ARTICLE
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doi:10.20944/preprints202208.0345.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
Deep learning; solar radiation forecasting; model prediction; solar energy; multi climates data; generalizability; sustainability; Long Short-Term Memory (LSTM); Gated Recurrent Unit (GRU); Convolutional Neural Network (CNN); Hybrid CNN-Bidirectional LSTM; LSTM Autoencoder
Online: 18 August 2022 (10:59:18 CEST)
ARTICLE
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doi:10.20944/preprints202310.1635.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
experimental study on time series prediction methods; investigation on time series model predictions; analysis of the effects of data pre-processing methods on time series prediction; long short-term memory models; stacked autoencoder; wavelet transformation
Online: 25 October 2023 (10:23:19 CEST)
ARTICLE
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doi:10.20944/preprints201805.0137.v1
Subject:
Biology And Life Sciences,
Neuroscience And Neurology
Keywords:
neuroscience; thalamus; basal ganglia; cortical layers; hippocampus; cerebellum; habenula; claustrum; amygdala; inhibition; predictions; automaticity; dopamine; serotonin; acetylcholine; opioids; oxytocin; crh; glucocorticoids; cannabinoids; orexin; melanin-concentrating hormone; mirror neuron; place cells; grid cells; language; imagery; working memory; attention; consciousness; emotions
Online: 9 May 2018 (05:35:51 CEST)
ARTICLE
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doi:10.20944/preprints202312.2052.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
Continual learning;
Class-incremental learning;
Incremental learning;
Lifelong learning;
Learning on the fly;
Online learning;
Dynamic learning;
Learning with limited data;
Adaptive learning;
Sequential learning;
Learning from streaming data;
Learning from non-stationary distributions;
Never-ending learning;
Learning without forgetting;
Catastrophic forgetting;
Memory-aware learning
Class-incremental learning;
Incremental learning;
Lifelong learning;
Learning on the fly;
Online learning;
Dynamic learning;
Learning with limited data;
Adaptive learning;
Sequential learning;
Learning from streaming data;
Learning from non-stationary distributions;
Never-ending learning;
Learning without forgetting;
Catastrophic forgetting;
Memory-aware learning
Online: 27 December 2023 (04:19:26 CET)
ARTICLE
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doi:10.20944/preprints202403.0518.v1
Subject:
Computer Science And Mathematics,
Discrete Mathematics And Combinatorics
Keywords:
COVID19; Chern-Simons Topological; QED (Quantum Electrodynamics); Homeopathic medicine; Water Memory; AI-Quantum computing; Quantum-Inspired Evolutionary Algorithm Predictive Toxicology; QSAR Quantum gates; CS Supergravity Quantum Foam; Cheminformatics artificial intelligence; Phase Data Mining; Machine Learning; Euclid Chemical space exploration; (bosonic) Quantum fields Theory (QFT); Angiotensin Receptor Neprilysin targeted DRVYIHPFX mimetic Holomorphic Ligands; Hidden Entanglement Negativity Translations; Uncertainty Quantum Relationships; Quantum fields theory; Quantum information; HyperGeometric Functions; Chemical Block Systems; Black Hole Paradox Generalizations; SphericalHarmonicY-Supersymmetry breaking foundations; WhittakerM Functions; Hypergeometric1F1 Functions; Turing Machine Learning Ruled Calculations; Avogadro Number’ s oriented Quantum Homeopathy Hidden Entanglement Negativities; Quantum foam; non-commutative geometry; small molecule ligand engineering; prot
Online: 11 March 2024 (03:52:07 CET)