Share

Machine Learning Modeling for IoUT Networks

2021-05-29 Technology & Engineering
Download Machine Learning Modeling for IoUT Networks PDF Online Free

Author :
Release : 2021-05-29
Genre : Technology & Engineering
Kind : eBook
Book Rating : 675/5 ( reviews)

GET EBOOK


Book Synopsis Machine Learning Modeling for IoUT Networks by : Ahmad A. Aziz El-Banna

Download or read book Machine Learning Modeling for IoUT Networks written by Ahmad A. Aziz El-Banna. This book was released on 2021-05-29. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater’s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition, the authors present applications of machine learning techniques for opportunistic communication and underwater localization. They also discuss the current challenges of machine learning modeling of underwater communication from two communication engineering and data science perspectives.

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

2021-09-13 Computers
Download Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems PDF Online Free

Author :
Release : 2021-09-13
Genre : Computers
Kind : eBook
Book Rating : 814/5 ( reviews)

GET EBOOK


Book Synopsis Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems by : K. Suganthi

Download or read book Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems written by K. Suganthi. This book was released on 2021-09-13. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Internet of Unmanned Things (IoUT) and Mission-based Networking

2023-08-01 Technology & Engineering
Download Internet of Unmanned Things (IoUT) and Mission-based Networking PDF Online Free

Author :
Release : 2023-08-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 949/5 ( reviews)

GET EBOOK


Book Synopsis Internet of Unmanned Things (IoUT) and Mission-based Networking by : Chaker Abdelaziz Kerrache

Download or read book Internet of Unmanned Things (IoUT) and Mission-based Networking written by Chaker Abdelaziz Kerrache. This book was released on 2023-08-01. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the potential of the Internet of Unmanned Things (IoUT), which is considered a promising paradigm resulting in numerous applications including shipment of goods, home package delivery, crop monitoring, agricultural surveillance, and rescue operations. The authors discuss how IoUT nodes collaborate with each other in ad hoc manner through a Line-of-Sight (LoS) link to exchange data packets. Also discussed is how Unmanned Arial Vehicles (UAVs) can communicate with fixed ground stations, with an air traffic controller, or through a Non-Line-of-Sight (NLoS) link with a satellite-aided controller, generally based on preloaded missions. The authors go on to cover how to tackle issues that arise with dissimilar communication technologies. They cover how various problems can appear in inter-UAV and UAV-to-X communications including energy management, lack of security and the unreliability of wireless communication links, and handover from LoS to NLoS, and vice versa. In this book, the editors invited front-line researchers and authors to submit research exploring emerging technologies for IoUT and mission-based networking and how to overcome challenges.

Machine Learning for Networking

2022-03-22 Computers
Download Machine Learning for Networking PDF Online Free

Author :
Release : 2022-03-22
Genre : Computers
Kind : eBook
Book Rating : 78X/5 ( reviews)

GET EBOOK


Book Synopsis Machine Learning for Networking by : Éric Renault

Download or read book Machine Learning for Networking written by Éric Renault. This book was released on 2022-03-22. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks.

Deep Learning for Internet of Things Infrastructure

2021-09-30 Computers
Download Deep Learning for Internet of Things Infrastructure PDF Online Free

Author :
Release : 2021-09-30
Genre : Computers
Kind : eBook
Book Rating : 959/5 ( reviews)

GET EBOOK


Book Synopsis Deep Learning for Internet of Things Infrastructure by : Uttam Ghosh

Download or read book Deep Learning for Internet of Things Infrastructure written by Uttam Ghosh. This book was released on 2021-09-30. Available in PDF, EPUB and Kindle. Book excerpt: This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)–based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users. FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end users Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.

You may also like...