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Preprint ARTICLE | doi:10.20944/preprints202209.0387.v1

Towards Integrated Digital-twins: An Application Framework for Autonomous Maritime Surface Vessel Development

Minahil Raza, Hanna Prokopova, Samir Huseynzade, Sepinoud Azimi, Sebastien Lafond

Subject: Engineering, Marine Engineering Keywords: maritime autonomy; autonomous ship; safety; digital twin; deep reinforcement learning; collision avoidance; situational awareness

Online: 26 September 2022 (08:55:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0315.v1

Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms

Xuxin Chen, Ke Zhang, Ximin Wang, Neman Abdoli, Patrik W. Gilley, Hong Liu, Bin Zheng, Yuchen Qiu

Subject: Computer Science And Mathematics, Computer Science Keywords: Transformer; mammogram; multi-view; self-attention; computer-aided diagnosis; breast cancer; classification; deep learning

Online: 22 June 2022 (10:11:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0302.v1

Visualizing CoAtNet Predictions for Aiding Melanoma Detection

Daniel Kvak

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: skin cancer; melanoma; computer-aided diagnostics; image classification; CoAtNet; convolutional neural networks; deep learning

Online: 23 May 2022 (10:55:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0155.v1

Dynamic Alloying of Steels in the Super-Deep Penetration Mode

Yulia Usherenko, Viktors Mironovs, Sergey Usherenko, Vjaceslavs Lapkovskis, Andrei Shishkin

Subject: Chemistry And Materials Science, Metals, Alloys And Metallurgy Keywords: powder metallurgy; dynamic alloying; heat treatment; super-deep penetration; alloys; composite materials; mechanical properties

Online: 11 February 2022 (03:19:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0012.v1

Proactive Guidance for Accurate UAV Landing on a Dynamic Platform: A Visual-inertial Approach

Ching-Wei Chang, Li-Yu Lo, Hiu Ching Cheung, Yurong Feng, An-Shik Yang, Chih-Yung Wen, Weifeng Zhou

Subject: Engineering, Control And Systems Engineering Keywords: UAV; VTOL; Object Tracking; Deep Learning; Sensor fusion; Kalman Filter; Autonomous Landing; Optimal Trajectory

Online: 1 December 2021 (11:58:13 CET)

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Preprint REVIEW | doi:10.20944/preprints202105.0056.v2

Literature Analysis of Artificial Intelligence in Biomedicine

Tim Hulsen

Subject: Medicine And Pharmacology, Other Keywords: artificial intelligence; machine learning; deep learning; neural networks; biomedicine; healthcare; medicine; literature; PubMed; Embase

Online: 9 June 2021 (11:23:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0429.v1

Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks

Chayan Mondal, Md. Kamrul Hasan, Md. Tasnim Jawad, Aishwariya Dutta, Md. Rabiul Islam, Md. Abdul Awal, Mohiuddin Ahmad, Salem A. Alyami, Mohammad Ali Moni

Subject: Medicine And Pharmacology, Other Keywords: Acute lymphoblastic leukemia; Deep convolutional neural networks; Ensemble image classifiers; C-NMC-2019 dataset.

Online: 19 May 2021 (07:42:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0780.v1

Semi-supervised segmentation for coastal monitoring seagrass using RPA imagery

Brandon Lewis Hobley, Riccardo Arosio, Geoffrey French, Julie Bremner, Tony Dolphin, Michal Mackiewicz

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep learning; Computer vision; Remote sensing; Supervised learning; Semi-supervised learning; Segmentation; Seagrass mapping

Online: 31 March 2021 (15:53:19 CEST)

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Working Paper ARTICLE

Handling Incomplete Instance Annotations via Asymmetric Loss Function

Feng Chen, Michael Pound, Andrew French

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep Learning; Reducing Training Annotations per Image; Object Detection; Object Counting; Asymmetric Loss Function

Online: 15 January 2021 (15:44:51 CET)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202009.0678.v1

Satellite Image Multi-Frame Super-Resolution Using 3D Wide-Activation Neural Networks

Francisco Dorr

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: multi-frame super resolution; wide activation super resolution; 3D convolutional neural network; deep learning

Online: 27 September 2020 (11:54:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0265.v2

Mining Stack Overflow: a Recommender Systems-Based Model

Fouzi Harrag, Mokdad Khamliche

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Ecommender system; learning to rank; Mining software repositories; Text Mining; Deep learning; Stack Overflow

Online: 4 September 2020 (11:20:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0571.v1

Migration of Natural Hydrogen from Deep-seated Sources in the São Francisco Basin, Brazil

Frederic Victor Donze, Laurent Truche, Parisa Sheraki Namin, Nicolas Lefeuvre, Elena Bazarkina

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: native hydrogen; deep-seated source of natural hydrogen; H2 seepage; radiolysis; serpentinization; draining faults

Online: 24 July 2020 (05:23:26 CEST)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints201911.0073.v1

Beyond Traditional Covariates in Medical Informatics

Uri Kartoun

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: deep behavioral covariates; clinical informatics; predictive modeling; electronic medical records; machine-learning; data-mining

Online: 7 November 2019 (09:25:04 CET)

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Working Paper ARTICLE

Basal Ganglia Paths Support Acute vs. Automated Execution, Not Movement vs. Stopping

Ari Rappoport

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: basal ganglia; dopamine; subthalamic nucleus; Parkinson's disease; brain learning; cholinergic interneurons; deep brain stimulation

Online: 31 May 2019 (11:24:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0097.v1

Heterogeneous Deep Model Fusion for Automatic Modulation Classification

Duona Zhang, Wenrui Ding, Baochang Zhang, Chunyu Xie, Chunhui Liu, Jungong Han, Hongguang Li

Subject: Engineering, Electrical And Electronic Engineering Keywords: deep learning; automatic modulation classification; classifier fusion; convolutional neural network; long short-term memory

Online: 11 January 2018 (04:47:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints201712.0157.v1

