Iee Colloquium On Ai For Network Management Systems

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Transforming Field and Service Operations

Author : Gilbert Owusu
Publisher : Springer Science & Business Media
ISBN 13 : 3642449700
Total Pages : 284 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Transforming Field and Service Operations by : Gilbert Owusu

Download or read book Transforming Field and Service Operations written by Gilbert Owusu and published by Springer Science & Business Media. This book was released on 2014-01-21 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The drive to realise operational efficiencies, improve customer service, develop new markets and accelerate the introduction of new products has substantially increased the complexity of field service operations. To maximise the efficiency and effectiveness of these operations, organisations have embarked on a wide range of transformation programmes that have sought to introduce automation through the use of workforce management technologies. Despite the potential business value that can be provided by such transformation programmes, too often, the automation technologies have not been fully utilised and their expected benefits have as such not been realised. Scholars of organisation change argue that the success of any transformation programme is a function of how well the technical, political, structural and social aspects of a specific project have been managed. The objective of this edited book is to provide insights into how organisations might successfully transform their field service operations with the help of workforce management technologies. Accordingly, the book is organised into four sections: Section A “The Case for Transforming Service and Field Operations” explains the rationale as to why organisations should actively consider transforming their service and field operations, while Section B presents various “Methods, Models and Enabling Technologies for Transforming Service and Field Operations”. In Section C, a number of “Case Studies” illustrate how new technologies can be applied to field and service operations to deliver concrete business benefits. Lastly, Section D considers “Challenges, Outcomes and Future Directions”. Overall, this book provides valuable insights into how to successfully transform field service operations with automated technologies. It draws on years of experience from different industries and from different perspectives on realising change. It is aimed at managers, technologists, change agents and scholars who are interested in field service operations in general and the use of advanced computing technologies in this area in particular.

Intelligent Systems and Soft Computing

Author : Behnam Azvine
Publisher : Springer
ISBN 13 : 3540449175
Total Pages : 372 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Intelligent Systems and Soft Computing by : Behnam Azvine

Download or read book Intelligent Systems and Soft Computing written by Behnam Azvine and published by Springer. This book was released on 2006-12-30 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together. This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.

AI and Machine Learning for Network and Security Management

Author : Yulei Wu
Publisher : John Wiley & Sons
ISBN 13 : 1119835879
Total Pages : 308 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis AI and Machine Learning for Network and Security Management by : Yulei Wu

Download or read book AI and Machine Learning for Network and Security Management written by Yulei Wu and published by John Wiley & Sons. This book was released on 2022-11-08 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in this thought-provoking work include: How cognitive means, e.g., knowledge transfer, can help with network and security management How different advanced AI and machine learning techniques can be useful and helpful to facilitate network automation How the introduced techniques can be applied to many other related network and security management tasks Network engineers, content service providers, and cybersecurity service providers can use AI and Machine Learning for Network and Security Management to make better and more informed decisions in their areas of specialization. Students in a variety of related study programs will also derive value from the work by gaining a base understanding of historical foundational knowledge and seeing the key recent developments that have been made in the field.

AI Technologies for Information Systems and Management Science

Author : Lalit Garg
Publisher : Springer Nature
ISBN 13 : 3031707893
Total Pages : 526 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis AI Technologies for Information Systems and Management Science by : Lalit Garg

Download or read book AI Technologies for Information Systems and Management Science written by Lalit Garg and published by Springer Nature. This book was released on with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fourth IEE Conference on Telecommunications, 18-21 April 1993

Author : Institution of Electrical Engineers. Electronics Division
Publisher :
ISBN 13 :
Total Pages : 738 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Fourth IEE Conference on Telecommunications, 18-21 April 1993 by : Institution of Electrical Engineers. Electronics Division

Download or read book Fourth IEE Conference on Telecommunications, 18-21 April 1993 written by Institution of Electrical Engineers. Electronics Division and published by . This book was released on 1993 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Smart Sensor Networks Using AI for Industry 4.0

Author : Soumya Ranjan Nayak
Publisher : CRC Press
ISBN 13 : 1000458512
Total Pages : 263 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Smart Sensor Networks Using AI for Industry 4.0 by : Soumya Ranjan Nayak

Download or read book Smart Sensor Networks Using AI for Industry 4.0 written by Soumya Ranjan Nayak and published by CRC Press. This book was released on 2021-10-10 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Sensor Networks (WSNs) using AI have left a mark on the lives of all by aiding in various sectors, such as manufacturing, education, healthcare, and monitoring of the environment and industries. This book covers recent AI applications and explores aspects of modern sensor technologies and the systems needed to operate them. The book reviews the fundamental concepts of gathering, processing, and analyzing different AI-based models and methods. It covers recent WSN techniques for the purpose of effective network management on par with the standards laid out by international organizations in related fields and focuses on both core concepts along with major applicational areas. The book will be used by technical developers, academicians, data sciences, industrial professionals, researchers, and students interested in the latest innovations on problem-oriented processing techniques in sensor networks using IoT and evolutionary computer applications for Industry 4.0.

