Data Driven Intelligence In Wireless Networks
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Data Driven Intelligence In Wireless Networks
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Author : Muhammad Khalil Afzal
language : en
Publisher: CRC Press
Release Date : 2023-03-27
Data Driven Intelligence In Wireless Networks written by Muhammad Khalil Afzal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-27 with Computers categories.
This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep learning, federated learning, and artificial intelligence. This book details wireless communication problems that can be solved by data-driven solutions. It presents a generalized approach toward solving problems using specific data-driven techniques. The book also develops a taxonomy of problems according to the type of solution presented and includes several case studies that examine data-driven solutions for issues such as quality of service (QoS) in heterogeneous wireless networks, 5G/6G networks, and security in wireless networks. The target audience of this book includes professionals, researchers, professors, and students working in the field of networking, communications, machine learning, and related fields.
Data Driven Intelligence In Wireless Networks
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Author : Muhammad Khalil Afzal
language : en
Publisher: CRC Press
Release Date : 2023-03-27
Data Driven Intelligence In Wireless Networks written by Muhammad Khalil Afzal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-27 with Computers categories.
Covers details on wireless communication problems, conducive for data-driven solutions Provides a comprehensive account of programming languages, tools, techniques, and good practices Provides an introduction to data-driven techniques applied to wireless communication systems Examines data-driven techniques, performance, and design issues in wireless networks Includes several case studies that examine data-driven solution for QoS in heterogeneous wireless networks
Emerging Trends In Data Driven Computing And Communications
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Author : Rajeev Mathur
language : en
Publisher: Springer Nature
Release Date : 2021-09-27
Emerging Trends In Data Driven Computing And Communications written by Rajeev Mathur and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-27 with Technology & Engineering categories.
This book includes best selected, high-quality research papers presented at International Conference on Data Driven Computing and IoT (DDCIoT 2021) organized jointly by Geetanjali Institute of Technical Studies (GITS), Udaipur, and Rajasthan Technical University, Kota, India, during March 20–21, 2021. This book presents influential ideas and systems in the field of data driven computing, information technology, and intelligent systems.
Mining Over Air Wireless Communication Networks Analytics
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Author : Ye Ouyang
language : en
Publisher: Springer
Release Date : 2018-07-27
Mining Over Air Wireless Communication Networks Analytics written by Ye Ouyang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-27 with Computers categories.
This book introduces the concepts, applications and development of data science in the telecommunications industry by focusing on advanced machine learning and data mining methodologies in the wireless networks domain. Mining Over Air describes the problems and their solutions for wireless network performance and quality, device quality readiness and returns analytics, wireless resource usage profiling, network traffic anomaly detection, intelligence-based self-organizing networks, telecom marketing, social influence, and other important applications in the telecom industry. Written by authors who study big data analytics in wireless networks and telecommunication markets from both industrial and academic perspectives, the book targets the pain points in telecommunication networks and markets through big data. Designed for both practitioners and researchers, the book explores the intersection between the development of new engineering technology and uses data from the industry to understand consumer behavior. It combines engineering savvy with insights about human behavior. Engineers will understand how the data generated from the technology can be used to understand the consumer behavior and social scientists will get a better understanding of the data generation process.
Qoe Management In Wireless Networks
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Author : Ying Wang
language : en
Publisher: Springer
Release Date : 2016-08-01
Qoe Management In Wireless Networks written by Ying Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-01 with Technology & Engineering categories.
This SpringerBrief presents research results on QoE management schemes for mobile services, including user services, and resource allocation. Along with a review of the research literature, it offers a data-driven architecture for personalized QoE management in wireless networks. The primary focus is on introducing efficient personalized character extraction mechanisms, e.g., context-aware Bayesian graph model, and cooperative QoE management mechanisms. Moreover, in order to demonstrate in the effectiveness of the QoE model, a QoE measurement platform is described and its collected data examined. The brief concludes with a discussion of future research directions. The example mechanisms and the data-driven architecture provide useful insights into the designs of QoE management, and motivate a new line of thinking for users' satisfaction in future wireless networks.
Harnessing The Potential Of Ai For Modeling 6g Networks
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Author : Moses John Strydom
language : en
Publisher: Engineering Science Reference
Release Date : 2020-12-18
Harnessing The Potential Of Ai For Modeling 6g Networks written by Moses John Strydom and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with categories.
Our future society will be increasingly digitized, hyper-connected, and globally data driven. Mobile communication technologies are expected to progress far beyond anything seen so far in wireless-enabled applications, making everyday lives smoother and safer and dramatically improving the efficiency of businesses. As fifth generation (5G) research is maturing towards a global standard, the research community must focus on the development of beyond-5G solutions and the 2030 era, that is, 6G and beyond. It is not clear yet what 6G will entail, and what new technologies will emerge, but it is clear the way in which data is collected, processed, transmitted, and consumed within the wireless network will be a key driver for 6G. These next-generation wireless networks must support ultra-reliable, low-latency communication, and intelligently manage a massive number of internet of things, or even the internet of everything devices in real time, within a highly dynamic environment. Enabling the vision of 6G requires addressing myriad theoretical and practical challenges. Harnessing the Potential of AI for Modeling 6G Networks investigates artificial intelligence-enabled sixth generation (6G) wireless networks. This cutting-edge book covers all areas related to 6G research including a heavy focus on the related emerging technologies. While highlighting topics such as wireless connectivity, device and circuit technologies, and the services and applications of 6G, this book is ideally intended for participants from both industry and academia working in all the domains of big data, artificial intelligence, robotics, and engineering, along with practitioners, stakeholders, researchers, academicians, and students interested in the potential of artificial intelligence and wireless networks across myriad different sectors.
Data Driven Approach Towards Disruptive Technologies
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Author : T P Singh
language : en
Publisher: Springer Nature
Release Date : 2021-04-06
Data Driven Approach Towards Disruptive Technologies written by T P Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Technology & Engineering categories.
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4–5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
Computational Intelligent Security In Wireless Communications
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Author : Suhel Ahmed Khan
language : en
Publisher: CRC Press
Release Date : 2022-09-21
Computational Intelligent Security In Wireless Communications written by Suhel Ahmed Khan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Technology & Engineering categories.
Wireless network security research is multidisciplinary in nature, including data analysis, economics, mathematics, forensics, information technology, and computer science. This text covers cutting-edge research in computational intelligence systems from diverse fields on the complex subject of wireless communication security. It discusses important topics including computational intelligence in wireless network and communications, artificial intelligence and wireless communication security, security risk scenarios in communications, security/resilience metrics and their measurements, data analytics of cyber-crimes, modeling of wireless communication security risks, advances in cyber threats and computer crimes, adaptive and learning techniques for secure estimation and control, decision support systems, fault tolerance and diagnosis, cloud forensics and information systems, and intelligent information retrieval. The book- Discusses computational algorithms for system modeling and optimization in security perspective. Focuses on error prediction and fault diagnosis through intelligent information retrieval via wireless technologies. Explores a group of practical research problems where security experts can help develop new data-driven methodologies. Covers application on artificial intelligence and wireless communication security risk perspective The text is primarily written for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. The text comprehensively discusses wide range of wireless communication techniques with emerging computational intelligent trends, to help readers understand the role of wireless technologies in applications touching various spheres of human life with the help of hesitant fuzzy sets based computational modeling. It will be a valuable resource for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Cloud Computing Enabled Big Data Analytics In Wireless Ad Hoc Networks
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Author : Sanjoy Das
language : en
Publisher: CRC Press
Release Date : 2022-03-21
Cloud Computing Enabled Big Data Analytics In Wireless Ad Hoc Networks written by Sanjoy Das and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-21 with Technology & Engineering categories.
This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANET The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.
Machine Learning And Deep Learning Techniques In Wireless And Mobile Networking Systems
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Author : K. Suganthi
language : en
Publisher: CRC Press
Release Date : 2021-09-14
Machine Learning And Deep Learning Techniques In Wireless And Mobile Networking Systems written by K. Suganthi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Technology & Engineering categories.
This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems. The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications. The book is written as a reference that offers the latest technologies and research results to various industry problems.