A CNN-Based Fusion Method for Feature Extraction from Sentinel Data

Giuseppe Scarpa, Massimiliano Gargiulo, Antonio Mazza, Raffaele Gaetano

Subject: Engineering, Electrical And Electronic Engineering Keywords: Coregistration; pansharpening; multi-sensor fusion; multitemporal images; deep learning; normalized difference vegetation index (NDVI)

Online: 21 December 2017 (17:10:23 CET)

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Preprint REVIEW | doi:10.20944/preprints202311.0623.v1

Defending the Digital Frontier: IDPS and the Battle Against Cyber Threat

Hamza Azam, Mohammad Irfan Dulloo, Muhammad Hassan Majeed, Janelle Phang Hui Wan, Lee Tong Xin, Muhammed Ahnaf Tajwar, Siva Raja Sindiramutty

Subject: Computer Science And Mathematics, Computer Science Keywords: Intrusion Prevention System (IPS); Intrusion Detection System (IDS); Intrusion Detection and Presentation System (IDPS); Deep Packet Inspection (DPI); Network-Based Prevention System (NIPS)

Online: 9 November 2023 (10:59:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0041.v1

The 2-D Cluster Variation Method: Initial Findings and Topography Illustrations

Alianna J. Maren

Subject: Physical Sciences, Acoustics Keywords: cluster variation method; entropy; approximation methods; free energy; free energy minimization; artificial intelligence; neural networks; deep learning; statistical thermodynamics; brain networks; neural connectivity

Online: 4 January 2021 (13:16:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202204.0007.v2

An Approach to Detecting and Mapping Individual Fruit Trees Integrated YOLOv5 with UAV Remote Sensing

Yongzhu Xiong, Xiaofeng Zeng, Yankui Chen, Jiawen Liao, Weiqian Lai, Mingyong Zhu

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: individual fruit tree (IFT); individual pomelo tree (IPT) detection; deep learning; transfer learning; YOLOv5; remote sensing; unmanned aerial vehicle (UAV); spatial distribution

Online: 4 April 2022 (13:35:43 CEST)

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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 ARTICLE | doi:10.20944/preprints202307.0638.v1

Meal Timing and Melatonin-Containing Food Intake in Young People with Social Jetlag

Artem Polugrudov, Sergey Popov, Vasily Smirnov, Natalya Zueva, Mikhail F. Borisenkov

Subject: Biology And Life Sciences, Food Science And Technology Keywords: eating jetlag; eating window; dietary fibers; melatonin-containing foods; chronotype; social jetlag; sleep duration; light sleep phase; deep sleep phase; REM sleep phase

Online: 10 July 2023 (14:45:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0696.v1

Predict the Shopping Trip (Online and Offline) Using a Combination of a Gray Wolf Optimization Algorithm (GWO) and a Deep Convolutional Neural Network: A Case Study of Tehran, Iran

MohammadHanif Dasoomi, Ali Naderan, Tofigh Allahviranloo

Subject: Engineering, Transportation Science And Technology Keywords: online shopping trip; offline shopping trips; gray wolf optimization; deep neural network model; e-commerce and transportation; factors affecting shopping trip choice; sustainable development

Online: 12 September 2023 (02:50:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0356.v1

Predicting the Choice of Online or Offline Shopping Trips Using a Deep Neural Network Model and Time Series Data: A Case Study of Tehran, Iran

MohammadHanif Dasoomi, Ali Naderan, Tofigh Allahviranloo

Subject: Engineering, Transportation Science And Technology Keywords: online shopping trip; offline shopping trips; deep neural network model; e-commerce and transportation; factors affecting shopping trip choice; sustainable development

Online: 6 September 2023 (14:28:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1665.v1

Spatial Analysis of UAS-generated data to Evaluate Nitrogen Fertilizer Placement Alternatives, Predict and Map End-of Season Rice Yield

Ama Twumasi Duoduaa, Andrew Manu, Thomas J. Lawler, Vincent Kojo Avornyo, Raphael Adu-Gyamfi, Amisu Mohammed

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Unmanned Aerial Systems (UAS); Urea Deep Placement (UDP); Linear Regression; Plot Scale; Field Scale; Crop Health; NDVI; OSAVI; Jenks Natural Breaks Classification

Online: 26 October 2023 (04:58:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1111.v1

Predicting Machine Failures From Multivariate Time Series: An Industrial Case Study

Nicolò Oreste Pinciroli Vago, Francesca Forbicini, Piero Fraternali

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Failure prediction; Machine Learning; Deep Learning; Predictive Maintenance; Compressor; Blood refrigerator; Nitrogen generator; Wrapping machine

Online: 17 April 2024 (11:41:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1484.v1

Integrated Neuro-Symbolic Analysis Pipeline for Cerebral Aneurysm Rupture Diagnosis

Max Xiao

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Neuro-symbolic; Deep learning; Data fusion; 3D segmentation; Intracranial Aneurysms; MRA; Model Pipeline

Online: 25 March 2024 (12:50:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1634.v1

Enhancing Legal Sentiment Analysis: A CNN-LSTM Document-Level Model

Bolanle Abimbola, Enrique De La Cal Marin, Qing Tan

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Convolutional neural networks; deep neural networks; long short-term memory; sentimental analysis; recurrent neural networks

Online: 28 February 2024 (13:48:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0821.v1

Data Augmentation with Generative Adversarial Network for Solar Panel Segmentation from Remote Sensing Images

Justinas Lekavičius, Valentas Gružauskas

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: deep learning; solar panels; semantic segmentation; data augmentation; generative adversarial network; remote sensing; transfer learning

Online: 14 February 2024 (16:32:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.0329.v1

Marine Cultural Target Detection for Underwater Robotics Based on Deep Aggregation Network with Deformation Convolution

Yutuo Yang, Wei Liang, Daoxian Zhou, Yinlong Zhang, Gaofei Xu

Subject: Computer Science And Mathematics, Robotics Keywords: autonomous underwater vehicle (AUV); underwater target detection; deformable convolution; multi-scale deep aggregation; attention mechanism

Online: 6 October 2023 (11:51:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202309.1715.v1

Percutaneous Deep Venous Arterialization for Limb Salvage of No Option Patients with Chronic Limb-Threatening Ischemia

Stavros Spiliopoulos, Efstathia Davoutis, Nikolaos-Achilleas Arkoudis, Kaji Sritharan, Symeon Lechareas

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: chronic limb-threatening ischemia; peripheral arterial disease; endovascular treatment; tibial vessels; percutaneous deep venous arterialization

Online: 26 September 2023 (04:44:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1392.v1

Developing an Advanced Software Requirements Classification Model Using BERT: an Empirical Evaluation Study on Newly Generated Turkish Data

Fatih Yucalar

Subject: Computer Science And Mathematics, Computer Science Keywords: software requirements classification; transformer learning; deep neural networks; machine learning; functional requirements non-functional requirements.

