Machine Learning and Artificial Intelligence for Smart Systems in Engineering and Healthcare

Select Proceedings of FLAME 2024
Herausgegeben:Singh, Sofia; Singh, Anurag; Sharma, Bhupendra Prakash; Das, Bhudev Chandra

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Electrical Engineering 1433
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-7213-4
• Seitenzahl: 300
• Erscheinungstermin: August 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819672134
• Artikelnr.: 73892957

Inhaltsangabe

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.