the triggered sensors. Knowing the coordinates of all sensors, the coordinates of the sensors that gave the alarm, and the formula for determining the volume of the gas cloud under these sensors, it is possible to assess the localization of the source of dangerous gas in the protected room. This increases the efficiency of the fire safety system. The method makes it possible to control the layout of sensors depending on the volume of protected premises, types of production, the creation of new sensors, changes in the composition of hazardous gas in different technological conditions.

Preprint ARTICLE | doi:10.20944/preprints202308.1240.v1

The Development and Validation of a Lightweight Automated Stock Trading System Using Deep Learning Models: Employing Technical Analysis Methods

SeongJae Yu, Sung-Byung Yang, Sang-Hyeak Yoon

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Attention Mechanism; Stock Forecasting; Deep Learning; Technical Analysis Method; Lightweight Automated Stock Trading System

Online: 17 August 2023 (09:04:02 CEST)

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Individual investors often struggle to predict stock prices due to the limitations imposed by the computational capacities of personal laptop Graphics Processing Units (GPUs) when running intensive deep learning models. This study proposes solving these GPU constraints by integrating deep learning models with technical analysis methods. This integration significantly reduces analysis time and equips individual investors with the ability to identify stocks that may yield potential gains or losses in an efficient manner. Thus, a comprehensive buy and sell algorithm, compatible with average laptop GPU performance, is introduced in the study. This algorithm offers a lightweight analysis method that emphasizes factors identified by technical analysis methods, thereby providing a more accessible and efficient approach for individual investors. To evaluate the efficacy of this approach, we analyzed the performance of eight deep learning models: LSTM (4 layers), CNN, BiLSTM (4 layers), CNN Attention, BiGRU CNN BiLSTM Attention, BiLSTM Attention CNN, CNN BiLSTM Attention, and CNN Attention BiLSTM. These models were used to predict stock prices for Samsung Electronics and Celltrion Healthcare. The CNN Attention BiLSTM model displayed superior performance among these models, with the lowest validation mean absolute error value. In addition, an experiment was conducted using WandB Sweep to determine the optimal hyperparameters for four individual hybrid models. These optimal parameters were then implemented in each model to validate their back-testing rate of return. The CNN Attention BiLSTM hybrid model emerged as the highest-performing model, achieving an approximate rate of return of 5 percent. Overall, this study offers valuable insights into the performance of various deep learning and hybrid models in predicting stock prices. These findings can assist individual investors in selecting appropriate models that align with their investment strategies, thereby increasing their likelihood of success in the stock market.

Preprint ARTICLE | doi:10.20944/preprints202102.0186.v1

Automated Gold Grain Counting. Part 1: Why Counts Matter!

Réjean Girard, Jonathan Trembaly, Alexandre Néron, Hugues Longuépée

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: gold; till; gold grain recovery; gold grain size; automated SEM; gold exploration; drift prospecting

Online: 8 February 2021 (11:01:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0381.v1

Automated Conditional Screening of Escherichia Coli Knockout Mutants in Parallel Adaptive Fed-Batch Cultivations

Sebastian Hans, Benjamin Haby, Niels Krausch, Barz Tilman, Peter Neubauer, Mariano Nicolas Cruz-Bournazou

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: high throughput screening; rapid phenotyping; model-based experimental design; Escherichia coli; automated bioprocess development

Online: 17 September 2020 (07:34:19 CEST)

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Working Paper ARTICLE

Automated Detection and Classification of Defective and Abnormal Dies in Wafer Images

Hsiang-Chieh Chen

Subject: Engineering, Electrical And Electronic Engineering Keywords: automated visual inspection; convolutional neural network; deep learning; pattern classification; semiconductor inspection; wafer map

Online: 7 April 2020 (11:30:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201906.0251.v1

PyNTA: An Open Source Software Application for Live Particle Tracking

Sanli Faez, Aquiles Carattino, Allard Mosk

Subject: Physical Sciences, Applied Physics Keywords: video microscopy, imaging, automated data acquisition, nanoparticle tracking, measurement embedded applications, open-source software

Online: 25 June 2019 (12:53:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.0957.v1

Fundamental Components and Principles of Supervised Machine Learning Workflows with Numerical and Categorical Data

