Machine Learning For Network Traffic And Video Quality Analysis

Author : Tulsi Pawan Fowdur,Lavesh Babooram
Publisher : Apress
Page : 475 pages
File Size : 46,7 Mb
Release : 2024-07-04
Category : Mathematics
ISBN : 9798868803543

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Machine Learning For Network Traffic and Video Quality Analysis by Tulsi Pawan Fowdur,Lavesh Babooram Pdf

This book offers both theoretical insights and hands-on experience in understanding and building machine learning-based Network Traffic Monitoring and Analysis (NTMA) and Video Quality Assessment (VQA) applications using JavaScript. JavaScript provides the flexibility to deploy these applications across various devices and web browsers. The book begins by delving into NTMA, explaining fundamental concepts and providing an overview of existing applications and research within this domain. It also goes into the essentials of VQA and offers a survey of the latest developments in VQA algorithms. The book includes a thorough examination of machine learning algorithms that find application in both NTMA and VQA, with a specific emphasis on classification and prediction algorithms such as the Multi-Layer Perceptron and Support Vector Machine. The book also explores the software architecture of the NTMA client-server application. This architecture is meticulously developed using HTML, CSS, Node.js, and JavaScript. Practical aspects of developing the Video Quality Assessment (VQA) model using JavaScript and Java are presented. Lastly, the book provides detailed guidance on implementing a complete system model that seamlessly merges NTMA and VQA into a unified web application, all built upon a client-server paradigm. By the end of the book, you will understand NTMA and VQA concepts and will be able to apply machine learning to both domains and develop and deploy your own NTMA and VQA applications using JavaScript and Node.js. What You Will Learn What are the fundamental concepts, existing applications, and research on NTMA? What are the existing software and current research trends in VQA? Which machine learning algorithms are used in NTMA and VQA? How do you develop NTMA and VQA web-based applications using JavaScript, HTML, and Node.js? Who This Book Is For Software professionals and machine learning engineers involved in the fields of networking and telecommunications

Author : Tulsi Pawan Fowdur,Lavesh Babooram
Publisher : Apress
Page : 0 pages
File Size : 44,8 Mb
Release : 2024-06-27
Category : Mathematics
ISBN : 9798868803536

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Machine Learning For Network Traffic and Video Quality Analysis by Tulsi Pawan Fowdur,Lavesh Babooram Pdf

This book offers both theoretical insights and hands-on experience in understanding and building machine learning-based Network Traffic Monitoring and Analysis (NTMA) and Video Quality Assessment (VQA) applications using JavaScript. JavaScript provides the flexibility to deploy these applications across various devices and web browsers. The book begins by delving into NTMA, explaining fundamental concepts and providing an overview of existing applications and research within this domain. It also goes into the essentials of VQA and offers a survey of the latest developments in VQA algorithms. The book includes a thorough examination of machine learning algorithms that find application in both NTMA and VQA, with a specific emphasis on classification and prediction algorithms such as the Multi-Layer Perceptron and Support Vector Machine. The book also explores the software architecture of the NTMA client-server application. This architecture is meticulously developed using HTML, CSS, Node.js, and JavaScript. Practical aspects of developing the Video Quality Assessment (VQA) model using JavaScript and Java are presented. Lastly, the book provides detailed guidance on implementing a complete system model that seamlessly merges NTMA and VQA into a unified web application, all built upon a client-server paradigm. By the end of the book, you will understand NTMA and VQA concepts and will be able to apply machine learning to both domains and develop and deploy your own NTMA and VQA applications using JavaScript and Node.js. What You Will Learn What are the fundamental concepts, existing applications, and research on NTMA? What are the existing software and current research trends in VQA? Which machine learning algorithms are used in NTMA and VQA? How do you develop NTMA and VQA web-based applications using JavaScript, HTML, and Node.js? Who This Book Is For Software professionals and machine learning engineers involved in the fields of networking and telecommunications

Author : TULSI PAWAN. BABOORAM FOWDUR (LAVESH.)
Publisher : Unknown
Page : 0 pages
File Size : 41,9 Mb
Release : 2024
Category : Electronic
ISBN : 9798868803

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DEVELOPING MACHINE LEARNING-BASED NETWORK TRAFFIC ANALYSIS AND VIDEO QUALITY ASSESSMENT... APPLICATIONS IN JAVASCRIPT by TULSI PAWAN. BABOORAM FOWDUR (LAVESH.) Pdf

Author : Ernst Biersack,Christian Callegari,Maja Matijasevic
Publisher : Springer
Page : 370 pages
File Size : 41,9 Mb
Release : 2013-03-02
Category : Computers
ISBN : 9783642367847

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Data Traffic Monitoring and Analysis by Ernst Biersack,Christian Callegari,Maja Matijasevic Pdf

This book was prepared as the Final Publication of COST Action IC0703 "Data Traffic Monitoring and Analysis: theory, techniques, tools and applications for the future networks". It contains 14 chapters which demonstrate the results, quality,and the impact of European research in the field of TMA in line with the scientific objective of the Action. The book is structured into three parts: network and topology measurement and modelling, traffic classification and anomaly detection, quality of experience.

