Artificial Intelligence To Solve Pervasive Internet Of Things Issues

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Artificial Intelligence to Solve Pervasive Internet of Things Issues

Author : Gurjit Kaur
Publisher : Academic Press
ISBN 13 : 012819698X
Total Pages : 430 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence to Solve Pervasive Internet of Things Issues by : Gurjit Kaur

Download or read book Artificial Intelligence to Solve Pervasive Internet of Things Issues written by Gurjit Kaur and published by Academic Press. This book was released on 2020-11-18 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others. Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies

Artificial Intelligence-based Internet of Things Systems

Author : Souvik Pal
Publisher : Springer
ISBN 13 : 9783030870614
Total Pages : 0 pages
Book Rating : 4.8/5 (76 download)

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Book Synopsis Artificial Intelligence-based Internet of Things Systems by : Souvik Pal

Download or read book Artificial Intelligence-based Internet of Things Systems written by Souvik Pal and published by Springer. This book was released on 2023-01-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.

Artificial Intelligence in IoT

Author : Fadi Al-Turjman
Publisher : Springer
ISBN 13 : 3030041107
Total Pages : 231 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence in IoT by : Fadi Al-Turjman

Download or read book Artificial Intelligence in IoT written by Fadi Al-Turjman and published by Springer. This book was released on 2019-02-12 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.

Smart Computing and Self-Adaptive Systems

Author : Simar Preet Singh
Publisher : CRC Press
ISBN 13 : 100050994X
Total Pages : 289 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Smart Computing and Self-Adaptive Systems by : Simar Preet Singh

Download or read book Smart Computing and Self-Adaptive Systems written by Simar Preet Singh and published by CRC Press. This book was released on 2021-12-19 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.

Intelligent Systems for IoE Based Smart Cities

Author : Arun Solanki
Publisher : Bentham Science Publishers
ISBN 13 : 9815124978
Total Pages : 299 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis Intelligent Systems for IoE Based Smart Cities by : Arun Solanki

Download or read book Intelligent Systems for IoE Based Smart Cities written by Arun Solanki and published by Bentham Science Publishers. This book was released on 2023-09-27 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Systems for IoE Based Smart Cities provides simplified information about complexities of cyber physical systems, the Internet of Everything (IoE) and smart city infrastructure. It presents 11 edited chapters that reveal how intelligent systems and IoE are driving the evolution of smart cities, making them more efficient, interconnected, and responsive to the needs of citizens. The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations. Key Topics: Physical layer design considerations that underpin smart city infrastructure Enabling technologies for intelligent systems within the context of smart computing environments Smart sensors and actuators, their applications, challenges, and future trends in IoE-based smart cities Applications, enabling technologies, challenges, and future trends of IoE for smart cities. The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiences machine learning-based intrusion detection techniques for countering attacks on the Internet of Vehicles Smartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystems IoT, blockchain, and cloud-based technology for secure frameworks and data analytics Blockchain and smart contracts in shaping the future of smart cities. This is a timely reference for researchers, professionals, and students interested in the convergence IoT, intelligent systems and urban studies into smart city planning and design.

Green Communication Technologies for Future Networks

Author : Gurjit Kaur
Publisher : CRC Press
ISBN 13 : 1000761266
Total Pages : 301 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Green Communication Technologies for Future Networks by : Gurjit Kaur

Download or read book Green Communication Technologies for Future Networks written by Gurjit Kaur and published by CRC Press. This book was released on 2022-10-31 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores all the energy-efficient communication technologies used for various communication systems and every aspect of these systems, such as green electronics, network protocols, handover, codes, antenna, and the role of artificial intelligence and IoT, including the energy management strategies. It identifies the development of sustainable plans and programs at the communication level within the current legislative framework. Features: Gives a fundamental description of the green communications including granularities of green wired and wireless systems. Describes a comprehensive review of innovations, challenges, and opportunities for green communication. Provides guiding principles on how to build the green communication network. Includes a holistic view of both wireless and wired green communication systems with an emphasis on applications and challenges in each area. Suggests various ways of benchmarking and measuring the performance of green communication systems. This book will be of great interest to graduate students and researchers in green technologies, communications, wireless communication, optical communication, underwater communication, microwave and satellite communication, networking, the internet of things, and energy management.