Styliani I. Kampezidou, Archana Tikayat Ray, Anirudh Prabhakara Bhat, Olivia J. Pinon Fischer, Dimitri N. Mavris

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine learning workflow; Supervised learning; Numerical data; Categorical data; Data engineering; Extraction, loading, transformation; Feature engineering; Automated feature extraction; Machine learning engineering; Training, validation, evaluation; Test-driven development; Automated machine learning; Model deployment

Online: 13 December 2023 (08:00:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.1263.v1

Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and Prioritisation

Martina Cotena PhD, Angela Ayobi, Colin Zuchowski, Jacqueline C. Junn, Brent D. Weinberg, Peter D. Chang, Daniel S. Chow, Jennifer E. Soun, Mar Roca-Sogorb, Yasmina Chaibi, Sarah Quenet

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: aortic dissection; automated detection; deep learning; prioritised worklist; emergency radiology; multi-reader multi-case study

Online: 16 October 2024 (11:38:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1096.v1

Log Based Fault Localization with Unsupervised Log Segmentation

Wojciech Dobrowolski, Kamil Iwach-Kowalski, Maciej Nikodem, Olgierd Unold

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Automated Log Analysis; Log-based Fault Localization; Log Sequence; Unsupervised Log Sequence Segmentation; Software Reliability

Online: 15 August 2024 (07:30:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0410.v1

Correctness Verification of Mutual Exclusion Algorithms by Model Checking

Libero Nigro, Franco Cicirelli

Subject: Computer Science And Mathematics, Computer Science Keywords: Mutual exclusion algorithms; correctness analysis; automated reasoning; model checking; statistical model checking; Timed Automata; Uppaal

Online: 5 April 2024 (06:41:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0159.v1

Automating Laser Vision Correction

Diego de Ortueta

Subject: Medicine And Pharmacology, Ophthalmology Keywords: automated; transepithelial photorefractive keratectomy; TransPRK; photorefractive keratectomy; aberration free; refraction; AMARIS; Peramis; MS-39; OCT.

Online: 4 March 2024 (12:19:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0306.v1

Towards Enhancing Automated Defect Detection (ADR) in Digital X-ray Radiography Applications: Synthesizing Training Data Through X-ray Intensity Distribution Modeling for Deep Learning Algorithms

Bata Hena, Ziang Wei, Luc Perron, Clemente Ibarra Castanedo, Xavier P. V. Maldague

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: non-destructive testing; synthetic data; deep learning; automated defect recognition (ADR); digital X-ray radiography

Online: 6 December 2023 (04:00:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1414.v1

Adaptive Self-Configuring Simulation Model for Planning and Optimizing Disassembly Scenarios for Electric Vehicle Batteries

Sabri Baazouzi, Julian Joël Grimm, Kai Peter Birke

Subject: Engineering, Mechanical Engineering Keywords: electric vehicle batteries; disassembly; disassembly scenarios; automated disassembly, self-configuring model, multi-method simulation, optimization

Online: 23 October 2023 (10:28:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0022.v1

Deep Learning Neural Network Performance on NDT Digital X-ray Radiography Images: Analyzing the Impact of Image Quality Parameters - An Experimental Study

Bata Hena, Ziang Wei, Clemente Ibarra Castanedo, Xavier Maldague

Subject: Engineering, Aerospace Engineering Keywords: non-destructive testing; deep learning; automated defect recognition (ADR); semantic segmentation; digital X-ray radiography

Online: 3 April 2023 (10:25:31 CEST)

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Working Paper ARTICLE

Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies

Viktor Tihanyi, Tamás Tettamanti, Mihály Csonthó, Arno Eichberger, Dániel Ficzere, Kálmán Gangel, Leander B. Hörmann, Maria A. Klaffenböck, Christoph Knauder, Patrick Patrick Luley, Zoltan Ferenc Magosi, Gábor Magyar, Huba Németh, Gábor Soós, Jakob Reckenzaun, Viktor Remeli, András Rövid, Matthias Ruether, Selim Solmaz, Zoltán Somogyi, Dávid Szántay, Tamás Attila Tomaschek, Pál Varga, Zsolt Vincze, Christoph Wellershaus, Zsolt Szalay

