Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks - Hardcover

Hardcover

ISBN 10: 1119640369 ISBN 13: 9781119640363

Publisher: Wiley-Scrivener, 2020

Synopsis

Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

About this title

About the Author

Dac-Nhuong Le (Lê Đắc Nhường) has a M.Sc. and Ph.D 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. Presently, he is also the Vice-Director of Information Technology Apply and Foreign Language Training Center in the same university. He has a total academic teaching experience of 12 years with many publications in reputed international conferences, journals and online book chapter contributions (Indexed By: SCI, SCIE, SSCI, Scopus, ACM, DBLP). His area of research include: Soft computing, Network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT and Image processing in biomedical. His core work in network security, soft computing and IoT and image processing in biomedical. Recently, he has been the technique program committee, the technique reviews, the track chair for international conferences: FICTA 2014, CSI 2014, IC4SD 2015, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, ICDECT 2016, IUKM 2016, INDIA 2017, FICTA 2017, CISC 2017, ICICC 2018, ICCUT 2018, FICTA 2018 under Springer-ASIC/LNAI Series. Presently, he is serving in the editorial board of international journals and he authored/edited 10+ computer science books by Springer, Wiley, CRC Press. Website: dhhp.edu.vn/~nhuongld. Email: nhuongld@dhhp.edu.vn

From the Back Cover

Written in a comprehensive and lucid manner, this book explores the utilization of machine learning techniques like data analytics and cognitive power that will lead to better performance of communication and wireless systems.

Communication and network technology has witnessed recent rapid movement with the development of numerous information services and applications. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability, and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication.

Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

Audience

The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers and mechanical engineers (both in academia and industry) working in the field of machine learning, cognitive computing, mobile communication and wireless network system. Because it is an amalgamation of theory, mathematics, and examples of the discussed technologies, this book will also be relevant to all levels of students from undergraduate and postgraduate to research students studying computer science or electronics.

From the Inside Flap

Written in a comprehensive and lucid manner, this book explores the utilization of machine learning techniques like data analytics and cognitive power that will lead to better performance of communication and wireless systems.

Communication and network technology has witnessed recent rapid movement with the development of numerous information services and applications. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability, and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication.

Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

Audience

The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers and mechanical engineers (both in academia and industry) working in the field of machine learning, cognitive computing, mobile communication and wireless network system. Because it is an amalgamation of theory, mathematics, and examples of the discussed technologies, this book will also be relevant to all levels of students—from undergraduate and postgraduate to research students—studying computer science or electronics.

Edition details

• Publisher: Wiley-Scrivener
• Publication date: 2020
• ISBN 10: 1119640369
• ISBN 13: 9781119640363
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 272
• Editor: Singh Krishna Kant, Singh Akansha, Cengiz Korhan, Le Dac-Nhuong