Semantic Web Technologies and Applications in Artificial Intelligence of Things

Author : Ortiz-Rodriguez, Fernando
Publisher : IGI Global
ISBN 13 :
Total Pages : 502 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Semantic Web Technologies and Applications in Artificial Intelligence of Things by : Ortiz-Rodriguez, Fernando

Download or read book Semantic Web Technologies and Applications in Artificial Intelligence of Things written by Ortiz-Rodriguez, Fernando and published by IGI Global. This book was released on 2024-05-16 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of this synergy extends far beyond the realms of industry, research, and society; it shapes the very fabric of our future. Semantic Web Technologies and Applications in Artificial Intelligence of Things is a meticulously crafted reference that not only acknowledges this significance but also serves as a guide for those navigating the complexities of Industry 4.0 and AIoT. This curated compendium of cutting-edge technologies acts as a veritable knowledge base for future developments. As academics, scholars, and industry professionals, the ideal audience of this book, will find meticulously curated content that caters to their diverse interests and expertise, covering topics ranging from smart agriculture, manufacturing, industry, health sciences, and government. Seasoned academics, students, and visionary industry leaders, will find this book to be an indispensable guide that paves the way for innovation and progress.

Artificial Intelligence and Machine Learning for Smart Community

Author : T V Ramana
Publisher : CRC Press
ISBN 13 : 1003835716
Total Pages : 182 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence and Machine Learning for Smart Community by : T V Ramana

Download or read book Artificial Intelligence and Machine Learning for Smart Community written by T V Ramana and published by CRC Press. This book was released on 2024-01-26 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.

Sustainable Development in AI, Blockchain, and E-Governance Applications

Author : Kumar, Rajeev
Publisher : IGI Global
ISBN 13 :
Total Pages : 295 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Sustainable Development in AI, Blockchain, and E-Governance Applications by : Kumar, Rajeev

Download or read book Sustainable Development in AI, Blockchain, and E-Governance Applications written by Kumar, Rajeev and published by IGI Global. This book was released on 2024-02-09 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments. Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications.

Information and Communication Technology for Competitive Strategies (ICTCS 2022)

Author : M. Shamim Kaiser
Publisher : Springer Nature
ISBN 13 : 9811993041
Total Pages : 793 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Information and Communication Technology for Competitive Strategies (ICTCS 2022) by : M. Shamim Kaiser

Download or read book Information and Communication Technology for Competitive Strategies (ICTCS 2022) written by M. Shamim Kaiser and published by Springer Nature. This book was released on 2023-06-16 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains best selected research papers presented at ICTCS 2022: Seventh International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Chandigarh, India, during December 9–10, 2022. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in two volumes.

Swarm Intelligence for Resource Management in Internet of Things

Author : Aboul Ella Hassanien
Publisher : Academic Press
ISBN 13 : 0128182881
Total Pages : 192 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Swarm Intelligence for Resource Management in Internet of Things by : Aboul Ella Hassanien

Download or read book Swarm Intelligence for Resource Management in Internet of Things written by Aboul Ella Hassanien and published by Academic Press. This book was released on 2020-08-18 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of Things (IoT) is a new platform of various physical objects or “things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things Discusses intelligent techniques for the implementation of swarm intelligence in IoT Prepared for researchers and specialists who are interested in the use and integration of IoT and cloud computing technologies

Smart and Sustainable Operations and Supply Chain Management in Industry 4.0

Author : Turan Paksoy
Publisher : CRC Press
ISBN 13 : 1000846830
Total Pages : 459 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 by : Turan Paksoy

Download or read book Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 written by Turan Paksoy and published by CRC Press. This book was released on 2023-03-08 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart applications are transforming conventional supply chains into digital ones. To compete in today’s competitive market, organizations must utilize the merits of the Fourth Industrial Revolution while being sustainable, lean, and eco-conscious. Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 closes the gap and provides novel ideas, research, and applications. This book discusses smart and sustainable supply chain management concepts that are analyzed within the Industry 4.0 perspective. It also highlights green systems and smart applications within an Industry 4.0 setting. The book presents the latest technological developments, including disruptive technologies and their impact on smart and sustainable supply chains under the triple bottom line approach. For easy reader comprehension, each chapter will include a case study, a related problem, or a numerical example, as well as the solution. This book is written for academicians, practitioners, PhD students, and researchers involved in this area.

