Chen Machine Learning and Autonomous Systems

Machine Learning and Autonomous Systems

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Proceedings of ICMLAS 2021

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Beschreibung

This book involves a collection of selected papers presented at International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), held in Tamil Nadu, India, during 24–25 September 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers selected papers in the area of emerging modern mobile robotic systems and intelligent information systems and autonomous systems in agriculture, health care, education, military and industries.
This book involves a collection of selected papers presented at International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), held in Tamil Nadu, India, during 24–25 September 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers selected papers in the area of emerging modern mobile robotic systems and intelligent information systems and autonomous systems in agriculture, health care, education, military and industries.
Presents high-quality research papers in machine learning and autonomous systems Features the outcomes of ICMLAS 2021 Serves as a reference resource for researchers and practitioners in academia and industry

Autor*in

Joy Iong-Zong Chen

Themen in »Machine Learning and Autonomous Systems«

Machine Learning Deep Learning Approaches Autonomous Algorithms and Learning Adaptation Support Vector Machine Autonomous Systems Autonomous sensors ICMLAS 2021

Stimmen zu »Machine Learning and Autonomous Systems«

Details

ISBN: 9789811679964
Verlag: Springer Singapore
Erscheinung: 10.02.2022

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