Swarm Intelligence for Resource Management in Internet of Things Book

Swarm Intelligence for Resource Management in Internet of Things


  • Author : Aboul Ella Hassanien
  • Publisher : Academic Press
  • Release Date : 2020-08-18
  • Genre: Science
  • Pages : 192
  • ISBN 10 : 9780128182888

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Swarm Intelligence for Resource Management in Internet of Things 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

Advanced Deep Learning Applications in Big Data Analytics Book

Advanced Deep Learning Applications in Big Data Analytics


  • Author : Bouarara, Hadj Ahmed
  • Publisher : IGI Global
  • Release Date : 2020-10-16
  • Genre: Computers
  • Pages : 351
  • ISBN 10 : 9781799827931

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Advanced Deep Learning Applications in Big Data Analytics Excerpt :

Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today’s digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.

Recent Trends in Computational Intelligence Enabled Research Book

Recent Trends in Computational Intelligence Enabled Research


  • Author : Siddhartha Bhattacharyya
  • Publisher : Academic Press
  • Release Date : 2021-07-31
  • Genre: Computers
  • Pages : 418
  • ISBN 10 : 9780323851794

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Recent Trends in Computational Intelligence Enabled Research Excerpt :

The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence

Swarm Intelligence Optimization Book

Swarm Intelligence Optimization


  • Author : Abhishek Kumar
  • Publisher : John Wiley & Sons
  • Release Date : 2021-01-13
  • Genre: Computers
  • Pages : 384
  • ISBN 10 : 9781119778745

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Swarm Intelligence Optimization Excerpt :

Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.

Artificial Intelligence to Solve Pervasive Internet of Things Issues Book

Artificial Intelligence to Solve Pervasive Internet of Things Issues


  • Author : Gurjit Kaur
  • Publisher : Academic Press
  • Release Date : 2020-11-18
  • Genre: Science
  • Pages : 428
  • ISBN 10 : 9780128196984

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Artificial Intelligence to Solve Pervasive Internet of Things Issues 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

Convergence of Artificial Intelligence and the Internet of Things Book

Convergence of Artificial Intelligence and the Internet of Things


  • Author : George Mastorakis
  • Publisher : Springer Nature
  • Release Date : 2020-05-06
  • Genre: Computers
  • Pages : 439
  • ISBN 10 : 9783030449070

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Convergence of Artificial Intelligence and the Internet of Things Excerpt :

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

Artificial Intelligence for the Internet of Health Things Book

Artificial Intelligence for the Internet of Health Things


  • Author : K. Shankar
  • Publisher : CRC Press
  • Release Date : 2021-05-10
  • Genre: Computers
  • Pages : 216
  • ISBN 10 : 9781000374292

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Artificial Intelligence for the Internet of Health Things Excerpt :

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare data K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Artificial Intelligence Systems and the Internet of Things in the Digital Era Book

Artificial Intelligence Systems and the Internet of Things in the Digital Era


  • Author : Abdalmuttaleb M.A Musleh Al-Sartawi
  • Publisher : Springer Nature
  • Release Date : 2021-05-28
  • Genre: Technology & Engineering
  • Pages : 536
  • ISBN 10 : 9783030772468

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Artificial Intelligence Systems and the Internet of Things in the Digital Era Excerpt :

This book brings together intelligence systems and the Internet of Things, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI and IoT to develop future strategies and to achieve sustainability goals. EAMMIS 2021 was organized by the Bridges Foundation in cooperation with the Istanbul Medeniyet University, Istanbul, Turkey, on March 19–20, 2021. EAMMIS 2021 theme was Artificial Intelligence Systems and the Internet of Things in the digital era. The papers presented at the conference provide a holistic view of AI education, MIS, cybersecurity, blockchain, Internet of Ideas (IoI), and knowledge management.

Artificial Intelligence based Internet of Things Systems Book

Artificial Intelligence based Internet of Things Systems


  • Author : Souvik Pal
  • Publisher : Springer Nature
  • Release Date : 2022-01-11
  • Genre: Technology & Engineering
  • Pages : 509
  • ISBN 10 : 9783030870591

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Artificial Intelligence based Internet of Things Systems 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.