Online: 20 September 2023 (10:46:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1174.v1

ENN: Hierarchical Image Classification Ensemble Neural Network for Large-Scale Automated Detection of Potential Design Infringement

Chan Jae Lee, Seong Ho Jeong, Young Yoon

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Design Right Infringement; Deep Learning; Ensemble Learning; Image Classification; Object Detection; Large-Scale Detection System

Online: 19 September 2023 (03:03:46 CEST)

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This paper presents a two-stage hierarchical neural network using image classification and object detection algorithms as key building blocks for a system that automatically detects a potential design right infringement. This neural network is trained to return the Top-N original design right records that highly resemble the input image of a counterfeit. Design rights specify the unique aesthetic characteristics of a product. Due to the rapid change of trends, new design rights are continuously generated. This work proposes an Ensemble Neural Network (ENN), an artificial neural network model that aims to deal with a large amount of counterfeit data and design right records that are frequently added and deleted. At first, we performed image classification and objection detection learning per design right using the existing models with a proven track record of high accuracy. The distributed models form the backbone of the ENN and yield intermediate results aggregated at a master neural network. This master neural network is a deep residual network paired with a fully connected network. This ensemble layer is trained to determine the sub-models that return the best result for a given input image of a product. In the final stage, the ENN model multiples the inferred similarity coefficients to the weighted input vectors produced by the individual sub-models to assess the similarity between the test input image and the existing product design rights to see any sign of violation. Given 84 design rights and the sample product images taken meticulously under various conditions, our ENN model achieved average Top-1 and Top-3 accuracies of 98.409% and 99.460%, respectively. Upon introducing new design rights data, a partial update of the inference model was done an order of magnitude faster than the single model. ENN maintained a high level of accuracy as it scaled out to handle more design rights. Therefore, the ENN model is expected to offer practical help to the inspectors in the field, such as the customs at the border that deal with a swarm of products.

Preprint ARTICLE | doi:10.20944/preprints202309.0085.v1

The Promise of Semantic Segmentation in Detecting Actinic Keratosis Using Clinical Photography in the Wild

Panagiotis Derekas, Panagiota Spyridonos, Aristidis Likas, Athanasia Zampeta, George Gaitanis, Ioannis Bassukas

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: deep learning; semantic segmentation; U‐Net; actinic keratosis; cutaneous cancerization field; skin lesions; clinical photography

Online: 4 September 2023 (04:23:19 CEST)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202307.0705.v1

Technical Note: Using Computer Vision’s Pixel Segmentation to Detect Beef Cattle Feeding Behavior

Yalong Pi, Egleu Mendes, Luis Tedeschi, Jian Tao, Siddhanth Reddy, Nick Duffield

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: Computer Vision; Pixel Segmentation; Deep Learning; Convolutional Neural Network; Precision Livestock Farming; Feeding Behavior Analysis

Online: 11 July 2023 (11:52:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0830.v1

Wireless Device with Energy Management for Closed-Loop Deep Brain Stimulation (CLDBS)

Tiago Matheus Nordi, Gabriel Augusto Ginja, Rodrigo Gounella, Erich Talanoni Fonoff, Eduardo Colombari, Melkzedekue M. Alcântara Moreira, Jose A. Afonso, Vitor Monteiro, Joao L. Afonso, João Paulo Carmo

Subject: Engineering, Electrical And Electronic Engineering Keywords: closed-loop deep brain stimulation (CLDBS); neurostimulatio; implantable devices; internet of things (IoT); energy management

Online: 12 June 2023 (11:11:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2180.v1

Deep Camera-Radar Fusion with Attention Framework for Autonomous Vehicle Vision in Foggy Weather Conditions

Isaac Oluwadunsin Ogunrinde, Shonda Bernadin

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Sensor fusion; object detection; deep learning; autonomous vehicles; camera-radar; adverse weather; fog; attention module

Online: 31 May 2023 (07:25:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0007.v1

An Advanced Approach on Enhancing Accommodation Maintenance Via Text-Based Customer Review Analysis

Tharindu Wickramasinghe, Pumudu Fernando

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine Learning; Classification; Natural Language Processing; Text-based Customer Review Analysis; Sentiment Analysis; Deep Learning

Online: 1 May 2023 (03:21:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202304.1035.v1

A Review on Deriving Maintenance of Accommodations Via Text-based Feedback Analysis

Tharindu Wickramasinghe, Pumudu Fernando

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine Learning; Classification; Natural Language Processing; Text-based Customer Review Analysis; Sentiment Analysis; Deep Learning

Online: 27 April 2023 (04:30:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0645.v1

Automated Word-level Lip Reading using Convolutional Neural Networks with New Turkish Dataset

Nergis Pervan-Akman, Ali Berkol, Hamit Erdem

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Lip Reading; Multiclass Classification; Turkish Lip Reading Dataset; Deep Learning; Convolutional Neural Networks; Lip Detection

Online: 20 April 2023 (10:07:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0050.v1

A Concise Overview of the Vision-based Human Action Recognition Field

Fernando Camarena, Miguel Gonzalez-Mendoza, Leonardo Chang, Ricardo J Cuevas-Ascencio

