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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Vydané v:Processes Ročník 10; číslo 11; s. 2411
Hlavný autor: Wang, Chien-Chih
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.11.2022
Predmet:
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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Abstract 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 [...]
AbstractList 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 [...]
Audience Academic
Author Wang, Chien-Chih
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2022 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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SubjectTerms 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
Title Special Issue on Recent Advances in Machine Learning and Applications
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