Data-Driven Farming

Author : Syed Nisar Hussain Bukhari
Publisher : CRC Press
ISBN 13 : 1040037232
Total Pages : 301 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Data-Driven Farming by : Syed Nisar Hussain Bukhari

Download or read book Data-Driven Farming written by Syed Nisar Hussain Bukhari and published by CRC Press. This book was released on 2024-06-13 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.

Intelligence of Things: AI-IoT Based Critical-Applications and Innovations

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 303082800X
Total Pages : 244 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligence of Things: AI-IoT Based Critical-Applications and Innovations by : Fadi Al-Turjman

Download or read book Intelligence of Things: AI-IoT Based Critical-Applications and Innovations written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2021-10-28 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent technologies that explore artificial intelligence (AI) and its scope in Internet of Things (IoT) enabled areas for productivity and the betterment of society. The book aims at targeting audiences of several disciplines to share research, suggest solutions, and future trends in the field of AI using IoT. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both aspects to give a holistic understanding of the AI paradigm for IoT. The book focuses on timely topics related to the field of AI enabled IoT applications at large. The book consists of four major parts: fundamentals, theoretical discussion, critical applications, and the learning algorithms. These contents shall include the basics, types, tools, and techniques of AI. Finally, applications of AI enabled IoT in several areas are presented including health, security, climate change, agricultural engineering, bioinformatics, biomedicine, smart applications, natural language processing, social and economic implications of AI enabled IoT, as well as robotics, sustainability, risk management, seismic data processing, smart grid management, text analysis, security, privacy, and ethics.

Impact of Digital Transformation on the Development of New Business Models and Consumer Experience

Author : Rodrigues, Maria Antónia
Publisher : IGI Global
ISBN 13 : 179989181X
Total Pages : 347 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Impact of Digital Transformation on the Development of New Business Models and Consumer Experience by : Rodrigues, Maria Antónia

Download or read book Impact of Digital Transformation on the Development of New Business Models and Consumer Experience written by Rodrigues, Maria Antónia and published by IGI Global. This book was released on 2022-03-11 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a highly competitive market, digital transformation with internet of things, artificial intelligence, and other innovative technological trends are elements of differentiations and are important milestones in business development and consumer interaction, particularly in services. As a result, there are several new business models anchored in these digital and technological environments and new experiences provided to services consumers and firms that need to be examined. Impact of Digital Transformation on the Development of New Business Models and Consumer Experience provides relevant theoretical and empirical research findings and innovative and multifaceted perspectives on how digital transformation and other innovative technologies can drive new business models and create valued experiences for consumers and firms. Covering topics such as business models, consumer behavior, and gamification, this publication is ideal for industry professionals, managers, business owners, practitioners, researchers, professors, academicians, and students.

Collective Intelligence for Smart Cities

Author : Chun HO WU
Publisher : Elsevier
ISBN 13 : 0128202750
Total Pages : 248 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Collective Intelligence for Smart Cities by : Chun HO WU

Download or read book Collective Intelligence for Smart Cities written by Chun HO WU and published by Elsevier. This book was released on 2022-05-26 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the field, the book delves deeply into key smart city developments such as health and well-being, transportation, safety, energy, environment and sustainability. In addition, the book focuses on the role of IoT cloud computing and big data, specifically in smart city development. Users will find a unique, overarching perspective that ties together these concepts based on collective intelligence, a concept for quantifying mass activity familiar to many social science and life science researchers.Sections explore how group decision-making emerges from the consensus of the collective, collaborative and competitive activities of many individuals, along with future perspectives. Provides collective intelligence-based solutions to enhance smart city well-being Recommends strategies to ensure smart city sustainability and optimization, including smart transportation Considers cloud-based data processing approaches for managing data collected from smart city applications Uses case studies to shows successful application in a variety of smart city contexts

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems

Author : Pardeep Kumar
Publisher : Springer Nature
ISBN 13 : 3030766535
Total Pages : 462 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems by : Pardeep Kumar

Download or read book A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems written by Pardeep Kumar and published by Springer Nature. This book was released on 2021-08-23 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.