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Machine Learning for Networking

2019-05-10 Computers
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Release : 2019-05-10
Genre : Computers
Kind : eBook
Book Rating : 452/5 ( reviews)

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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 2019-05-10. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018. The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: Deep and reinforcement learning; Pattern recognition and classification for networks; Machine learning for network slicing optimization, 5G system, 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/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.

Machine Learning in Social Networks

2020-11-25 Technology & Engineering
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Release : 2020-11-25
Genre : Technology & Engineering
Kind : eBook
Book Rating : 223/5 ( reviews)

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Book Synopsis Machine Learning in Social Networks by : Manasvi Aggarwal

Download or read book Machine Learning in Social Networks written by Manasvi Aggarwal. This book was released on 2020-11-25. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with network representation learning. It deals with embedding nodes, edges, subgraphs and graphs. There is a growing interest in understanding complex systems in different domains including health, education, agriculture and transportation. Such complex systems are analyzed by modeling, using networks that are aptly called complex networks. Networks are becoming ubiquitous as they can represent many real-world relational data, for instance, information networks, molecular structures, telecommunication networks and protein–protein interaction networks. Analysis of these networks provides advantages in many fields such as recommendation (recommending friends in a social network), biological field (deducing connections between proteins for treating new diseases) and community detection (grouping users of a social network according to their interests) by leveraging the latent information of networks. An active and important area of current interest is to come out with algorithms that learn features by embedding nodes or (sub)graphs into a vector space. These tasks come under the broad umbrella of representation learning. A representation learning model learns a mapping function that transforms the graphs' structure information to a low-/high-dimension vector space maintaining all the relevant properties.

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

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

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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.

Machine Learning with Neural Networks

2021-10-28 Science
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Release : 2021-10-28
Genre : Science
Kind : eBook
Book Rating : 563/5 ( reviews)

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Book Synopsis Machine Learning with Neural Networks by : Bernhard Mehlig

Download or read book Machine Learning with Neural Networks written by Bernhard Mehlig. This book was released on 2021-10-28. Available in PDF, EPUB and Kindle. Book excerpt: This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.

Machine Learning Modeling for IoUT Networks

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

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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.

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