Author : Bo Li,Jie Zheng,Yong Fang,Mao Yang,Zhongjiang Yan
Publisher : Springer Nature
Page : 654 pages
File Size : 54,9 Mb
Release : 2020-03-31
Category : Computers
ISBN : 9783030447519

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IoT as a Service by Bo Li,Jie Zheng,Yong Fang,Mao Yang,Zhongjiang Yan Pdf

This book constitutes the refereed post-conference proceedings of the Fifth International Conference on IoT as a Service, IoTaaS 2019, which took place in Xi’an, China, in November 2019. The 54 revised full papers were carefully reviewed and selected from 106 submissions. The papers contribute to the discussion on the challenges posed by Internet of Things (Io). The two technical tracks and three workshops deal in detail: Networking and Communications Technologies for IoT, IoT as a service, International Workshop on Edge Intelligence and Computing for IoT Communications and Applications, International Workshop on Wireless Automated Networking for Internet of Things, and International Workshop on Ubiquitous Services Transmission for Internet of Things.

Author : El-Sayed M. El-Alfy,George Bebis,Mengchu Zhou
Publisher : CRC Press
Page : 404 pages
File Size : 46,9 Mb
Release : 2023-04-12
Category : Computers
ISBN : 9781000851915

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Intelligent Image and Video Analytics by El-Sayed M. El-Alfy,George Bebis,Mengchu Zhou Pdf

Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, big data analytics, machine learning, neural network, and deep learning with focus on multimodality video analytics and recent advances in research/applications. Features: Provides up-to-date coverage of the state-of-the-art techniques in intelligent video analytics. Explores important applications that require techniques from both artificial intelligence and computer vision. Describes multimodality video analytics for different applications. Examines issues related to multimodality data fusion and highlights research challenges. Integrates various techniques from video processing, data mining and machine learning which has many emerging indoors and outdoors applications of smart cameras in smart environments, smart homes, and smart cities. This book aims at researchers, professionals and graduate students in image processing, video analytics, computer science and engineering, signal processing, machine learning, and electrical engineering.

Author : Nur Zincir-Heywood,Marco Mellia,Yixin Diao
Publisher : John Wiley & Sons
Page : 402 pages
File Size : 50,7 Mb
Release : 2021-10-12
Category : Technology & Engineering
ISBN : 9781119675501

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning by Nur Zincir-Heywood,Marco Mellia,Yixin Diao Pdf

COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based ­management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud ­systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic ­generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management.

Author : Com?a, Ioan-Sorin,Trestian, Ramona
Publisher : IGI Global
Page : 356 pages
File Size : 45,7 Mb
Release : 2019-01-25
Category : Technology & Engineering
ISBN : 9781522574590

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Next-Generation Wireless Networks Meet Advanced Machine Learning Applications by Com?a, Ioan-Sorin,Trestian, Ramona Pdf

The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.

Author : Lei Wang,Tie Qiu,Wenbing Zhao
Publisher : Springer
Page : 260 pages
File Size : 45,8 Mb
Release : 2018-03-28
Category : Computers
ISBN : 9783319780788

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Quality, Reliability, Security and Robustness in Heterogeneous Systems by Lei Wang,Tie Qiu,Wenbing Zhao Pdf

This book constitutes the refereed post-conference proceedings of the 13th International Conference on Quality, Reliability, Security and Robustness in Heterogeneous Networks, QShine 2017, held in Dalian, China, in December 2017. The 25 revised full papers were carefully reviewed and selected from 43 submissions. The papers are organized thematically in tracks, starting with mobile and wireless networks, quality and reliability, wireless networking algorithms and protocols, and smart applications.

Author : Oliver Hohlfeld,Andra Lutu,Dave Levin
Publisher : Springer Nature
Page : 582 pages
File Size : 54,5 Mb
Release : 2021-03-29
Category : Computers
ISBN : 9783030725822

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Passive and Active Measurement by Oliver Hohlfeld,Andra Lutu,Dave Levin Pdf

This book constitutes the proceedings of the 22nd Conference on Passive and Active Measurement, PAM 2021, which was planned to be held in Cottbus, Germany, in March 2021. Due to the Corona pandemic, the conference was organized as a virtual meeting. The 33 full papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: COVID-19; web security; video streaming; TLS; staying connected; DoS; performance; network security; DNS; capacity; and exposing hidden behaviors. Due to the Corona pandemic, PAM 2021 was held as a virtual conference.

Author : Xingang Liu,Dai Cheng,Lai Jinfeng
Publisher : Springer
Page : 743 pages
File Size : 46,9 Mb
Release : 2019-01-15
Category : Computers
ISBN : 9783030061616

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Communications and Networking by Xingang Liu,Dai Cheng,Lai Jinfeng Pdf

The book constitutes the refereed proceedings of the 13th EAI International Conference on Communications and Networking, held in October 2018 in Chengdu, China. The 71 papers presented were carefully selected from 114 submissions. The papers are organized in topical sections on wireless communications and networking, next generation WLAN, big data networks, cloud communications and networking, ad hoc and sensor networks, satellite and space communications and networking, optical communications and networking, information and coding theory, multimedia communications and smart networking, green communications and computing, signal processing for communications, network and information security, machine-to-machine and IoT, communication QoS, reliability and modeling, cognitive radio and networks, smart internet of things modeling, pattern recognition and image signal processing, digital audio and video signal processing, antenna and microwave communications, radar imaging and target recognition, and video coding and image signal processing.

Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Publisher : IGI Global
Page : 674 pages
File Size : 54,9 Mb
Release : 2019-12-13
Category : Computers
ISBN : 9781522596455

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Solanki, Arun,Kumar, Sandeep,Nayyar, Anand Pdf

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Author : Pardeep Kumar,Vishal Jain,Vasaki Ponnusamy
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 51,5 Mb
Release : 2021-09-08
Category : Technology & Engineering
ISBN : 9781119761662

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The Smart Cyber Ecosystem for Sustainable Development by Pardeep Kumar,Vishal Jain,Vasaki Ponnusamy Pdf

The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guarantee sustainable development for a better and healthier ecosystem. The main actors of this cyber ecosystem include the Internet of Things (IoT), artificial intelligence (AI), and the mechanisms providing cybersecurity. This book attempts to collect and publish innovative ideas, emerging trends, implementation experiences, and pertinent user cases for the purpose of serving mankind and societies with sustainable societal development. The 22 chapters of the book are divided into three sections: Section I deals with the Internet of Things, Section II focuses on artificial intelligence and especially its applications in healthcare, whereas Section III investigates the different cyber security mechanisms. Audience This book will attract researchers and graduate students working in the areas of artificial intelligence, blockchain, Internet of Things, information technology, as well as industrialists, practitioners, technology developers, entrepreneurs, and professionals who are interested in exploring, designing and implementing these technologies.

Author : Alcardo Barakabitze,Andrew Hines
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 43,7 Mb
Release : 2022-12-06
Category : Technology & Engineering
ISBN : 9781119800811

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Multimedia Streaming in SDN/NFV and 5G Networks by Alcardo Barakabitze,Andrew Hines Pdf

Multimedia Streaming in SDN/NFV and 5G Networks A comprehensive overview of Quality of Experience control and management of multimedia services in future networks In Multimedia Streaming in SDN/NFV and 5G Networks, renowned researchers deliver a high-level exploration of Quality of Experience (QoE) control and management solutions for multimedia services in future softwarized and virtualized 5G networks. The book offers coverage of network softwarization and virtualization technologies, including SDN, NFV, MEC, and Fog/Cloud Computing, as critical elements for the management of multimedia services in future networks, like 5G and 6G networks and beyond. Providing a fulsome examination of end-to-end QoE control and management solutions in softwarized and virtualized networks, the book concludes with discussions of probable future challenges and research directions in emerging multimedia services and applications, 5G network management and orchestration, network slicing and collaborative service management of multimedia services in softwarized networks, and QoE-oriented business models. The distinguished authors also explore: Thorough introductions to 5G networks, including definitions and requirements, as well as Quality of Experience management of multimedia streaming services Comprehensive explorations of multimedia streaming services over the internet and network softwarization and virtualization in future networks Practical discussions of QoE management using SDN and NFV in future networks, as well as QoE management of multimedia services in emerging architectures, including MEC, ICN, and Fog/Cloud Computing In-depth examinations of QoE in emerging applications, 5G network slicing architectures and implementations, and 5G network slicing orchestration and resource management Perfect for researchers and engineers in multimedia services and telecoms, Multimedia Streaming in SDN/NFV and 5G Networks will also earn a place in the libraries of graduate and senior undergraduate students with interests in computer science, communication engineering, and telecommunication systems.

Author : Behrouz Zolfaghari,Hamid Nemati,Naoto Yanai,Khodakhast Bibak
Publisher : Springer Nature
Page : 229 pages
File Size : 42,9 Mb
Release : 2023-11-14
Category : Technology & Engineering
ISBN : 9783031448072

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Crypto and AI by Behrouz Zolfaghari,Hamid Nemati,Naoto Yanai,Khodakhast Bibak Pdf

This book studies the intersection between cryptography and AI, highlighting the significant cross-impact and potential between the two technologies. The authors first study the individual ecosystems of cryptography and AI to show the omnipresence of each technology in the ecosystem of the other one. Next, they show how these technologies have come together in collaborative or adversarial ways. In the next section, the authors highlight the coevolution being formed between cryptography and AI. Throughout the book, the authors use evidence from state-of-the-art research to look ahead at the future of the crypto-AI dichotomy. The authors explain how they anticipate that quantum computing will join the dichotomy in near future, augmenting it to a trichotomy. They verify this through two case studies highlighting another scenario wherein crypto, AI and quantum converge. The authors study current trends in chaotic image encryption as well as information-theoretic cryptography and show how these trends lean towards quantum-inspired artificial intelligence (QiAI). After concluding the discussions, the authors suggest future research for interested researchers.