Subject: Engineering, Automotive Engineering Keywords: vehicle detection; automated driving; autonomous vehicles; measurement campaign; 5G; vehicle sensors; infrastructure sensors; UHD map

Online: 15 March 2021 (16:46:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0460.v1

Perceived Importance and Quality Attributes of Automated Parcel Lockers Services in Urban Areas

Maria Cieśla

Subject: Engineering, Transportation Science And Technology Keywords: automated deliveries; city parcel lockers; customer service quality; courier transport; Kano model; parcel lockers; quality features

Online: 7 September 2023 (13:30:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0538.v1

Path Planning for Perpendicular Parking of Large Articulated Vehicles Based on Qualitative Kinematics and Geometric Methods

Inhwan Han

Subject: Engineering, Automotive Engineering Keywords: large articulated vehicles; automated perpendicular parking; geometric path plans; empirical methods; articulation angles; qualitative kinematics; uncertainties

Online: 7 June 2023 (10:44:54 CEST)

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Working Paper ARTICLE

Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping

Joshua C.O Koh, German Spangenberg, Surya Kant

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: automated machine learning; Neural Architecture Search; high-throughput plant phenotyping; wheat lodging assessment; unmanned aerial vehicle.

Online: 1 February 2021 (14:11:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints201612.0141.v1

Dynamic Threshold Selection for the Classification of Large Water Bodies within Landsat-8 OLI Water Index Images

Fangfang Zhang, Junsheng Li, Qian Shen, Bing Zhang, Huping Ye, Shenglei Wang, Zhaoyi Lu

Subject: Environmental And Earth Sciences, Environmental Science Keywords: automated water extraction; landsat 8 Operational Land Imager (OLI); modified histogram bimodal method (MHBM); remote sensing

Online: 29 December 2016 (10:49:38 CET)

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Preprint REVIEW | doi:10.20944/preprints202407.0729.v2

Minimally Invasive Lumbar Disc Hernia Surgery: Mapping the Landscape of Techniques and Outcomes through Bibliometric Analysis of Current Meta-analyses

Halil Bulut, Kursat Guner, Omer Polat, Peter Derman

Subject: Orthopedics And Sports Medicine, Medicine And Pharmacology Keywords: Lumbar disc herniation; discectomy; full-endoscopic lumbar discectomy (FELD); automated percutaneous discectomy (AUTD); Microendoscopic Discectomy (MED) ;

Online: 21 October 2024 (11:40:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.1164.v1

AutoTrendyKeywords: Real-Time AI-Driven Trend-Based SEO Using LLMs

Praneeth Vadlapati

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial Intelligence (AI); Search Engine Optimization (SEO); SEO Strategy; Trend Monitoring; Automated SEO; Large Language Models (LLMs)

Online: 15 October 2024 (08:43:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0611.v1

A method for automatically detecting errors in an embedded English speech teaching system

Soumya Majumdar, Karan Das, Omar Abdullah Chowdhury, Ashutosh Prasad Yadav, Bapun Sahoo

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Teaching System, Error Detection, Automated detectors, Online Learning, Spoken English, Speech Teaching System, Artificial Intelligence, Speech Recognition

Online: 9 April 2024 (09:40:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0352.v1

Artificial Neuron-based Model for a Hybrid Real-Time System: Induction Motor Case Study

Manuel Isidoro Capel

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Quality real-time systems; Automated Machine Learning; Real-time embedded control systems; Cyber-physical systems; Neural Networks

Online: 25 May 2022 (11:17:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1014.v1

The Impact of Artificial Intelligence on Global Journalism Industry: An Analytical Study

Safran Almakaty

Subject: Social Sciences, Media Studies Keywords: Artificial Intelligence; global journalism; automated content generation; technological advancements; editorial judgment; accuracy in journalism; media evolution; technology integration

Online: 14 August 2024 (08:20:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1215.v1

Examining the Impact of Technology Adoption on Marketing Strategies in Retail

Oliver Johnson, William Brown, George Wilson

Subject: Business, Economics And Management, Business And Management Keywords: technology adoption; retail marketing; artificial intelligence; big data analytics; augmented reality; virtual reality; mobile technology; automated customer service

