Application of Machine Learning and Data Mining

The following special issue contains 14 articles accepted and published in the Special Issue "Mathematics and Computer Science, 2024" of the MDPI journal Mathematics. The included articles cover a wide range of topics related to the theory and applications of Machine Learning and Data Mini...

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Format:	E-Book
Sprache:	Englisch
Veröffentlicht:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Schlagworte:	adaptive boosting algorithm adversarial machine learning Applied computing aquaculture attendee prediction automated guided vehicle Bayesian optimization breakthroughs classifier robustness combined prediction Computing and Information Technology convolutional neural network defect fixing denoising autoencoder developer assignment diminish power loss driving risk field driving style recognition dynamics echo state network EEG signals ensemble classifiers environmental data epilepsy detection EPSO evasion attacks extended space feature extraction FIFA World Cup foundation model FVSI and Lmn genetic algorithm gradient correlation greenhouse gases heterogeneous collaborative network hidden feature extraction identification of weak bus intermodal linear regression LSTM machine learning maritime safety mask learning mathematical achievement mathematical optimization mega sports events moth–flame optimization MT-MSTd multi-domain features multi-population genetic algorithm multimodal navigation aids networks non-intrusive load recognition optic flow particle swarm optimization prediction of related issues predictions PSO variants psychological test rail/road transportation safety tips and warnings SNN state recognition STDP stochastic gradient descent structure sustainable transport task allocation unimodal vehicle-to-everything voltage stability
ISBN:	9783725819256, 3725819262, 9783725819263, 3725819254
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	The following special issue contains 14 articles accepted and published in the Special Issue "Mathematics and Computer Science, 2024" of the MDPI journal Mathematics. The included articles cover a wide range of topics related to the theory and applications of Machine Learning and Data Mining, as well as their extensions and generalizations. These topics include, but are not limited to, supervised, unsupervised, and self-learning methods; large-scale data mining; applicable neural networks and artificial intelligence; neural network-based industrial applications; neural models for natural language processing; deep learning for health informatics and biomedical engineering; graph convolutional neural networks and their applications; deep reinforcement learning and its applications; deep sparse and low-rank representation; and computer vision and pattern recognition techniques. In addition to these core areas, the authors of the included articles also delve into advanced methodologies and innovative approaches within these fields. The collection aims to provide comprehensive insights into recent advancements and emerging trends in Machine Learning and Data Mining, making it a valuable resource for researchers, practitioners, and students interested in the latest developments in these dynamic disciplines.
ISBN:	9783725819256 3725819262 9783725819263 3725819254
DOI:	10.3390/books978-3-7258-1926-3