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Machine learning and artificial intelligence for smart systems in engineering and healthcare = select proceedings of FLAME 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and artificial intelligence for smart systems in engineering and healthcare/ edited by Sofia Singh ... [et al.].
Reminder of title:	select proceedings of FLAME 2024 /
remainder title:	FLAME 2024
other author:	Singh, Sofia.
corporate name:	Biennial International Conference on Future Learning Aspects for Mechanical Engineering
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	ix, 599 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Revolutionizing Agriculture: A Comprehensive Exploration of IoT Based Smart Farming using Sensors -- IoT Empowered Urban Transformation: Building Tomorrow's Smart Citie -- Real-Time Carbon Footprint Monitoring of Organisational Infrastructure using IoT -- Design and Implement an IoT Solution to Address the Challenges of Remote Patient Monitoring and Improve Healthcare -- Leveraging Computer Vision, Deep Learning and IoT in Smart Plant Pest Identification for a Wide Range of Crops in Indian Agriculture.
Contained By:	Springer Nature eBook
Subject:	Mechanical engineering - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-7214-1
ISBN:	9789819672141

Machine learning and artificial intelligence for smart systems in engineering and healthcare = select proceedings of FLAME 2024 /
Machine learning and artificial intelligence for smart systems in engineering and healthcareselect proceedings of FLAME 2024 /[electronic resource] :FLAME 2024edited by Sofia Singh ... [et al.]. - Singapore :Springer Nature Singapore :2025. - ix, 599 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 14331876-1119 ;. - Lecture notes in electrical engineering ;v. 1433..

Revolutionizing Agriculture: A Comprehensive Exploration of IoT Based Smart Farming using Sensors -- IoT Empowered Urban Transformation: Building Tomorrow's Smart Citie -- Real-Time Carbon Footprint Monitoring of Organisational Infrastructure using IoT -- Design and Implement an IoT Solution to Address the Challenges of Remote Patient Monitoring and Improve Healthcare -- Leveraging Computer Vision, Deep Learning and IoT in Smart Plant Pest Identification for a Wide Range of Crops in Indian Agriculture.

This book presents the select proceedings of the 4th Biennial International Conference on Future Learning Aspects for Mechanical Engineering (FLAME 2024). It covers the applications of machine learning (ML) and artificial intelligence (AI) in the development of smart systems, with a particular focus on engineering and healthcare applications. It provides a comprehensive overview of state-of-the-art techniques, methodologies, and practical implementations of ML and AI to address complex problems in these domains. The book covers theoretical foundations, recent advancements, and case studies demonstrating the impact of smart systems on improving efficiency, accuracy, and overall performance in engineering and healthcare and many other multidisciplinary fields of mechanical engineering. This book will be useful for scientists, engineers, researchers and professionals working in the allied fields of machine learning and artificial intelligence.

ISBN: 9789819672141

Standard No.: 10.1007/978-981-96-7214-1doiSubjects--Topical Terms:

852715
Mechanical engineering
--Congresses.

LC Class. No.: TJ5

Dewey Class. No.: 621

Machine learning and artificial intelligence for smart systems in engineering and healthcare = select proceedings of FLAME 2024 /
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520 $a This book presents the select proceedings of the 4th Biennial International Conference on Future Learning Aspects for Mechanical Engineering (FLAME 2024). It covers the applications of machine learning (ML) and artificial intelligence (AI) in the development of smart systems, with a particular focus on engineering and healthcare applications. It provides a comprehensive overview of state-of-the-art techniques, methodologies, and practical implementations of ML and AI to address complex problems in these domains. The book covers theoretical foundations, recent advancements, and case studies demonstrating the impact of smart systems on improving efficiency, accuracy, and overall performance in engineering and healthcare and many other multidisciplinary fields of mechanical engineering. This book will be useful for scientists, engineers, researchers and professionals working in the allied fields of machine learning and artificial intelligence.
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