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Networked Artificial Intelligence


Networked Artificial Intelligence
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Artificial Intelligence For Autonomous Networks


Artificial Intelligence For Autonomous Networks
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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.



Networked Artificial Intelligence


Networked Artificial Intelligence
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Author : Radhika Ranjan Roy
language : en
Publisher: CRC Press
Release Date : 2024-10-30

Networked Artificial Intelligence written by Radhika Ranjan Roy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Technology & Engineering categories.


The integration of fifth generation (5G) wireless technologies with distributed artificial intelligence (AI) is transforming network operations. AI is increasingly embedded in all network elements, from cloud and edge to terminal devices, enabling AI to function as a networking system. This convergence facilitates AI-based applications across the global network, with notable successes in various domains such as computer vision, natural language processing, and healthcare. Networked Artificial Intelligence: AI-Enabled 5G Networking a comprehensive framework for the deep integration of computing and communications, optimizing networks and applications as a unified system using AI. The book covers topics ranging from networked AI fundamentals to AI-enabled 5G networks, including agent modeling, machine learning (ML) algorithms, and network protocol architectures. It discusses how network service providers can leverage AI and ML techniques to customize network baselines, reduce noise, and accurately identify issues. It also looks at AI-driven networks that enable self-correction for maximum uptime and prescriptive actions for issue resolution, as well as troubleshooting by capturing and storing data before network events. The book presents a comprehensive approach to AI-enabled networking that offers unprecedented opportunities for efficiency, reliability, and innovation in telecommunications. It works through the approach’s five steps of connection, communication, collaboration, curation, and community. These steps enhance network effects, empowering operators with insights for trusted automation, cost reduction, and optimal user experiences. The book also discusses AI and ML capabilities that enable networks to continuously learn, self-optimize, and predict and rectify service degradations proactively, even with full automation.



Web Artificial Intelligence And Network Applications


Web Artificial Intelligence And Network Applications
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Author : Leonard Barolli
language : en
Publisher: Springer
Release Date : 2019-03-15

Web Artificial Intelligence And Network Applications written by Leonard Barolli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Technology & Engineering categories.


The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of Web Computing, Intelligent Systems and Internet Computing. As the Web has become a major source of information, techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play key roles in many of today’s prominent Web applications such as e-commerce and computer security. Moreover, the outcome of Web services delivers a new platform for enabling service-oriented systems. The emergence of large scale distributed computing paradigms, such as Cloud Computing and Mobile Computing Systems, has opened many opportunities for collaboration services, which are at the core of any Information System. Artificial Intelligence (AI) is an area of computer science that build intelligent systems and algorithms that work and react like humans. The AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning. They have the potential to become enabling technologies for the future intelligent networks. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important for the future development and innovation of Web and Internet applications.



Artificial Intelligence In Wireless Robotics


Artificial Intelligence In Wireless Robotics
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Author : Kwang-Cheng Chen
language : en
Publisher: CRC Press
Release Date : 2022-09-01

Artificial Intelligence In Wireless Robotics written by Kwang-Cheng Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Computers categories.


Robots, autonomous vehicles, unmanned aerial vehicles, and smart factory, will significantly change human living style in digital society. Artificial Intelligence in Wireless Robotics introduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems. The technical contents of this book include fundamental knowledge in robotics, cyber-physical systems, artificial intelligence, statistical decision and Markov decision process, reinforcement learning, state estimation, localization, computer vision and multi-modal data fusion, robot planning, multi-agent systems, networked multi-agent systems, security and robustness of networked robots, and ultra-reliable and low-latency machine-to-machine networking. Examples and exercises are provided for easy and effective comprehension. Engineers wishing to extend knowledge in the robotics, AI, and wireless communications, would be benefited from this book. In the meantime, the book is ready as a textbook for senior undergraduate students or first-year graduate students in electrical engineering, computer engineering, computer science, and general engineering students. The readers of this book shall have basic knowledge in undergraduate probability and linear algebra, and basic programming capability, in order to enjoy deep reading.



Artificial Intelligence Based 6g Networking


Artificial Intelligence Based 6g Networking
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Author : Radhika Ranjan Roy
language : en
Publisher: CRC Press
Release Date : 2024-12-20

Artificial Intelligence Based 6g Networking written by Radhika Ranjan Roy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-20 with Technology & Engineering categories.


