Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication write by E. S. Gopi. This book was released on 2021-05-28. Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication available in PDF, EPUB and Kindle. This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.
Wireless Networks and Computational Intelligence
Wireless Networks and Computational Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Wireless Networks and Computational Intelligence write by K. R. Venugopal. This book was released on 2012-07-11. Wireless Networks and Computational Intelligence available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 6th International Conference on Information Processing, ICIP 2012, held in Bangalore, India, in August 2012. The 75 revised full papers presented were carefully reviewed and selected from 380 submissions. The papers are organized in topical sections on wireless networks; image processing; pattern recognition and classification; computer architecture and distributed computing; software engineering, information technology and optimization techniques; data mining techniques; computer networks and network security.
Computational Intelligence in Recent Communication Networks
Computational Intelligence in Recent Communication Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence in Recent Communication Networks write by Mariya Ouaissa. This book was released on 2022-02-21. Computational Intelligence in Recent Communication Networks available in PDF, EPUB and Kindle. This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development.
Big Data and Computational Intelligence in Networking
Big Data and Computational Intelligence in Networking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data and Computational Intelligence in Networking write by Yulei Wu. This book was released on 2017-12-14. Big Data and Computational Intelligence in Networking available in PDF, EPUB and Kindle. This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.
Computational Intelligence in Wireless Sensor Networks
Computational Intelligence in Wireless Sensor Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence in Wireless Sensor Networks write by Ajith Abraham. This book was released on 2017-01-11. Computational Intelligence in Wireless Sensor Networks available in PDF, EPUB and Kindle. This book emphasizes the increasingly important role that Computational Intelligence (CI) methods are playing in solving a myriad of entangled Wireless Sensor Networks (WSN) related problems. The book serves as a guide for surveying several state-of-the-art WSN scenarios in which CI approaches have been employed. The reader finds in this book how CI has contributed to solve a wide range of challenging problems, ranging from balancing the cost and accuracy of heterogeneous sensor deployments to recovering from real-time sensor failures to detecting attacks launched by malicious sensor nodes and enacting CI-based security schemes. Network managers, industry experts, academicians and practitioners alike (mostly in computer engineering, computer science or applied mathematics) benefit from th e spectrum of successful applications reported in this book. Senior undergraduate or graduate students may discover in this book some problems well suited for their own research endeavors.
