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Deep Learning Applications, Volume 4

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Classement des ventes 110900dans
CHF153.50

Description

This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.

Détails

Autres ISBN/GTIN9789811961533
Type de produitE-book
ReliureE-book
FormatPDF
Indications sur le formatfiligrane
Date de parution25.11.2022
Edition1st ed. 2023
SérieAdvances in Intelligent Systems and Computing
No. de série1434
Pages384 pages
LangueAnglais
IllustrationsXIV, 384 p. 155 illus., 124 illus. in color.
N° article41558625
CataloguesVC
Source des données n°3908906
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Série

Auteur

Dr. M. Arif Wani is currently a Professor at the University of Kashmir, having previously served as a Professor at California State University Bakersfield. He completed his M. Tech. in Computer Technology at the   Indian Institute of Technology, Delhi, and his Ph.D. in Computer Vision at Cardiff University, UK. His research interests are in the area of machine learning, with a focus on neural networks, deep learning, inductive learning, and support vector machines, and with application to areas that include computer vision, pattern recognition, classification, prediction and analysis of gene expression datasets. He has published many papers in reputed journals and conferences in these areas. Dr. Wani has co-authored the book Advances in Deep Learning´, co-edited many books in Machine Learning and Applications´ and Deep Learning Applications´. He is a member of many academic and professional bodies.




Dr. Vasile Palade is currently a Professor of Artificial Intelligence and Data Science at Coventry University, UK. He previously held several academic and research positions at the University of Oxford - UK, University of Hull - UK, and the University of Galati - Romania. His research interests are in the area of machine learning, with a focus on neural networks and deep learning, and with main application to computer vision, social network data analysis and web mining, autonomous driving, smart cities, health, among others. Prof. Palade is author and co-author of more than 200 papers in journals and conference proceedings as well as several books on machine learning and applications. He is an Associate Editor for several reputed journals, such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Knowledge and Information Systems. He has delivered keynote talks to international conferences on machine learning and applications. Dr. Vasile Palade is an IEEE Senior Member.

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