Pattern Recognition and Data Analysis with Applications

Author : Deepak Gupta
Publisher : Springer Nature
ISBN 13 : 9811915202
Total Pages : 816 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Pattern Recognition and Data Analysis with Applications by : Deepak Gupta

Download or read book Pattern Recognition and Data Analysis with Applications written by Deepak Gupta and published by Springer Nature. This book was released on 2022-09-01 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG) and electromyogram (EMG).

AI, Edge and IoT-based Smart Agriculture

Author : Ajith Abraham
Publisher : Academic Press
ISBN 13 : 0128236957
Total Pages : 578 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis AI, Edge and IoT-based Smart Agriculture by : Ajith Abraham

Download or read book AI, Edge and IoT-based Smart Agriculture written by Ajith Abraham and published by Academic Press. This book was released on 2021-11-10 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. - Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management - Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection - Promotes the importance and uses in managing the agro ecosystem for food security - Emphasizes low energy usage options for low cost and environmental sustainability

Blockchain for 5G-Enabled IoT

Author : Sudeep Tanwar
Publisher : Springer Nature
ISBN 13 : 3030674908
Total Pages : 629 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Blockchain for 5G-Enabled IoT by : Sudeep Tanwar

Download or read book Blockchain for 5G-Enabled IoT written by Sudeep Tanwar and published by Springer Nature. This book was released on 2021-04-09 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses one of the most overlooked practical, methodological, and moral questions in the journey to secure and handle the massive amount of data being generated from smart devices interactions: the integration of Blockchain with 5G-enabled IoT. After an overview, this book discusses open issues and challenges, which may hinder the growth of Blockchain technology. Then, this book presents a variety of perspectives on the most pressing questions in the field, such as: how IoT can connect billions of objects together; how the access control mechanisms in 5G-enabled industrial environment works; how to address the real-time and quality-of-service requirements for industrial applications; and how to ensure scalability and computing efficiency. Also, it includes a detailed discussions on the complexity of adoption of Blockchain for 5G-Enabled IoT and presents comparative case studies with respect to various performance evaluation metrics such as scalability, data management, standardization, interoperability and regulations, accessibility, human-factors engineering and interfaces, reliability, heterogeneity, and QoS requirements. This book acts as a professional guide for the practitioners in information security and related topics.

Artificial Intelligence and Quantum Computing for Advanced Wireless Networks

Author : Savo G. Glisic
Publisher : John Wiley & Sons
ISBN 13 : 111979031X
Total Pages : 884 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Artificial Intelligence and Quantum Computing for Advanced Wireless Networks by : Savo G. Glisic

Download or read book Artificial Intelligence and Quantum Computing for Advanced Wireless Networks written by Savo G. Glisic and published by John Wiley & Sons. This book was released on 2022-04-13 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR ADVANCED WIRELESS NETWORKS A comprehensive presentation of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of artificial intelligence (AI) for planning network deployment, optimization, and dynamic control. Machine learning algorithms are now often used to predict traffic and network state in order to reserve resources for smooth communication with high reliability and low latency. In Artificial Intelligence and Quantum Computing for Advanced Wireless Networks, the authors deliver a practical and timely review of AI-based learning algorithms, with several case studies in both Python and R. The book discusses the game-theory-based learning algorithms used in decision making, along with various specific applications in wireless networks, like channel, network state, and traffic prediction. Additional chapters include Fundamentals of ML, Artificial Neural Networks (NN), Explainable and Graph NN, Learning Equilibria and Games, AI Algorithms in Networks, Fundamentals of Quantum Communications, Quantum Channel, Information Theory and Error Correction, Quantum Optimization Theory, and Quantum Internet, to name a few. The authors offer readers an intuitive and accessible path from basic topics on machine learning through advanced concepts and techniques in quantum networks. Readers will benefit from: A thorough introduction to the fundamentals of machine learning algorithms, including linear and logistic regression, decision trees, random forests, bagging, boosting, and support vector machines An exploration of artificial neural networks, including multilayer neural networks, training and backpropagation, FIR architecture spatial-temporal representations, quantum ML, quantum information theory, fundamentals of quantum internet, and more Discussions of explainable neural networks and XAI Examinations of graph neural networks, including learning algorithms and linear and nonlinear GNNs in both classical and quantum computing technology Perfect for network engineers, researchers, and graduate and masters students in computer science and electrical engineering, Artificial Intelligence and Quantum Computing for Advanced Wireless Networks is also an indispensable resource for IT support staff, along with policymakers and regulators who work in technology.

Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things

Author : Agbotiname Lucky Imoize
Publisher : CRC Press
ISBN 13 : 1000963268
Total Pages : 536 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things by : Agbotiname Lucky Imoize

Download or read book Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things written by Agbotiname Lucky Imoize and published by CRC Press. This book was released on 2023-10-25 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. This handbook addresses the increased need to tackle security issues and preserve patients’ privacy concerns in Artificial Intelligence of Medical Things (AIoMT) devices and systems. Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. The handbook takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of effi cient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues that affect all parties in the healthcare ecosystem and provides practical AI-based solutions. This handbook offers new and valuable information that will be highly beneficial to educators, researchers, and others. .

Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies

Author : Zhao, Jingyuan
Publisher : IGI Global
ISBN 13 : 1799868729
Total Pages : 570 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies by : Zhao, Jingyuan

Download or read book Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies written by Zhao, Jingyuan and published by IGI Global. This book was released on 2021-06-25 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, artificial intelligence (AI), the internet of things (IoT), and cognitive technologies have successfully been applied to various research domains, including computer vision, natural language processing, voice recognition, and more. In addition, AI with IoT has made a significant breakthrough and a shift in technical direction to achieve high efficiency and adaptability in a variety of new applications. On the other hand, network design and optimization for AI applications addresses a complementary topic, namely the support of AI-based systems through novel networking techniques, including new architectures, as well as performance models for IoT systems. IoT has paved the way to a plethora of new application domains, at the same time posing several challenges as a multitude of devices, protocols, communication channels, architectures, and middleware exist. Big data generated by these devices calls for advanced learning and data mining techniques to effectively understand, learn, and reason with this volume of information, such as cognitive technologies. Cognitive technologies play a major role in developing successful cognitive systems which mimic “cognitive” functions associated with human intelligence, such as “learning” and “problem solving.” Thus, there is a continuing demand for recent research in these two linked fields. The Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies discusses the latest innovations and applications of AI, IoT, and cognitive-based smart systems. The chapters cover the intersection of these three fields in emerging and developed economies in terms of their respective development situation, public policies, technologies and intellectual capital, innovation systems, competition and strategies, marketing and growth capability, and governance and relegation models. These applications span areas such as healthcare, security and privacy, industrial systems, multidisciplinary sciences, and more. This book is ideal for technologists, IT specialists, policymakers, government officials, academics, students, and practitioners interested in the experiences of innovations and applications of AI, IoT, and cognitive technologies.

AI-generated Content

Author : Feng Zhao
Publisher : Springer Nature
ISBN 13 : 9819975875
Total Pages : 377 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis AI-generated Content by : Feng Zhao

Download or read book AI-generated Content written by Feng Zhao and published by Springer Nature. This book was released on 2023-12-03 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the First International Conference, AIGC 2023, held in Shanghai, China, during August 25–26, 2023 The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The volume focuses on the remarkable strides that have been made in the realm of artificial intelligence and its transformative impact on content creation. As delving into the content of the proceedings, the readers will encounter cutting-edge research findings, innovative applications, and thought-provoking insights that underscore the transformative potential of AI-generated content.

Internet of Things for Smart Environments

Author : Gonçalo Marques
Publisher : Springer Nature
ISBN 13 : 3031097297
Total Pages : 137 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Internet of Things for Smart Environments by : Gonçalo Marques

Download or read book Internet of Things for Smart Environments written by Gonçalo Marques and published by Springer Nature. This book was released on 2022-09-16 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to introduce recent advances in IoT and its applications for smart environments. The state of the art is reviewed with a focus on the technologies, applications, challenges, and opportunities. At this stage, a comprehensive understanding of the formal and practical applications of IoT in the different scenarios of smart environments is necessary to support future research. Therefore, the main contribution of this book is a comprehensive study of the most recent proposals for smart environments. In addition, this book synthesizes existing information and highlights common threads and gaps that lead to new and complex areas of future research. The book covers a range of major research subjects which will foster future implementations. The topics include smart learning environments, crowdsensing applications, participatory citizen sensing, multimodal perception systems and security challenges. This book seeks to provide a valuable framework for future research projects by expounding the topic to academics, engineers, and industry professionals, which is necessary for the design of future IoT architectures for smart environments.

The 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024)

Author : Muhammad Younas
Publisher : Springer Nature
ISBN 13 : 3031731514
Total Pages : 138 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis The 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024) by : Muhammad Younas

Download or read book The 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024) written by Muhammad Younas and published by Springer Nature. This book was released on with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior

Author : Rigatos, Gerasimos
Publisher : IGI Global
ISBN 13 : 161520850X
Total Pages : 599 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior by : Rigatos, Gerasimos

Download or read book Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior written by Rigatos, Gerasimos and published by IGI Global. This book was released on 2010-06-30 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been growing interest in industrial systems, especially in robotic manipulators and mobile robot systems. As the cost of robots goes down and become more compact, the number of industrial applications of robotic systems increases. Moreover, there is need to design industrial systems with intelligence, autonomous decision making capabilities, and self-diagnosing properties. Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior analyzes current trends in industrial systems design, such as intelligent, industrial, and mobile robotics, complex electromechanical systems, fault diagnosis and avoidance of critical conditions, optimization, and adaptive behavior. This book discusses examples from major areas of research for engineers and researchers, providing an extensive background on robotics and industrial systems with intelligence, autonomy, and adaptive behavior giving emphasis to industrial systems design.

Crypto and AI

Author : Behrouz Zolfaghari
Publisher : Springer Nature
ISBN 13 : 3031448073
Total Pages : 229 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Crypto and AI by : Behrouz Zolfaghari

Download or read book Crypto and AI written by Behrouz Zolfaghari and published by Springer Nature. This book was released on 2023-11-14 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.