Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
Autor Singhen Limba Engleză Hardback – 31 aug 2020
Preț: 1029.87 lei
Preț vechi: 1287.34 lei
-20% Nou
197.09€ • 207.29$ • 164.17£
Carte tipărită la comandă
Livrare economică 04-18 ianuarie 25
Specificații
ISBN-10: 1119640369
Pagini: 272
Dimensiuni: 167 x 238 x 19 mm
Greutate: 0.53 kg
Editura: Wiley
Locul publicării:Hoboken, United States
Notă biografică
Krishna Kant Singh is an Associate Professor in Electronics and Communications Engineering in KIET Group of Institutions, Ghaziabad, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of machine learning and remote sensing. He has authored more than 50 technical books and research papers in international conferences and SCIE journals.
Akansha Singh is an Associate Professor in Department of Computer Science Engineering in Amity University, Noida, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of neural network and remote sensing. She has authored more than 40 technical books and research papers in international conferences and SCIE journals. Her area of interest includes Mobile Computing, Artificial Intelligence, Machine Learning, Digital Image Processing.
Korhan Cengiz received his PhD in Electronics Engineering from Kadir Has University, Istanbul, Turkey, in 2016. He has served as keynote speakers at many conferences. His research interests include wireless sensor networks, routing protocols, wireless communications, 5G systems, statistical signal processing, and spatial modulation.
Dac-Nhuong Le has a MSc and PhD in computer science from Vietnam National University, Vietnam in 2009 and 2015, respectively. He is Associate Professor in Computer Science, Deputy-Head of Faculty of Information Technology, Haiphong University, Vietnam. He has a total academic teaching experience of 12+ years with many publications in reputed international conferences, journals and online book chapters. His area of research includes: evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT and image processing in biomedical.