Communication Networks And Service Management In The Era Of Artificial Intelligence And Machine Learning
DOWNLOAD
Download Communication Networks And Service Management In The Era Of Artificial Intelligence And Machine Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Communication Networks And Service Management In The Era Of Artificial Intelligence And Machine Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Communication Networks And Service Management In The Era Of Artificial Intelligence And Machine Learning
DOWNLOAD
Author : Nur Zincir-Heywood
language : en
Publisher: John Wiley & Sons
Release Date : 2021-10-12
Communication Networks And Service Management In The Era Of Artificial Intelligence And Machine Learning written by Nur Zincir-Heywood and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-12 with Technology & Engineering categories.
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.
Communication Networks And Service Management In The Era Of Artificial Intelligence And Machine Learning
DOWNLOAD
Author : Nur Zincir-Heywood
language : en
Publisher: John Wiley & Sons
Release Date : 2021-09-03
Communication Networks And Service Management In The Era Of Artificial Intelligence And Machine Learning written by Nur Zincir-Heywood and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-03 with Technology & Engineering categories.
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.
An Introduction To Machine Learning
DOWNLOAD
Author : Vineeta Shrivastava
language : en
Publisher: Blue Rose Publishers
Release Date : 2023-02-06
An Introduction To Machine Learning written by Vineeta Shrivastava and has been published by Blue Rose Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-06 with Computers categories.
The First Edition of the book ''An Introduction to Machine Learning'' combines theory and practice, explaining important methods such as classical linear and logistic regression, deep learning, and neural network with a detailed explanation, all variants of models, suitable examples, and Python code snippets.
Advances In Artificial Intelligence And Electronic Design Technologies
DOWNLOAD
Author : Zahereel Ishwar Abdul Khalib
language : en
Publisher: Springer Nature
Release Date : 2025-04-15
Advances In Artificial Intelligence And Electronic Design Technologies written by Zahereel Ishwar Abdul Khalib and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-15 with Computers categories.
This book showcases innovative approaches driving advancements in relevant fields such as smart manufacturing, Industry 5.0, and robotics. This edition of the Springer Studies in Computational Intelligence (SCI) Series explores cutting-edge applications of computational intelligence. Designed for engineers, industry professionals, and applied researchers, this book effectively bridges theory and real-world implementation. Through a diverse collection of case studies and practical examples, readers will discover how computational intelligence techniques solve complex challenges across various sectors. The book offers actionable deployment strategies, empowering professionals to apply these concepts in their fields. This book cultivates a holistic approach to innovation and problem-solving by synthesizing diverse perspectives within computational intelligence. This book is an essential resource for practitioners and researchers. It features hands-on implementation insights, comprehensive coverage of emerging trends, and a focus on industry-relevant techniques. It equips readers with the knowledge and tools to harness computational intelligence, tackle real-world challenges, and drive meaningful progress in their respective domains. This book contains 50 papers pertaining to the abovementioned topics, providing a rich and diverse exploration of computational intelligence applications and methodologies.
Optimization And Computing Using Intelligent Data Driven Approaches For Decision Making
DOWNLOAD
Author : Irfan Ali
language : en
Publisher: CRC Press
Release Date : 2024-12-26
Optimization And Computing Using Intelligent Data Driven Approaches For Decision Making written by Irfan Ali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Technology & Engineering categories.
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility. This book: Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing Presents a comparative analysis of machine learning algorithms for power consumption prediction Discusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environment Illustrates a data-driven optimization concept for modeling environmental and economic sustainability Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.
Blockchain Metaverse And Digital Payments
DOWNLOAD
Author : Aijaz A. Shaikh
language : en
Publisher: Taylor & Francis
Release Date : 2024-10-21
Blockchain Metaverse And Digital Payments written by Aijaz A. Shaikh and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-21 with Business & Economics categories.
Blockchain, metaverse, and digital payment technologies, collectively called digital ecosystem, have received much attention from academia, regulators, and industry alike. However, their usage across various sub-sectors of the economy and industry is slow, and deployment is still largely experimental. Due to its secure nature, many industrial players including banking and payment firms are looking for ways on using blockchain to develop consumer confidence and trust in the digital payments for wider adoptability and use. This book provides an in-depth and relevant overview of the main theories, frameworks, technologies and innovations, institutional structures or regulations (GDPR, PSD2), and empirical research that investigates users’ perspectives on blockchain technologies, metaverse, and digital payments. With chapters from international contributors, the book presents historical and contemporary developments, innovations, laws and legislation, research, and analysis using qualitative, quantitative, and mixed-method approaches to the adoption and continuous usage of these technologies and platforms. This timely collection offers valuable insights and empirical findings for bank executives, regulators, payment associations (VISA, MasterCard, etc.), policymakers, FinTech, BigTech, and start-up leaders who express interest in blockchain, metaverse, digital payments, as well as academia and researchers in the fields of business management, digital economy, digital technologies, and digital marketing.
Applications Of Machine Learning In Wireless Communications
DOWNLOAD
Author : Ruisi He
language : en
Publisher: Institution of Engineering and Technology
Release Date : 2019-06-20
Applications Of Machine Learning In Wireless Communications written by Ruisi He and has been published by Institution of Engineering and Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-20 with Technology & Engineering categories.
Machine learning explores the study and development of algorithms that can learn from and make predictions and decisions based on data. Applications of machine learning in wireless communications have been receiving a lot of attention, especially in the era of big data and IoT, where data mining and data analysis technologies are effective approaches to solving wireless system evaluation and design issues.
Future Proof Accounting
DOWNLOAD
Author : Mfon Akpan
language : en
Publisher: Emerald Group Publishing
Release Date : 2024-07-19
Future Proof Accounting written by Mfon Akpan and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Business & Economics categories.
Future-Proof Accounting: Data and Technology Strategies equips accounting students, professors, and industry experts with the knowledge needed to navigate the dynamic realm of accounting.
Artificial Intelligence For Autonomous Networks
DOWNLOAD
Author : Mazin Gilbert
language : en
Publisher: CRC Press
Release Date : 2018-09-25
Artificial Intelligence For Autonomous Networks written by Mazin Gilbert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 with Computers categories.
Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.
Strategic Innovations Of Ai And Ml For E Commerce Data Security
DOWNLOAD
Author : Kaur, Gaganpreet
language : en
Publisher: IGI Global
Release Date : 2024-09-13
Strategic Innovations Of Ai And Ml For E Commerce Data Security written by Kaur, Gaganpreet and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-13 with Business & Economics categories.
As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers.