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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and artificial intelligence for smart systems in engineering and healthcare/ edited by Sofia Singh ... [et al.].
其他題名:	select proceedings of FLAME 2024 /
其他題名:	FLAME 2024
其他作者:	Singh, Sofia.
團體作者:	Biennial International Conference on Future Learning Aspects for Mechanical Engineering
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	ix, 599 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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
標題:	Mechanical engineering - Congresses. -
電子資源:	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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