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: video-based human action recognition; Action Recognition; Deep Learning Methods; handcrafted Methods; Human Action; Overview

Online: 3 February 2023 (01:17:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202206.0230.v1

How the First Year of the COVID-19 Pandemic Impacted Patients’ Care in the Vascular Surgery Divisions of the Southern Regions of the Italian Peninsula

Eugenio Martelli, Giovanni Sotgiu, Laura Saderi, Massimo Federici, Giuseppe Sangiorgi, Matilde Zamboni, Allegra Rosa Martelli, Giancarlo Accarino, Giuseppe Bianco, Francesco Bonanno, Umberto Marcello Bracale, Enrico Cappello, Giovanni Cioffi, Giovanni Colacchio, Adolfo Crinisio, Salvatore De Vivo, Carlo Patrizio Dionisi, Loris Flora, Giovanni Impedovo, Francesco Intrieri, Luca Iorio, Gabriele Maritati, Piero Modugno, Mario Monaco, Giuseppe Natalicchio, Vincenzo Palazzo, Fernando Petrosino, Francesco Pompeo, Raffaele Pulli, Davide Razzano, Maurizio Ruggero Ruggieri, Carlo Ruotolo, Paolo Sangiuolo, Gennaro Vigliotti, Pietro Volpe, Antonella Biello, Pietro Boggia, Michelangelo Boschetti, Enrico Maria Centritto, Flavia Condò, Lucia Cucciolillo, Amodio Salvatore D'Amodio, Mario De Laurentis, Claudio Desantis, Daniela Di Lella, Giovanni Di Nardo, Angelo Disabato, Ilaria Ficarelli, Angelo Gasparre, Antonio Nicola Giordano, Alessandro Luongo, Mafalda Massara, Vincenzo Molinari, Andrea Padricelli, Marco Panagrosso, Anna Petrone, Serena Pisanello, Roberto Prunella, Michele Tedesco, Alberto Maria Settembrini

Subject: Medicine And Pharmacology, Hematology Keywords: COVID-19; carotid stenosis; abdominal aortic aneurysm; chronic limb-threatening ischemia; amputation; deep venous thrombosis

Online: 16 June 2022 (04:40:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0279.v1

Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments

Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: object detection; challenging environments; low-light; image enhancement; complex environments; deep neural networks; computer vision

Online: 28 April 2022 (09:42:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0237.v1

Deep Cross-Project Software Reliability Growth Model using Project Similarity Based Clustering

Kyawt Kyawt San, Hironori Washizaki, Yoshiaki Fukazawa, Kiyoshi Honda, Masahiro Taga, Akira Matsuzaki

Subject: Computer Science And Mathematics, Information Systems Keywords: Software reliability; deep learning; long short-term memory; project similarity and clustering; cross-project prediction

Online: 18 October 2021 (10:33:39 CEST)

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Working Paper ARTICLE

Sensor-fusion for Smartphone Location Tracking using Hybrid Multimodal Deep Neural Networks

Xijia Wei, Zhiqiang Wei, Valentin Radu

Subject: Computer Science And Mathematics, Computer Science Keywords: Indoor Localization; Sensor Fusion; Multimodal Deep Neural Network; Multimodal Sensing; WiFi Fingerprinting; Pedestrian Dead Reckoning

Online: 13 October 2021 (12:14:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202011.0039.v1

Generative Model for Skeletal Human Movements based on conditional DC-GAN applied to pseudo-images

Wang Xi, Guillaume Devineau, Fabien Moutarde, Jie Yang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: generative model; human movement; conditional Deep Convolutional Generative Adversarial Network; GAN; spatio-temporal pseudo-image

Online: 2 November 2020 (12:55:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints201809.0481.v1

Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals

Zied Tayeb, Juri Fedjaev, Nejla Ghaboosi, Christoph Richter, Lukas Everding, Xingwei Qu, Yingyu Wu, Gordon Cheng, Jörg Conradt

Subject: Computer Science And Mathematics, Computer Science Keywords: Brain-Computer Interfaces, spectrogram-based convolutional neural network model(pCNN), Deep Learning, EEG, LSTM, RCNN

Online: 25 September 2018 (08:58:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1445.v1

Linguistic Communication Channels Reveal Connections Between Texts: The New Testament and Greek Literature

Emilio Matricciani

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Apocalypse; Deep‒language; Greek New Testament; Greek Classical Literature; Epistle to the Hebres; Interpunctions; Likeness index; Linguistic channels; Sentences; Signal‒to‒noise ratio; Vectors;

Online: 20 June 2023 (13:59:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0359.v1

Evaluating the Time-Dependent Behavior of Deeply Buried Tunnels in Soft Rock environments and Relevant Measures Guaranteeing their Long-Term Stability

Wadslin Frenelus, Hui Peng

Subject: Engineering, Civil Engineering Keywords: deeply buried tunnels; deep soft rocks; elasto-visco-plastic creep constitutive model; closed-form solutions; long-term stability; structural integrity; long-term monitoring

Online: 6 September 2023 (03:40:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202407.0266.v1

The Role and Applications of Artificial Intelligence in Dental Implant Planning

Monica Macrì, Vincenzo D’Albis, Giuseppe D’Albis, Marta Forte, Saverio Capodiferro, Gianfranco Favia, Abdulrahman Omar Alrashadah, Victor Diaz- Flores García, Felice Festa

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: artificial intelligence in implantology; AI in dental implantology; machine learning in dental implantology; deep learning in implant dentistry; robotics in dental implantology; ai-based implant planning

Online: 2 July 2024 (16:08:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1299.v1

Advancements in Quantum Computing and AI May Impact PQC Migration Timelines

Dr. Robert Campbell, Dr. Whitfield Diffie, Charles Robinson

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Post-quantum cryptography (PQC), PQC transition timelines, hybrid quantum-classical computing, artificial intelligence, machine learning, deep learning, Grover's Adaptive Search (GAS), Harrow-Hassidim-Lloyd (HHL) Algorithm

Online: 22 February 2024 (11:54:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0059.v1

CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution

Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: table detection; table recognition; cascade Mask R-CNN; atrous convolution; recursive feature pyramid networks; document image analysis; deep neural networks; computer vision, object detection.

