Handbook of Research on Smart Technology Models for Business and Industry - Couverture rigide

Couverture rigide

ISBN 10 : 1799836452 ISBN 13 : 9781799836452

Editeur : Business Science Reference, 2020

Synopsis

Advances in machine learning techniques and ever-increasing computing power has helped create a new generation of hardware and software technologies with practical applications for nearly every industry. As the progress has, in turn, excited the interest of venture investors, technology firms, and a growing number of clients, implementing intelligent automation in both physical and information systems has become a must in business. Handbook of Research on Smart Technology Models for Business and Industry is an essential reference source that discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies. Featuring research on topics such as digital security, renewable energy, and intelligence management, this book is ideally designed for machine learning specialists, industrial experts, data scientists, researchers, academicians, students, and business professionals seeking coverage on current smart technology models.

A propos du livre

À propos de l?auteur

J. Joshua Thomas is a senior lecturer at KDU Penang University College, Malaysia since 2008. He obtained his PhD (Intelligent Systems Techniques) in 2015 from University Sains Malaysia, Penang, and Master's degree in 1999 from Madurai Kamaraj University, India. From July to September 2005, he worked as a research assistant at the Artificial Intelligence Lab in University Sains Malaysia. From March 2008 to March 2010, he worked as a research associate at the same University. Currently, he is working with Machine Learning, Big Data, Data Analytics, Deep Learning, specially targeting on Convolutional Neural Networks (CNN) and Bi-directional Recurrent Neural Networks (RNN) for image tagging with embedded natural language processing, End to end steering learning systems and GAN. His work involves experimental research with software prototypes and mathematical modelling and design He is an editorial board member for the Journal of Energy Optimization and Engineering (IJEOE), and invited guest editor for Journal of Visual Languages Communication (JVLC-Elsevier). He has published more than 30 papers in leading international conference proceedings and peer reviewed journals.

Détails de l'édition

• Éditeur: Business Science Reference
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 1799836452
• ISBN 13: 9781799836452
• Reliure: Relié
• Nombre de pages: 491
• Éditeur: Thomas J. Joshua, Fiore Ugo, Lechuga Gilberto Perez, Kharchenko Valeriy, Vasant Pandian
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible