Obálka

Machine Learning and Artificial Intelligence for Smart Systems in Engineering and Healthcare Select Proceedings of FLAME 2024 /

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...

Celý popis

Uloženo v:
Podrobná bibliografie
Korporativní autor: SpringerLink (Online service)
Další autoři: Singh, Sofia (Editor), Singh, Anurag (Editor), Sharma, Bhupendra Prakash (Editor), Das, Bhudev Chandra (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Lecture Notes in Electrical Engineering, 1433
Témata:
Biomedical engineering.
Machine learning.
Artificial intelligence.
Biomechanics.
Medical and Health Technologies.
Machine Learning.
Artificial Intelligence.
Biomechanical Analysis and Modeling.
On-line přístup:https://doi.org/10.1007/978-981-96-7214-1
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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. .
Fyzický popis:1 online resource (IX, 599 p. 240 illus.). 183 illus. in color.
ISBN:9789819672141
ISSN:1876-1119 ;
DOI:10.1007/978-981-96-7214-1

Podobné jednotky