Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm.
Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
"Sinopsis" puede pertenecer a otra edición de este libro.
Mehul Mahrishi is currently working as an Associate Professor in the faculty of computer Science & Engineering at the Swami Keshvanand Institute of Technology, Management and Gramothan, Jaipur – India. He is a Professional Member of IEEE Delhi Section, Life Member of Institution of Engineers, India (L-IEI) and Life member of International Association of Engineers (IAENG). He was a member of an Indian contingent of BRICS International Forum that travelled to Moscow, Russia to attend Russian Energy Week-2018 and BRICS Youth Energy Summit. He has published more than 20 research papers in national and international Journals/conferences including 19th ISDA, 4th SoCTA, 3rd International Conference on Machine Learning and Computing (ICMLC 2011), 3rd IACC 2013 and chapters in books. He has also participated in a range of forums by Infosys, TCS, and WIPRO-Mission 10 X, IBM etc. His research activities are currently twofold: while the first research activity is set to explore the developmental enhancements in applications in computer vision; the second major research theme focused on the emerging capabilities of parallel and cloud computing. Mr. Mahrishi is rewarded at number of occasions in various domains including Recognition as an active reviewer by Journal of Parallel and Distributed Computing (JPDC, Elsevier, and SCI & Scopus Indexed), IEEE continuing education certification for “Cloud Computing Enable Technologies and Recognition for outstanding performance in Campus Connect Program by Infosys, India.
Kamal Hiran has over 18 years of experience in academia, research, and administration in Asia, Africa, Europe, and North America. Currently he is working as Associate Professor in the School of Computer Science and IT, Symbiosis University of Applied Sciences, Indore, India and Adjunct Research Fellow at the Aalborg University, Copenhagen, Denmark. He has published 15 International books with repute publishers like BPB Publications, IGI Global, De Gruyter from India, Germany, USA, UK. He has made significant contributions to our society's technological transformation. He has several awards to his credit such as International travel grant for attending the IEEE Region 8 Committee Meeting at Warsaw, Poland; International travel grant for Germany from ITS Europe, Passau, Germany; Best Research Paper Award at the University of Gondar, Ethiopia; IEEE Liberia Subsection Founder Award; Gold Medal Award in MTech (Hons.); IEEE Ghana Section Award-Technical and Professional Activity Chair; IEEE Senior Member Recognition, Best IEEE Student Branch Award, Elsevier Reviewer Recognition Award. He has published 75 scientific research papers in SCI/Scopus/Web of Science and IEEE Transactions Journal, conferences, 2 Indian Patents, 1 Australian Patent Grants. He has made several international visits to Denmark, Sweden, Germany, Norway, Ghana, Liberia, Ethiopia, Russia, Dubai, Mexico, and Jordan for research exposures. His research interests focus on Artificial Intelligence, Cloud-edge computing, Machine-deep learning and Intelligent IoT.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 4,72 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envíoLibrería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9781799830962_new
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9781799830962
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9781799830962
Cantidad disponible: Más de 20 disponibles
Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, a. Nº de ref. del artículo: 596926467
Cantidad disponible: Más de 20 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book examines recent advancements in deep learning libraries, frameworks and algorithms. It also explores the multidisciplinary applications of machine learning and deep learning in real world'. Nº de ref. del artículo: 9781799830962
Cantidad disponible: 1 disponibles