Online: 3 September 2021 (11:05:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2352.v2

Meta-Connectivity in Urban Morphology: A Deep Generative Approach for Integrating Human-Wildlife Landscape Connectivity in Urban Design

Sheng-Yang Huang, Yuankai Wang, Enriqueta Llabres-Valls, Mochen Jiang, Fei Chen

Subject: Arts And Humanities, Architecture Keywords: urban design; deep generative models; cross-domain translation; landscape connectivity; progressive reasoning; urban ecology

Online: 22 August 2024 (09:13:18 CEST)

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Preprint REVIEW | doi:10.20944/preprints202404.1084.v1

Plant Synthetic Promoters

Piotr Szymczyk, Małgorzata Majewska

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: plant synthetic promoter; enhancer; cis-element; trans-factor; orthogonal systems; bidirectional promoters; machine learning; deep learning

Online: 17 April 2024 (07:26:01 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202403.1073.v1

Improved Brain Function with Deep Spectrum Biotherapeutics

Iain Strickland, David S Oakley, Anna Parievsky

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Electroencephalogram (EEG); Event Related Potential (ERP); Advanced &; Deep Biotherapeutics; Photobiomodulation (PBM); Mild Cognitive Impairment (MCI)

Online: 19 March 2024 (05:13:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1817.v1

Hybrid Neural Networks for Enhanced Prediction of Remaining Useful Life in Lithium-Ion Batteries

Alireza Rastegarparnah, Mohammed Eesa Asif, Rustam Stolkin

Subject: Engineering, Other Keywords: Deep Learning; Remaining Useful Life; Lithium-Ion Batteries; Battery Management Systems; Recycling and Reuse; Battery Degradation

Online: 25 January 2024 (10:40:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1299.v1

A Deep Sequencing Strategy for Investigation of Virus Variants Within African Swine Fever Virus-infected Pigs

Camille Melissa Johnston, Ann Sofie Olesen, Louise Lohse, Agnete le Maire Madsen, Anette Bøtner, Graham J. Belsham, Thomas Bruun Rasmussen

Subject: Biology And Life Sciences, Virology Keywords: African swine fever virus (ASFV); next-generation sequencing (NGS); deep sequencing; Nanopore sequencing; minority variant analysis

Online: 18 December 2023 (09:08:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1888.v1

SkinLesNet: Classification of Skin Lesions Using a Multi-Layer Deep Convolutional Neural Network in Dermoscopy Images

Muhammad Azeem, Kaveh Kiani, Taha Mansouri

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: deep learning; convolutional neural networks; image analysis; machine learning; ResNetV50; skin lesions; VGG16; cancer; computer vision

Online: 29 November 2023 (11:33:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1519.v1

Continuous Super-Resolution of Climate Data Using Time-aware Implicit Neural Representation

Yang Wang, Hassan A. Karimi, Xiaowei Jia

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Deep Learning; Implicit Neural Representation; Sea Surface Temperature; Super Resolution; Satellite Retrieval Climate Data; Temporal Information

Online: 24 October 2023 (13:26:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0467.v1

Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Senor Fusion Approach

Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Anomaly detection; autoencoder; long short-term memory; deep learning; discrete wavelet transform, feature extraction, outlier detection.)

Online: 9 October 2023 (07:34:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.2105.v1

Precision in Dermatology: Developing an Optimal Feature Selection Framework for Skin Lesion Classification

Tallha Akram, Riaz Junejo, Anas Alsuhaibani, Muhammad Rafiullah, Adeel Akram, Nouf Abdullah Almujally

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: convolutional neural networks; feature selection; transfer learning; feature fusion; gray wolf optimization; deep learning; skin lesion

Online: 31 August 2023 (10:24:52 CEST)

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Preprint REVIEW | doi:10.20944/preprints202305.1637.v2

Computational Advancements in Cancer Combination Therapy Prediction

Victoria L. Flanary, Jennifer L. Fisher, Elizabeth J. Wilk, Timothy C. Howton, Brittany N. Lasseigne

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: computational; drug repurposing; drug repositioning; cancer; combination therapy; network biology; machine learning; deep learning; precision oncology

Online: 20 July 2023 (05:02:16 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.1124.v1

Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging

Reabal Najjar

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Medical imaging; radiology; artificial intelligence; machine learning; deep learning; convolutional neural networks; computer-aided diagnosis; radiomics.

Online: 16 June 2023 (03:22:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0156.v1

Three-Dimensional Cranio-Facial Landmark Detection in Series of CT Slices, Using Multi-Phased Regression Networks

Soh Nishimoto, Takuya Saito, Hisako Ishise, Toshihiro Fujiwara, Kenichiro Kawai, Masao Kakibuchi

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: Multi-phased deep learning; Regression neural network; Coordinate value; Computer assisted tomography (CT); Cranio-facial bone

Online: 10 April 2023 (07:59:58 CEST)

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Preprint REVIEW | doi:10.20944/preprints202303.0116.v1

Explainable Artificial Intelligence (XAI) in Healthcare

Tim Hulsen

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: XAI; AI; artificial intelligence; explainable; explainability; machine learning; deep learning; data science; big data; healthcare; medicine

Online: 7 March 2023 (01:43:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0299.v1

Using Ensemble Convolutional Neural Network to Detect Deepfakes Using Periocular Data

David Johnson, Xiaohonh Yuan, Kaushik Roy

Subject: Computer Science And Mathematics, Computer Science Keywords: deepfake detection; CNN; deep neural network; computer vision; scale invariant feature transform; histogram of oriented gradients

Online: 17 February 2023 (06:51:37 CET)

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Preprint DATA DESCRIPTOR | doi:10.20944/preprints202301.0473.v1