Artificial Intelligence-Based 6G Networking focuses exclusively on the upcoming sixth-generation (6G) network and services slated for implementation by 2030. It explores the paradigm shift that is 6G. It discusses the deep integration of computing and communication, supported by artificial intelligence (AI) across network elements like cloud, edge, and terminals. It also examines how AI-native interfaces will permeate various network components, from radio access networks to application servers and databases. Proposing a unified AI-enabled framework for optimizing networks and applications as a single integrated system, the book covers how network service providers can tailor network baselines, reduce noise, and accurately identify issues. The book delves into the potential of AI-driven networks to self-correct, predict, and rectify service degradations proactively, enhancing uptime and troubleshooting efficiency. It outlines the “Connection, Communication, Collaboration, Curation, and Community” framework to enhance network effects, aiding operators in automation, cost reduction, and providing optimal user experiences. Covering topics from MIMO and Massive MIMO to holographic communications, cybersecurity and quantum communications, the book explores cutting-edge technologies shaping the future of 6G networks. It anticipates a future where AI, along with machine learning and deep learning, enables continuous learning, self-optimization, and predictive maintenance, even with full automation, that will be the hallmark of a new era in network connectivity and innovation.



Artificial Intelligent Techniques For Wireless Communication And Networking


Artificial Intelligent Techniques For Wireless Communication And Networking
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Author : R. Kanthavel
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-24

Artificial Intelligent Techniques For Wireless Communication And Networking written by R. Kanthavel 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 2022-02-24 with Computers categories.


ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.



Multidisciplinary Applications Of Ai And Quantum Networking


Multidisciplinary Applications Of Ai And Quantum Networking
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Author : Ananth, Christo
language : en
Publisher: IGI Global
Release Date : 2024-10-17

Multidisciplinary Applications Of Ai And Quantum Networking written by Ananth, Christo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Computers categories.


The multidisciplinary applications of artificial intelligence (AI) and quantum networking drive transformations across various fields, providing new technology, scientific discoveries, and industry improvements. AI's capability to analyze and interpret data along with quantum networking's secure communication, enables breakthroughs in sectors such as healthcare, finance, and logistics. Continued research into this integration may offer opportunities for innovative models and simulations, improved decision-making, and the development of interdisciplinary collaboration. Multidisciplinary Applications of AI and Quantum Networking explores the application of artificial intelligence and quantum computing across multiple industries, disciplines, and sectors. A variety of intelligent tools and technologies like machine learning, networks, augmented and virtual technology, and artificial intelligence are examined for their usefulness in business, medicine, engineering, marketing, and infrastructure. This book covers topics such as quantum computing, intrusion detection, and web technologies, and is a useful resource for computer engineers, business owners, security professionals, researchers, scientists, and academicians.



Intelligent Wireless Communications


Intelligent Wireless Communications
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Author : George Mastorakis
language : en
Publisher: IET
Release Date : 2021-04-21

Intelligent Wireless Communications written by George Mastorakis and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-21 with Science categories.


Aimed at researchers, engineers and scientists involved in the design and development of protocols and AI applications for wireless communication devices and networks, this edited book presents recent research and innovations in emerging AI methods and AI-powered mechanisms, and future perspectives in this field.



Ai For Emerging Verticals


Ai For Emerging Verticals
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Author : Muhammad Zeeshan Shakir
language : en
Publisher: Institution of Engineering and Technology
Release Date : 2020-12-04

Ai For Emerging Verticals written by Muhammad Zeeshan Shakir 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 2020-12-04 with Computers categories.


By specializing in a vertical market, companies can better understand their customers and bring more insight to clients in order to become an integral part of their businesses. This approach requires dedicated tools, which is where artificial intelligence (AI) and machine learning (ML) will play a major role. By adopting AI software and services, businesses can create predictive strategies, enhance their capabilities, better interact with customers, and streamline their business processes.



Software Engineering Artificial Intelligence Networking And Parallel Distributed Computing 2010


Software Engineering Artificial Intelligence Networking And Parallel Distributed Computing 2010
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Author : Roger Lee
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-10-01

Software Engineering Artificial Intelligence Networking And Parallel Distributed Computing 2010 written by Roger Lee and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-01 with Computers categories.


th The purpose of the 11 Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2010) held on June 9 – 11, 2010 in London, United Kingdom was to bring together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 15 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In Chapter 1, Cai Luyuan et al. Present a new method of shape decomposition based on a refined morphological shape decomposition process. In Chapter 2, Kazunori Iwata et al. propose a method for reducing the margin of error in effort and error prediction models for embedded software development projects using artificial neural networks (ANNs). In Chapter 3, Viliam Šimko et al. describe a model-driven tool that allows system code to be generated from use-cases in plain English. In Chapter 4, Abir Smiti and Zied Elouedi propose a Case Base Maintenance (CBM) method that uses machine learning techniques to preserve the maximum competence of a system. In Chapter 5, Shagufta Henna and Thomas Erlebach provide a simulation based analysis of some widely used broadcasting schemes within mobile ad hoc networks (MANETs) and propose adaptive extensions to an existing broadcasting algorithm.