Machine Learning For Network Traffic and Video Quality Analysis

Machine Learning For Network Traffic and Video Quality Analysis

Author: Tulsi Pawan Fowdur

Publisher: Apress

Published: 2024-07-04

Total Pages: 475

ISBN-13:

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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


Book Synopsis Machine Learning For Network Traffic and Video Quality Analysis by : Tulsi Pawan Fowdur

Download or read book Machine Learning For Network Traffic and Video Quality Analysis written by Tulsi Pawan Fowdur and published by Apress. This book was released on 2024-07-04 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

DEVELOPING MACHINE LEARNING-BASED NETWORK TRAFFIC ANALYSIS AND VIDEO QUALITY ASSESSMENT... APPLICATIONS IN JAVASCRIPT

DEVELOPING MACHINE LEARNING-BASED NETWORK TRAFFIC ANALYSIS AND VIDEO QUALITY ASSESSMENT... APPLICATIONS IN JAVASCRIPT

Author: TULSI PAWAN. BABOORAM FOWDUR (LAVESH.)

Publisher:

Published: 2024

Total Pages: 0

ISBN-13: 9789798868801

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

Download or read book DEVELOPING MACHINE LEARNING-BASED NETWORK TRAFFIC ANALYSIS AND VIDEO QUALITY ASSESSMENT... APPLICATIONS IN JAVASCRIPT written by TULSI PAWAN. BABOORAM FOWDUR (LAVESH.) and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Traffic Monitoring and Analysis

Data Traffic Monitoring and Analysis

Author: Ernst Biersack

Publisher: Springer

Published: 2013-03-02

Total Pages: 370

ISBN-13: 3642367844

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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.


Book Synopsis Data Traffic Monitoring and Analysis by : Ernst Biersack

Download or read book Data Traffic Monitoring and Analysis written by Ernst Biersack and published by Springer. This book was released on 2013-03-02 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

IoT as a Service

IoT as a Service

Author: Bo Li

Publisher: Springer Nature

Published: 2020-03-31

Total Pages: 654

ISBN-13: 3030447510

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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.


Book Synopsis IoT as a Service by : Bo Li

Download or read book IoT as a Service written by Bo Li and published by Springer Nature. This book was released on 2020-03-31 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Image and Video Analytics

Intelligent Image and Video Analytics

Author: El-Sayed M. El-Alfy

Publisher: CRC Press

Published: 2023-04-12

Total Pages: 404

ISBN-13: 1000851915

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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.


Book Synopsis Intelligent Image and Video Analytics by : El-Sayed M. El-Alfy

Download or read book Intelligent Image and Video Analytics written by El-Sayed M. El-Alfy and published by CRC Press. This book was released on 2023-04-12 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

Author: Nur Zincir-Heywood

Publisher: John Wiley & Sons

Published: 2021-10-12

Total Pages: 402

ISBN-13: 1119675502

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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.


Book Synopsis Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning by : Nur Zincir-Heywood

Download or read book Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning written by Nur Zincir-Heywood and published by John Wiley & Sons. This book was released on 2021-10-12 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Next-Generation Wireless Networks Meet Advanced Machine Learning Applications

Next-Generation Wireless Networks Meet Advanced Machine Learning Applications

Author: Com?a, Ioan-Sorin

Publisher: IGI Global

Published: 2019-01-25

Total Pages: 356

ISBN-13: 152257459X

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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.


Book Synopsis Next-Generation Wireless Networks Meet Advanced Machine Learning Applications by : Com?a, Ioan-Sorin

Download or read book Next-Generation Wireless Networks Meet Advanced Machine Learning Applications written by Com?a, Ioan-Sorin and published by IGI Global. This book was released on 2019-01-25 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Quality, Reliability, Security and Robustness in Heterogeneous Systems

Quality, Reliability, Security and Robustness in Heterogeneous Systems

Author: Lei Wang

Publisher: Springer

Published: 2018-03-28

Total Pages: 260

ISBN-13: 3319780786

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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.


Book Synopsis Quality, Reliability, Security and Robustness in Heterogeneous Systems by : Lei Wang

Download or read book Quality, Reliability, Security and Robustness in Heterogeneous Systems written by Lei Wang and published by Springer. This book was released on 2018-03-28 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Passive and Active Measurement

Passive and Active Measurement

Author: Oliver Hohlfeld

Publisher: Springer Nature

Published: 2021-03-29

Total Pages: 582

ISBN-13: 3030725820

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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.


Book Synopsis Passive and Active Measurement by : Oliver Hohlfeld

Download or read book Passive and Active Measurement written by Oliver Hohlfeld and published by Springer Nature. This book was released on 2021-03-29 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fractal Analysis - Applications and Updates

Fractal Analysis - Applications and Updates

Author: Sid-Ali Ouadfeul

Publisher: BoD – Books on Demand

Published: 2024-04-24

Total Pages: 204

ISBN-13: 1837696136

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This book includes ten chapters that discuss applications and updates in fractal analysis across the full spectrum of sciences, including mathematical concepts, cities, material physics, medicine, climate, and image processing. It is a valuable source of knowledge for researchers and students working on fractal analysis and its applications.


Book Synopsis Fractal Analysis - Applications and Updates by : Sid-Ali Ouadfeul

Download or read book Fractal Analysis - Applications and Updates written by Sid-Ali Ouadfeul and published by BoD – Books on Demand. This book was released on 2024-04-24 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes ten chapters that discuss applications and updates in fractal analysis across the full spectrum of sciences, including mathematical concepts, cities, material physics, medicine, climate, and image processing. It is a valuable source of knowledge for researchers and students working on fractal analysis and its applications.