Prognosease: A Data Generator for Health Deterioration Prognosis

Tarek BERGHOUT, Mohamed Benbouzid

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Data generator; dataset; deep learning; health index; machine learning; prognosis and health management; remaining useful life

Online: 26 January 2023 (08:37:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202210.0477.v1

FlowerPhenoNet: Automated Flower Detection from Multi-view Image Sequences using Deep Neural Networks for Temporal Plant Phenotyping Analysis

Sruti Das Choudhury, Samarpan Guha, Aankit Das, Amit Kumar Das, Ashok Samal, Tala Awada

Subject: Computer Science And Mathematics, Analysis Keywords: High Throughput Plant Phenotyping; Deep Neural Network; Flower Detection; Temporal Phenotypes; Benchmark Dataset; Flower Status Report

Online: 31 October 2022 (10:00:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202208.0197.v1

An Ontological Knowledge Base of Poisoning Attacks on Deep Neural Networks

Majed Altoub, Fahad AlQurashi, Tan Yigitcanlar, Juan Corchado, Rashid Mehmood

Subject: Computer Science And Mathematics, Computer Science Keywords: Deep neural networks; Adversarial Attacks; Poisoning; Backdoors; Trojans; Taxonomy; Ontology; Knowledge Base; Explainable AI; Green AI

Online: 10 August 2022 (09:39:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0163.v1

Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism

Matthias A Fink, Constantin Seibold, Hans-Ulrich Kauczor, Rainer Stiefelhagen, Jens Kleesiek

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: artificial intelligence; deep learning; image-to-image translation; dual-energy computed tomography; pulmonary embolism; emergency radiology

Online: 18 April 2022 (09:45:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202106.0609.v1

Treatment-Free Remission in Chronic Myeloid Leukaemia: Can We Identify Prognostic Factors?

Hilbeen Hisham Saifullah, Claire Marie Lucas

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Chronic myeloid leukaemia; chronic phase; Tyrosine kinase inhibitor; Treatment free remission; deep molecular response; BCR-ABL.

Online: 25 June 2021 (08:13:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0053.v1

Sentiment Analysis Techniques Applied to Raw-Text Data from a CSQ-8 Questionnaire About Mindfulness in Times of Covid-19 to Improve Strategy Generation

Mario Jojoa, Gema Castillo-Sánchez, Begonya Garcia-Zapirain, Isabel De la Torre Diez, Manuel Franco-Martín

Subject: Engineering, Automotive Engineering Keywords: Mindfulness; stress; COVID-1; CSQ-8; Natural Language Processing; Deep Learning; Embedding; IMDB; Swivel; Neural Networks.

Online: 2 June 2021 (08:40:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0605.v1

COVID-19 Diagnosis from chest CT Scans: A Weakly Supervised CNN-LSTM Approach

Mustafa Kara, Zeynep Öztürk, Sergin Akpek, Ayşegül Turupcu

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: deep learning; computed tomography; image classification; COVID-19; medical image analysis; pneumonia; CNN, LSTM, medical diagnosis

Online: 25 May 2021 (10:32:29 CEST)

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Working Paper ARTICLE

Hydrodynamic Forces Exerted on an Oscillating Cylinder at Its Translational Motion in Water Covered by a Compressed Ice

Yury Stepanyants, Izolda Sturova

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Ideal fluid; deep water; ice cover; moving cylinder; hydrodynamic load; added mass; wave resistance; damping coefficient

Online: 21 January 2021 (15:21:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints201905.0244.v1

Ensemble of Deep Convolutional Neural Networks for Classification of Early Barrett's Neoplasia Using Volumetric Laser Endomicroscopy

Roger Fonollà, Thom Scheeve, Maarten R. Struyvenberg, Wouter L. Curvers, Albert J. de Groof, Fons van der Sommen, Erik J. Schoon, Jacques J.G.H.M. Bergman, Peter H.N. de With

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Barrett's esophagus; deep learning; volumetric laser endomicroscopy; optical coherence tomography; classification; esophageal adenocarcinoma; glands; machine learning

Online: 20 May 2019 (11:50:09 CEST)

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Preprint REVIEW | doi:10.20944/preprints201805.0011.v1

Changing Trends in Computational Drug Repositioning

Jaswanth K. Yella, Suryanarayana Yaddanapudi, Yunguan Wang, Anil G. Jegga

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: computational drug repositioning; drug repositioning; drug repurposing; machine learning; deep learning; crowdsourcing; open innovation; drug discovery

Online: 1 May 2018 (12:27:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0634.v1

Recognition and Repetition Counting for LME Exercises in Exercise-Based CVD Rehabilitation: A Comparative Study Using Artificial Intelligence Models

Ghanashyama Prabhu, Noel E. O'Connor, Kieran Moran

Subject: Engineering, Electrical And Electronic Engineering Keywords: CVD rehabilitation; Local muscular endurance exercises; Exercise-based rehabilitation; Deep Learning; AlexNet; CNN; SVM; kNN; RF; MLP; PCA; multi-class classification; INSIGHT-LME dataset

Online: 26 July 2020 (15:21:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1042.v1

Lung and Colon Cancer Detection Using Deep AI Model

Nazmul Shahadat, Ritika Lama, Anna Nguyen

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: 1D CNN; Squeeze-and-Excitation networks; RCN; lightweight model; lung and colon cancer detection; lung cancer detection; colon cancer detection; cancer detection; histopathological images; image classification; deep learning

Online: 13 September 2024 (11:07:43 CEST)

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Preprint REVIEW | doi:10.20944/preprints202001.0042.v1

White Matter Hyperintensity and Vascular Disease from Biological Basis to Clinical Significance

Paolo Garofalo, Harman S. Suri, Michele Porcu, Jasjit S. Suri, Luca Saba

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: computed tomography (CT); magnetic resonance imaging (MRI); leukoaraiosis (LA); white matter hyperintensities (WMH); small vessels disease (SVD); periventricular white matter hyperintensities (PWMH); deep white matter hyperintensities (DWMH)

Online: 5 January 2020 (16:11:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1411.v1

