03881nam 22006495 450 991103505830332120251025130414.09789819672141(electronic bk.)978981967213410.1007/978-981-96-7214-1(MiAaPQ)EBC32376188(Au-PeEL)EBL32376188(CKB)41738227100041(DE-He213)978-981-96-7214-1(EXLCZ)994173822710004120251025d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning and Artificial Intelligence for Smart Systems in Engineering and Healthcare Select Proceedings of FLAME 2024 /edited by Sofia Singh, Anurag Singh, Bhupendra Prakash Sharma, Bhudev Chandra Das1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (716 pages)Lecture Notes in Electrical Engineering,1876-1119 ;1433Print version: Singh, Sofia Machine Learning and Artificial Intelligence for Smart Systems in Engineering and Healthcare Singapore : Springer,c2025 9789819672134 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. .Lecture Notes in Electrical Engineering,1876-1119 ;1433Biomedical engineeringMachine learningArtificial intelligenceBiomechanicsMedical and Health TechnologiesMachine LearningArtificial IntelligenceBiomechanical Analysis and ModelingBiomedical engineering.Machine learning.Artificial intelligence.Biomechanics.Medical and Health Technologies.Machine Learning.Artificial Intelligence.Biomechanical Analysis and Modeling.610.28Singh Sofia1854212Singh Anurag1854213Sharma Bhupendra Prakash1369363Das Bhudev Chandra1854214MiAaPQMiAaPQMiAaPQ9911035058303321Machine Learning and Artificial Intelligence for Smart Systems in Engineering and Healthcare4451285UNINA