Special Issue on Recent Advances in Machine Learning and Applications

Digital technologies for cyber-physical systems are rapidly advancing, and the ubiquity of the Internet of Things (IoT) has created significant challenges for academic, industrial, and service applications due to high dimensionality, noise contamination, incompleteness, inconsistency, and massive am...

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Vydáno v:Processes Ročník 10; číslo 11; s. 2411
Hlavní autor: Wang, Chien-Chih
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.11.2022
Témata:
Algorithms
Artificial intelligence
Counseling
Fault diagnosis
Forecasts and trends
Internet of Things
Inventory
Machine learning
Manufacturing
Medical research
Memory
Neural networks
Optimization
Software
Time series
ISSN:2227-9717, 2227-9717
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Popis
Shrnutí:Digital technologies for cyber-physical systems are rapidly advancing, and the ubiquity of the Internet of Things (IoT) has created significant challenges for academic, industrial, and service applications due to high dimensionality, noise contamination, incompleteness, inconsistency, and massive amounts of data [...]
Bibliografie:SourceType-Scholarly Journals-1
content type line 14
ObjectType-Editorial-2
ObjectType-Commentary-1
ISSN:2227-9717
2227-9717
DOI:10.3390/pr10112411