Online: 16 July 2024 (10:33:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1634.v1

Simulating AGVs in a modern production environment using Petri Nets and GPenSIM

Marius Gade, Matthias Schedel, Reggie Davidrajuh

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Automated Guided Vehicles; Toy Car Assembly; Petri Nets; GPenSIM; Modeling and Simulation; AGV battery life; AGV charging infrastructure

Online: 24 April 2024 (17:33:34 CEST)

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Preprint REVIEW | doi:10.20944/preprints202309.1680.v1

Towards BIM-based Sustainable Structural Design Optimization: A Systematic Review and Industry Perspective

Muhammad Afzal, Rita Yi Man Li, Muhammad Faisal Ayyub, Muhammad Shoaib, Muhammad Bilal

Subject: Engineering, Architecture, Building And Construction Keywords: automated structural design; Building Information Modeling (BIM); design automation; generative design; interoperability; Structural Design Optimization (SDO); systematic framework

Online: 25 September 2023 (11:25:42 CEST)

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Structural design optimization (SDO) plays a pivotal role in enhancing various aspects of construction projects, including design quality, cost-efficiency, safety, and structural reliability. Recent endeavors in academia and industry have sought to harness the potential of Building Information Modeling (BIM) and optimization algorithms to optimize SDO and improve design outcomes. This review paper aims to synthesize these efforts, shedding light on how SDO contributes to project coordination. Furthermore, the integration of sustainability considerations and the application of innovative technologies and optimization algorithms in SDO necessitate more interactive early-stage collaboration among project stakeholders. This study offers a comprehensive exploration of contemporary research in integrated SDO employing BIM and optimization algorithms. It commences with an exploratory investigation, employing both qualitative and quantitative analysis techniques following the PRISMA systematic review methodology. Subsequently, an open-ended opinion survey was conducted among construction industry professionals in Europe. This survey yields valuable insights into the coordination challenges and potential solutions arising from technological shifts and interoperability concerns associated with widespread SDO implementation. These preliminary steps of systematic review and industry survey furnish a robust knowledge foundation, enabling the proposal of an intelligent framework for automating early-stage sustainable structural design optimization (ESSDO) within the construction sector. The framework ESSDO addresses the challenges of fragmented collaboration between architects and structural engineers. This proposed framework seamlessly integrates with the BIM platform, i.e., Autodesk Revit for architects. It extracts crucial architectural data and transfers it to the structural design and analysis platform, i.e., Autodesk Robot Structural Analysis (RSA), for structural engineers via the visual programming tool Dynamo. Once the optimization occurs, optimal outcomes are visualized within BIM environments. This visualization elevates interactive collaborations between architects and engineers, facilitating automation throughout the workflow and smoother information exchange.

Preprint ARTICLE | doi:10.20944/preprints202107.0638.v1

Leaf Diseases Detection of Medicinal Plants based on Image Processing and Machine Learning Processes

Payal Bose, SHAWNI DUTTA, Vishal Goyal, Samir K. Bandyopadhyay

Subject: Biology And Life Sciences, Plant Sciences Keywords: Image Processing; Automated Plant Diseases Detection; Histogram Oriented Gradient (HOG); Local Binary Pattern (LBP); Support Vector Machine (SVM)

Online: 28 July 2021 (17:18:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0109.v1

An Analysis of Time-Varying Crowding on Subway Platforms using AFC Data in Seoul Metropolitan Subway Network

Seongil Shin Shin, Sangjun Lee

Subject: Computer Science And Mathematics, Information Systems Keywords: Automated Fare Collection (AFC); Smart Card; Crowding; Practical Waiting Area; Subway Station Platform; Time-Varying; Late-Night Peak

Online: 6 March 2020 (09:02:01 CET)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202107.0557.v1

Human and Social Dimensions in CPS & IoT based Automated Production Systems

Hind Bril El-Haouzi, Etienne Valette, Bettina-Johanna Krings, António Brandão Moniz

Subject: Computer Science And Mathematics, Information Systems Keywords: Industry 4.0; Cyber-Physical Systems (CPS); Internet of Things (IoT); Human factors; Automated production Systems; Social interactions; Social Networks

Online: 26 July 2021 (09:47:59 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202312.0554.v1