IMU-Based Fitness Activity Recognition Using CNNs for Time Series Classification

Philipp Niklas Müller, Alexander Josef Müller, Philipp Achenbach, Stefan Peter Göbel

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: activity recognition; inertial measurement unit; deep learning; convolutional neural network; residual neural network; traditional machine learning; study

Online: 22 November 2023 (14:51:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1254.v1

Deep-penetrating Geochemical Prospecting Experiment of Mahuagou Gold Deposit in the Core of Huangling Anticline, Western Hubei

Weihang Zhou, Li Lei, Yin Gong, Demin Liu, Shuyun Xie, Zhijun Chen, Qinglin Xia, Mengqi Wang, Salah Fadlallah Awadelseid, Oraphan Yaisamut

Subject: Environmental And Earth Sciences, Geochemistry And Petrology Keywords: overburden prospecting; deep-penetrating geochemical indicator; chemical form analysis of gold; heat-released mercury survey; Huangling Anticline

Online: 19 October 2023 (09:34:41 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.1468.v1

Diagnostic Imaging in Infectious Keratitis: A Review

Maria Cabrera-Aguas, Stephanie L Watson

Subject: Medicine And Pharmacology, Ophthalmology Keywords: infectious keratitis; corneal imaging; in vivo confocal microscopy; optical coherence tomography; artificial intelligence; deep learning; microbial keratitis

Online: 21 August 2023 (11:43:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0596.v2

Feasibility of Proton Dosimetry Overriding Planning CT with Daily CBCT Elaborated through Generative Artificial Intelligence Tools

Matteo Rossi, Gabriele Belotti, Luca Mainardi, Guido Baroni, Pietro Cerveri

Subject: Engineering, Bioengineering Keywords: Deep Learning; image-to-image translation; dosimetry; cycleGAN; CBCT; CT; limited FOV; artifact correction; Hounsfield unit recovery

Online: 5 June 2023 (09:53:36 CEST)

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Radiotherapy commonly utilizes CBCT for patient positioning and treatment monitoring. CBCT is deemed to be secure for patients, making it suitable for the delivery of fractional doses. However, limitations such as a narrow field of view, beam hardening, scattered radiation artifacts, and variability in pixel intensity hinder the direct use of raw CBCT for dose recalculation during treatment. To address this issue, reliable correction techniques are necessary to remove artifacts and remap pixel intensity into HU values. This study proposes a deep-learning framework for calibrating CBCT images acquired with narrow FOV systems and demonstrates its potential use in proton treatment planning updates. Cycle-consistent GAN processes raw CBCT to reduce scatter and remap HU. Monte Carlo simulation is used to generate CBCT scans, enabling the possibility to focus solely on the algorithm’s ability to reduce artifacts and cupping effects without considering intra-patient longitudinal variability and producing a fair comparison between planning CT and calibrated CBCT dosimetry. To showcase the viability of the approach using real-world data, experiments were also conducted using real CBCT. Tests were performed on a publicly available dataset of 40 patients who received ablative radiation therapy for pancreatic cancer. The simulated CBCT calibration led to a difference in proton dosimetry of less than 2%, compared to the planning CT. The potential toxicity effect on the organs at risk decreased from about 50% (uncalibrated) up the 2% (calibrated). The gamma pass rate at 3%/2mm produced an improvement of about 37% in replicating the prescribed dose before and after calibration (53.78% vs 90.26%). Real data also confirmed this with slightly inferior performances for the same criteria (65.36% vs 87.20%). These results may confirm that generative artificial intelligence brings the use of narrow FOV CBCT scans incrementally closer to clinical translation in proton therapy planning updates.

Preprint ARTICLE | doi:10.20944/preprints202305.0282.v1

A Novel Methodology for Classifying Electrical Disturbances Using Deep Neural Networks

Alma Guerrero-Sánchez, Edgar Alejandro Rivas-Araiza, Mariano Garduño-Aparicio, Saúl Tovar-Arriaga, Juvenal Rodriguez-Resendiz, Manuel Toledano-Ayala

Subject: Engineering, Electrical And Electronic Engineering Keywords: Artificial intelligence; Neural Networks; Deep learning; Multitasking learning; Solar photovoltaic; Smart grids; Multiple Electrical Disturbances; Power quality

Online: 5 May 2023 (03:12:18 CEST)

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Preprint REVIEW | doi:10.20944/preprints202303.0497.v1

Cyber-attacks in Cyber Physical Microgrid Systems : A comprehensive Review

Sriranga Suprabhath Koduru, Venkata siva Prasad Machina, Sreedhar Madichetty

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Cyber physical systems 1; Cyber attacks 2; Artificial Intelligence 3; Machine learning 4; 8 Deep learning 5

Online: 29 March 2023 (02:48:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202301.0533.v1

Improving Deep Echo State Network with Neuronal Similarity-based Iterative Pruning Merging Algorithm

Qingyu Shen, Hanwen Zhang, Yao Mao

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: reservoir computing; deep echo state network; neuronal similarity-based iterative pruning merging algorithm; chaotic time series forecast

Online: 30 January 2023 (02:34:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0162.v1

MR-Class: A Python Tool for Brain Mr Image Classification Utilizing One-Vs-All DCNNS to Deal With the Open-Set Recognition Problem

Patrick Salome, Francesco Sforazzini, Gianluca Grugnara, Andreas Kudak, Matthias Dostal, Christel Herold-Mende, Sabine Heiland, Jürgen Debus, Amir Abdollahi, Maximilian Knoll

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Content-based image classification; Data curation and preparation; Convolutional neural networks (CNN); Deep learning; Artificial intelligence (AI)

Online: 9 January 2023 (10:59:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0205.v1

A Novel Algorithm for Histopathological Lung Cancer Detection

Nelson Filipe Miranda Faria, Sofia Campelos, Vítor Carvalho

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: lung cancer; digital pathology; whole slide imaging; artificial intelligence; deep learning; convolutional neural networks; computer-aided diagnosis

Online: 10 November 2022 (15:06:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0090.v1

DeHyFoNet: Deformable Hybrid Network for Formula Detection in Scanned Document Images

Muhammad Zeshan Afzal, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: formula detection; Hybrid Task Cascade network; mathematical expression detection; document image analysis; deep neural networks; computer vision

Online: 6 January 2022 (12:56:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202110.0089.v1

Towards Robust Object detection in Floor Plan Images: A Data Augmentation Approach

Shashank Mishra, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Object Detection; Cascade Mask R-CNN; Floor Plan Images; Deep Learning; Transfer Learning; Dataset Augmentation; Computer Vision

Online: 5 October 2021 (15:09:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0165.v1

Cascade Network with Deformable Composite Backbone for Formula Detection in Scanned Document Images

Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Formula detection; Cascade Mask R-CNN; Mathematical expression detection; document image analysis; deep neural networks; computer vision.

