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Intelligent systems and machine learning for industry : advancements, challenges and practices /

The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Anisha, P. R. (Editor)
Format: eBook
Language:English
Published: Boca Raton : CRC Press, 2022.
Series:Computational methods for industrial applications
Subjects:
Manufacturing processes > Technological innovations.
Machine learning > Industrial applications.
Medical technology > Automation.
Agricultural processing > Automation.
Environmental engineering > Automation.
Fabrication > Innovations.
Apprentissage automatique > Applications industrielles.
Technologie médicale > Automatisation.
Produits agricoles > Traitement > Automatisation.
Technique de l'environnement > Automatisation.
COMPUTERS / Computer Engineering
TECHNOLOGY / Electronics / General
TECHNOLOGY / Manufacturing
Machine learning > Industrial applications
Manufacturing processes > Technological innovations
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Call Number: TS183
 
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