A Study on Automated Problem Troubleshooting in Cloud Environments with Rule Induction and Verification

Arnak Poghosyan, Ashot Harutyunyan, Edgar Davtyan, Karen Petrosyan, Nelson Baloian

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: automated troubleshooting; real-time product activity detection; problem root cause analysis; machine learning; explainable AI; proactive SaaS support

Online: 8 December 2023 (04:34:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.0699.v1

Integrated Scale Adaptive Adjustment Factor Enhanced BlendMask Method for Pineapple Processing System

Haotian Wang, Haojian Zhang, Yukai Zhang, Jieren Deng, Chengbao Liu, Jie Tan

Subject: Engineering, Automotive Engineering Keywords: Instance segmentation; 3D vision; Automated processing; Machine learning; Path planning; Mechatronics

Online: 9 August 2024 (11:38:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0410.v1

Evaluating Swarm Robotics for Diverse Mining Environments: Insights into Model Performance and Application

Joven Tan, Noune Melkoumian, David Harvey, Rini Akmeliawati

Subject: Engineering, Mining And Mineral Processing Keywords: Intelligent mining; smart mining; new mining technology; sustainable mining practices; Automated mining equipment; Mining technology of complex and difficult mining body

Online: 6 August 2024 (10:00:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0431.v1

The Fourth Industrial Revolution and the Sustainability Practices: A Comparative Automated Content Analysis Approach of Theory and Practice

Vasja Roblek, Oshane Thorpe, Maja Meško, Mirjana Pejic Bach, Andrej Jerman

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: sustainability; Industry 4.0; automated content analysis; sustainable investment; corporate social responsibility; sustainable standards; sustainable reporting; smart manufacturing; renewable energy; cleaner production

Online: 18 September 2020 (11:11:47 CEST)

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Background (1) In the time of the 4th Industrial Revolution or Industry 4.0, a conglomerate of technical and social inventions, political contexts, socio-cultural circumstances, environmental policies, business models, and economic policies has emerged. Sustainability policy in theory and practice aims to deal with the effects of all these factors and to try to make decisions that ensure both social and economic development sustainably. The question is how to familiarize oneself with the current knowledge about the relationship between Industry 4.0 and sustainability?; (2) Methods: This research utilizes an automated content analysis method to analyses scientific journals, newspapers and magazines. The comparison of results of both research group shows that the scientific literature focuses more on changes in business models, production processes and technologies that enable sustainable development; (3) We found that the scientific literature focuses more on changes in business models, production processes and technologies that enable sustainable development. Newspapers and magazines articles write more about sustainable or green investment, sustainable standards and sustainable reporting. Newspapers and magazines articles write more about sustainable or green investment, sustainable standards and sustainable reporting. Newspapers, as well as some latest research journals, include articles of the COVID-19 outbreak and its effect on the economy and the environment. Indeed, the outbreak of the virus brings a new thought to the reorganization of the complex relationships between consumers, businesses and the state; (4) Conclusions: According to the comparison of the analyses of the results, it can is that the analyses of both types of literature, both scientific and professional, shows that there are common topics they write about, which are related to the field of clean production, emissions, renewable energy, climate change, sustainable investments and corporate sustainability. An urgent global issue that extends all over the world is the promotion of energy-saving technologies and reduction of carbon dioxide emissions.

Preprint ARTICLE | doi:10.20944/preprints201905.0090.v1

A new Deductive Method with Intelligence Using Pseudorandom Number for Solving Coin-Weighing Puzzles: Review of Inductive and Deductive Methods

Yoshiyasu Takefuji, Ren Yamada

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: intelligence; inductive methods; deductive methods; pseudorandom number; artificial intelligence; Prolog; Otter; Z3; deep learning; ensemble methods; automated reasoning; coin-weighing puzzles

Online: 8 May 2019 (10:03:46 CEST)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202410.2106.v1

Next-Generation Bug Reporting: Enhancing Development with AI Automation

Avinash Patil, Aryan Jadon

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Automated Bug Reporting; Bug Creation; Data Collection; Duplicate Detection; Failure Detection; Large Language Models; Machine Learning; Report Formatting; Severity Assessment; Quality Metrics

Online: 28 October 2024 (13:23:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0087.v1

