ARTICLE
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doi:10.20944/preprints202402.1117.v1
Subject:
Chemistry And Materials Science,
Nanotechnology
Keywords:
low-dimensional nanocarbons; nano-informatics; data-driven nanocarbon genome approach; multifactorial predictive models; universal descriptors; growth-property relationships; data-driven neural pathways; nano-interfaces; collective atomic vibrations; phonon engineering; data-driven inverse design, cyber– physical systems
Online: 20 February 2024 (08:04:03 CET)
REVIEW
|
doi:10.20944/preprints202105.0254.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
deep learning; deep neural networks; recurrent LSTM models; attention layers; latent variable extraction; domain adaptation; yield and growth prediction in greenhouses; energy optimization in retail refrigerator systems; verification and recognition of expiry date in retail food packaging.
Online: 11 May 2021 (15:46:14 CEST)
ARTICLE
|
doi:10.20944/preprints202401.1406.v1
Subject:
Biology And Life Sciences,
Parasitology
Keywords:
Leishmania infectivity in mammalian hosts; inserts of leishmaniases and coinfections in companion animals; clinical and histopathologic features of natural zoonotic canine leishmaniasis; cell communication by parasite-derived extracellular vesicles; in vitro models advance to target parasite-secreted lipid bound vesicles
Online: 19 January 2024 (03:14:14 CET)
ARTICLE
|
doi:10.20944/preprints202303.0155.v1
Subject:
Physical Sciences,
Particle And Field Physics
Keywords:
Winterberg model; Planck particles; positive and negative mass Planck particles; planckions; quantum vacuum; space as a superfluid/ supersolid; extended models for space; cosmological constant; Higgs field as a composite particle; Higgs boson; inherent length scale for the vacuum; dark energy
Online: 8 March 2023 (10:17:32 CET)
REVIEW
|
doi:10.20944/preprints201905.0175.v1
Subject:
Engineering,
Electrical And Electronic Engineering
Keywords:
demand prediction, energy systems; machine learning; artificial neural network (ANN); support vector machines (SVM); neuro-fuzzy; ANFIS; wavelet neural network (WNN); big data; decision tree (DT); ensemble learning; hybrid models; data science; deep learning; renewable energies; energy informatics; prediction; forecasting; energy demand
Online: 14 May 2019 (14:00:40 CEST)
ARTICLE
|
doi:10.20944/preprints202406.1554.v1
Subject:
Artificial Intelligence And Machine Learning,
Computer Science And Mathematics
Keywords:
Multi-Agent Systems (MAS), Machine Learning Pipelines, Supervised Learning, Data Science
Automation, Large Language Models (LLM), Reinforcement Learning (RL), Time Series Forecasting, AI Agents,
Open-Source Framework, Model Efficiency, Task Automation · Scalability in Machine Learning, Model Adaptability,
Collaborative AI Systems, Machine Learning Workflow Optimization
Automation, Large Language Models (LLM), Reinforcement Learning (RL), Time Series Forecasting, AI Agents,
Open-Source Framework, Model Efficiency, Task Automation · Scalability in Machine Learning, Model Adaptability,
Collaborative AI Systems, Machine Learning Workflow Optimization
Online: 24 June 2024 (09:50:32 CEST)