Blockchain  Internet of Things  and Artificial Intelligence Book

Blockchain Internet of Things and Artificial Intelligence


  • Author : Naveen Chilamkurti
  • Publisher : CRC Press
  • Release Date : 2021-04-02
  • Genre: Computers
  • Pages : 351
  • ISBN 10 : 9781000359510

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Blockchain Internet of Things and Artificial Intelligence Excerpt :

Blockchain, Internet of Things, and Artificial Intelligence provides an integrated overview and technical description of the fundamental concepts of blockchain, IoT, and AI technologies. State-of-the-art techniques are explored in depth to discuss the challenges in each domain. The convergence of these revolutionized technologies has leveraged several areas that receive attention from academicians and industry professionals, which in turn promotes the book's accessibility more extensively. Discussions about an integrated perspective on the influence of blockchain, IoT, and AI for smart cities, healthcare, and other business sectors illuminate the benefits and opportunities in the ecosystems worldwide. The contributors have focused on real-world examples and applications and highlighted the significance of the strengths of blockchain to transform the readers’ thinking toward finding potential solutions. The faster maturity and stability of blockchain is the key differentiator in artificial intelligence and the Internet of Things. This book discusses their potent combination in realizing intelligent systems, services, and environments. The contributors present their technical evaluations and comparisons with existing technologies. Theoretical explanations and experimental case studies related to real-time scenarios are also discussed. FEATURES Discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information Elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches Offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas Presents readers with ways of employing blockchain in IoT and AI, helping them to unde

Artificial Intelligence and Internet of Things for Renewable Energy Systems Book

Artificial Intelligence and Internet of Things for Renewable Energy Systems


  • Author : Neeraj Priyadarshi
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2021-11-22
  • Genre: Computers
  • Pages : 318
  • ISBN 10 : 9783110714043

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Artificial Intelligence and Internet of Things for Renewable Energy Systems Excerpt :

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

Resource Management for Internet of Things Book

Resource Management for Internet of Things


  • Author : Flávia C. Delicato
  • Publisher : Springer
  • Release Date : 2017-03-30
  • Genre: Computers
  • Pages : 116
  • ISBN 10 : 9783319542478

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Resource Management for Internet of Things Excerpt :

This book investigates the pressing issue of resource management for Internet of Things (IoT). The unique IoT ecosystem poses new challenges and calls for unique and bespoke solutions to deal with these challenges. Using a holistic approach, the authors present a thorough study into the allocation of the resources available within IoT systems to accommodate application requirements. This is done by investigating different functionalities and architectural approaches involved in a basic workflow for managing the lifecycle of resources in an IoT system. Resource Management for the Internet of Things will be of interest to researchers and students as well as professional developers interested in studying the IoT paradigm from data acquisition to the delivery of value-added services for the end user.

Blockchain  Artificial Intelligence  and the Internet of Things Book

Blockchain Artificial Intelligence and the Internet of Things


  • Author : Pethuru Raj
  • Publisher : Springer Nature
  • Release Date : 2021-11-22
  • Genre: Computers
  • Pages : 213
  • ISBN 10 : 9783030776374

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Blockchain Artificial Intelligence and the Internet of Things Excerpt :

This book provides basic concepts and deep knowledge about various security mechanisms that can be implemented in IoT through Blockchain technology. This book aids readers in gaining insight and knowledge about providing security and solutions to different challenges in IoT using Blockchain technology. This book primarily focuses on challenges to addressing the integration of the IoT with Blockchain with respect to potential benefits for IoT. This book gives descriptive analysis of Blockchain integrated with IoT applications and platforms for the development of IoT solutions along with possible topologies to that integration. Several application examples are included in a variety of industries.

Artificial Intelligence and Internet of Things Book

Artificial Intelligence and Internet of Things


  • Author : Lalit Mohan Goyal
  • Publisher : CRC Press
  • Release Date : 2021-08-25
  • Genre: Technology & Engineering
  • Pages : 398
  • ISBN 10 : 9781000386257

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Artificial Intelligence and Internet of Things Excerpt :

This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.

Handbook of Research on Artificial Intelligence in Human Resource Management Book

Handbook of Research on Artificial Intelligence in Human Resource Management


  • Author : Strohmeier, Stefan
  • Publisher : Edward Elgar Publishing
  • Release Date : 2022-03-08
  • Genre: Business & Economics
  • Pages : 416
  • ISBN 10 : 9781839107535

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Handbook of Research on Artificial Intelligence in Human Resource Management Excerpt :

This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.