Smart Core and Surface Temperature Estimation Techniques for Health-conscious Lithium-ion Battery Management Systems: A Model-to-Model Comparison

Sumukh Surya, Akash Samanta, Sheldon Williamson

Subject: Engineering, Electrical And Electronic Engineering Keywords: Electric Vehicles; Stationary Battery Energy Storage System; Battery Automated System; Online State Estimation; Thermal Modeling; First-order model; Second-order Model; Kalman Filtering

Online: 5 July 2021 (10:11:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0020.v1

A Fluorescent Real-time Plaque Assay Enables Single-cell Analysis of Virus-induced Cytopathic Effect by Live Cell Imaging

Jorge L. Arias-Arias, Eugenia Corrales-Aguilar, Rodrigo Mora-Rodríguez

Subject: Biology And Life Sciences, Virology Keywords: Vesicular Stomatitis; Herpes Simplex; Yellow Fever; Animal Viruses; Plaque Assay; Real-time; Live Cell Imaging, Automated Image Analysis; DNA Fluorescent Dyes, Antiviral Screening

Online: 1 June 2021 (10:40:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0962.v1

Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and Classification

Vladimir Laletin, Angela Ayobi, Peter D. Chang, Daniel Chow, Jennifer Soun, Jacqueline C. Junn, Marlene Scudeler, Sarah Quenet, Maxime Tassy, Christophe Avare, Mar Roca-Sogorb, Yasmina Chaibi

Subject: Medicine And Pharmacology, Emergency Medicine Keywords: deep learning; medical and biomedical image processing; aortic dissection; AI-based solution for radiology; machine learning diagnostic performance; medical imaging automated analysis; emergency radiology

Online: 11 July 2024 (12:33:57 CEST)

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Working Paper ARTICLE

Chasing the Major Sphingolipids on Earth: Automated Annotation of Plant Glycosyl Inositol Phospho Ceramides by Glycolipidomics

Lisa Panzenboeck, Nina Troppmair, Sara Schlachter, Gunda Koellensperger, Juergen Hartler, Evelyn Rampler

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: glycolipidomics; GIPC; glycosyl inositol phospho ceramides; Lipid Data Analyzer; lipidomics; sphingolipids; ultra-high pressure liquid chromatography; high-resolution mass spectrometry; LC-MS; automated annotation

Online: 8 September 2020 (12:34:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2350.v1

Effects of Generative AI in Tourism Industry

Galina Ilieva, Tania Yankova, Stanislava Klisarova-Belcheva

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: generative artificial intelligence; dynamic itinerary planning; AI-driven travel suggestions; automated review summarization; interactive travel assistance; tourism industry; smart travel planning; AI powered customer service

Online: 30 September 2024 (11:57:59 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.0580.v1

Smart Viniculture: Applying AI for Improved Winemaking and Risk Management

Inmaculada Izquierdo-Bueno, Javier Moraga, Jesús M. Cantoral, Maria Carbú, Carlos Garrido, Victoria E. González-Rodríguez

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial Intelligence; Precision Viticulture; Disease Prediction Models; Drone Technology; Automated Harvesting; Water and Nutrient Management; Sustainable Winemaking; Smart Agriculture; Pest Control; Data-Driven Decision Making

Online: 9 September 2024 (08:05:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0198.v1

Automated Quantification of Pneumonia Infected Volume in Lung CT Images: A Comparison With Subjective Assessment of Radiologists

Seyedehnafiseh Mirniaharikandehei, Alireza Abdihamzehkolaei, Angel CHOQUEHUANCA, MARCO AEDO, WILMER PACHECO, LAURA ESTACIO, VICTOR CAHUI, LUIS HUALLPA, KEVIN QUIÑONES, VALERIA CALDERON, ANA GUTIERREZ, ANA VARGAS, DERY GAMERO, EVELING CASTRO, Yuchen Qiu, Bin Zheng, Javier Jo

Subject: Engineering, Electrical And Electronic Engineering Keywords: Infected lung segmentation; Quantification of lung disease severity; Comparison be-tween manual and automated image segmentation; Deep Neural Network; COVID-19 detections; COVID-19 severity assessment

Online: 13 February 2023 (06:33:31 CET)

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