Online: 6 July 2021 (17:42:24 CEST)

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Working Paper ARTICLE

Automatic Detection of Pneumonia in Chest X-Rays using Lobe Deep Residual Network

Daniel Kvak, Karolína Kvaková

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: automatic detection; chest X-ray; convolutional neural network; COVID-19; deep learning; feature extraction; image classification; pneumonia

Online: 27 April 2021 (14:08:53 CEST)

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Preprint REVIEW | doi:10.20944/preprints202011.0152.v1

Review of Neural Networks in the EEG Signal Recognition

Ildar Rakhmatulin

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: EEG signal recognition; machine learning in EEG; neural networks in EEG; dry electrode EEG; deep learning EEG

Online: 3 November 2020 (14:07:29 CET)

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Preprint REVIEW | doi:10.20944/preprints202007.0466.v1

Computational Methods for Predicting Functions at The mRNA Isoform Level

Sambit Kumar Mishra, Viraj Muthye, Gaurav Kandoi

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Alternative Splicing; RNA-Seq; Machine Learning; Deep Learning; Recommender Systems; Multiple Instance Learning; mRNA Isoforms; Gene Ontology

Online: 20 July 2020 (10:53:23 CEST)

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Working Paper ARTICLE

Smart Home IoT System by Using RF Energy Harvesting

Nermeen A. Eltresy, Osama M. Dardeer, Awab Al-Habal, Esraa Elhariri, Abdelrhman M. Abotaleb, Dalia N. Elsheakh, Ahmed Khattab, Shereen A. Taie, Hassan Mostafa, Hala A. Elsadek, Esmat A. Abdallah

Subject: Engineering, Electrical And Electronic Engineering Keywords: antenna array; ambience monitoring; deep learning; internet of things (IoT); RF energy harvesting; rectenna; time series prediction

Online: 14 July 2020 (03:21:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202001.0220.v1

Coronary Artery Disease Diagnosis: Ranking the Significant Features Using Random Trees Model

Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad Ghasemigol, Seyyed Mohammad Razavi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, Laszlo Nadai

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: heart disease; coronary artery disease; machine learning; deep learning; predictive features; coronary artery disease diagnosis; health informatics

Online: 20 January 2020 (09:11:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints201607.0085.v1

Garments Texture Design Class Identification Using Deep Convolutional Neural Network

S.M. Sofiqul Islam, Emon Kumar Dey, Md. Nurul Ahad Tawhid, B. M. Mainul Hossain

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: CNN; Deep Learning; AlexNet; VGGNet; Texture Descriptor; Garment Categories; 13 Garment Trend Identification; Design Classification for Garments.

Online: 27 July 2016 (15:39:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0058.v1

Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications

Muhammad Adnan, Giulia Slavic, David Martín Gómez, Lucio Marcenaro, Carlo Regazzoni

Subject: Engineering, Control And Systems Engineering Keywords: Autonomous Vehicles (AVs); LiDAR (Light Detection and Ranging); Point Clouds; Clustering Algorithms; Multi-Target Tracking (MTT); Object Detection; Sensor Fusion; Deep Learning; 3D Point Cloud Segmentation

Online: 2 May 2023 (05:04:57 CEST)

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Preprint REVIEW | doi:10.20944/preprints202307.1826.v1

3D-printed Architectural Structures Created Using Artificial Intelligences: A Review of Techniques and Applications

Milijana Živković, Maša Žujović, Jelena Milošević

Subject: Engineering, Architecture, Building And Construction Keywords: architectural design; digital design; digital fabrication; additive manufacturing (AM); 3D printing (3DP); artificial intelligence (AI); machine learning (ML); deep learning (DL); artificial neural networks (ANN); computer vision

Online: 27 July 2023 (09:07:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0066.v1

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Raniah Alsahafi, Ahmed Alzahrani, Rashid Mehmood

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Smart Tourism; Sustainable Tourism; Natural language Processing (NLP); Big Data Analytics; Deep Learning; Machine Learning; Unsupervised Learning; Bidirectional Encoder Representations from Transformers (BERT); Literature Review; Smart Societies

Online: 3 February 2023 (09:47:55 CET)

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The Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to dis-cover holistic, multi-perspective (e.g., local, cultural, national, and international) and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media & Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months starting March 2021 to August 2022 to showcase public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. Discovering system parameters are re-quired to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The proposed approach improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles.

Preprint REVIEW | doi:10.20944/preprints202406.1366.v2

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once Series

Ranjan Sapkota, Rizwan Qureshi, Marco Flores-Calero, Chetan Badgujar, Upesh Nepal, Alwin Poulose, Peter Zeno, Uday Bhanu Prakash Vaddevolu, Hong Yan, Manoj Karkee

Subject: Computer Science And Mathematics, Computer Science Keywords: You Only Look Once; YOLO; YOLOv10 to YOLOv1; CNN; Deep learning; Object detection; Artificial intelligence; Computer vision; Healthcare; Autonomous Vehicles; Industrial manufacturing; Surveillance; Agriculture; YOLOv10; YOLOv9; YOLOv8

Online: 24 June 2024 (08:50:30 CEST)

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