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Artificial Intelligence to Solve Pervasive Internet of Things Issues

Artificial Intelligence to Solve Pervasive Internet of Things Issues
A Book

by Gurjit Kaur,Pradeep Tomar,Marcus Tanque

  • Publisher : Academic Press
  • Release : 2020-11-18
  • Pages : 428
  • ISBN : 012819698X
  • Language : En, Es, Fr & De
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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

Smart Computing and Self-Adaptive Systems

Smart Computing and Self-Adaptive Systems
A Book

by Simar Preet Singh,Arun Solanki,Anju Sharma,Zdzislaw Polkowski,Rajesh Kumar

  • Publisher : CRC Press
  • Release : 2021-12-20
  • Pages : 288
  • ISBN : 1000509974
  • Language : En, Es, Fr & De
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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.

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

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

by Rodrigues, Maria Antónia,Proença, João F.

  • Publisher : IGI Global
  • Release : 2022-03-11
  • Pages : 347
  • ISBN : 179989181X
  • Language : En, Es, Fr & De
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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.

Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology

Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology
A Book

by Dimitris Mourtzis

  • Publisher : Elsevier
  • Release : 2021-11-12
  • Pages : 406
  • ISBN : 0128236582
  • Language : En, Es, Fr & De
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Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology draws on the latest industry advances to provide everything needed for the effective implementation of this powerful tool. Shorter product lifecycles have increased pressure on manufacturers through the increasing variety and complexity of production, challenging their workforce to remain competitive and profitable. This has led to innovation in production network methodologies, which together with opportunities provided by new digital technologies has fed a rapid evolution of production engineering that has opened new solutions to the challenges of mass personalization and market uncertainty. In addition to the latest developments in cloud technology, reference is made to key enabling technologies, including artificial intelligence, the digital twin, big data analytics, and the internet of things (IoT) to help users integrate the cloud approach with a fully digitalized production system. Presents diverse cases that show how cloud-based technologies can be used in different ways as part of the standard operation of global production networks Provides detailed reviews of new technologies like the digital twin, big data analytics, and blockchain to provide context on the role of cloud technologies in a fully digitalized system Explores future trends for cloud technology and production engineering

Emerging Technologies for Computing, Communication and Smart Cities

Emerging Technologies for Computing, Communication and Smart Cities
Proceedings of ETCCS 2021

by Pradeep Kumar Singh

  • Publisher : Springer Nature
  • Release : 2022
  • Pages : 129
  • ISBN : 9811902844
  • Language : En, Es, Fr & De
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Internet of Things in Business Transformation

Internet of Things in Business Transformation
Developing an Engineering and Business Strategy for Industry 5.0

by Parul Gandhi,Surbhi Bhatia,Abhishek Kumar,Mohammad Ali Alojail,Pramod Singh Rathore

  • Publisher : John Wiley & Sons
  • Release : 2020-12-16
  • Pages : 320
  • ISBN : 1119711150
  • Language : En, Es, Fr & De
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The objective of this book is to teach what IoT is, how it works, and how it can be successfully utilized in business. This book helps to develop and implement a powerful IoT strategy for business transformation as well as project execution. Digital change, business creation/change and upgrades in the ways and manners in which we work, live, and engage with our clients and customers, are all enveloped by the Internet of Things which is now named “Industry 5.0” or “Industrial Internet of Things. The sheer number of IoT(a billion+), demonstrates the advent of an advanced business society led by sustainable robotics and business intelligence. This book will be an indispensable asset in helping businesses to understand the new technology and thrive.

ICDSMLA 2020

ICDSMLA 2020
Proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications

by Amit Kumar,Sabrina Senatore,Vinit Kumar Gunjan

  • Publisher : Springer Nature
  • Release : 2021-11-08
  • Pages : 1671
  • ISBN : 9811636907
  • Language : En, Es, Fr & De
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This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Distributed, Ambient and Pervasive Interactions

Distributed, Ambient and Pervasive Interactions
8th International Conference, DAPI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings

by Norbert Streitz,Shin'ichi Konomi

  • Publisher : Springer Nature
  • Release : 2020-07-10
  • Pages : 700
  • ISBN : 3030503445
  • Language : En, Es, Fr & De
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This conference proceeding LNCS 12203 constitutes the refereed proceedings of the 12th International Conference on Cross-Cultural Design, CCD 2020, held as part of HCI International 2020 in Copenhagen, Denmark in July 2020. The conference was held virtually due to the corona pandemic. The total of 1439 papers and 238 posters included in the 40 HCII 2020 proceedings volumes was carefully reviewed and selected from 6326 submissions. The regular papers of DAPI 2020, Distributed, Ambient and Pervasive Interactions, presented in this volume were organized in topical sections named: Design Approaches, Methods and Tools, Smart Cities and Landscapes, Well-being, Learning and Culture in Intelligent Environments and much more.

Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications

Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications
A Book

by Deepak Gupta,Aditya Khamparia

  • Publisher : John Wiley & Sons
  • Release : 2020-12-08
  • Pages : 464
  • ISBN : 1119670101
  • Language : En, Es, Fr & De
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A practical guide to the design, implementation, evaluation, and deployment of emerging technologies for intelligent IoT applications With the rapid development in artificially intelligent and hybrid technologies, IoT, edge, fog-driven, and pervasive computing techniques are becoming important parts of our daily lives. This book focuses on recent advances, roles, and benefits of these technologies, describing the latest intelligent systems from a practical point of view. Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications is also valuable for engineers and professionals trying to solve practical, economic, or technical problems. With a uniquely practical approach spanning multiple fields of interest, contributors cover theory, applications, and design methodologies for intelligent systems. These technologies are rapidly transforming engineering, industry, and agriculture by enabling real-time processing of data via computational, resource-oriented metaheuristics and machine learning algorithms. As edge/fog computing and associated technologies are implemented far and wide, we are now able to solve previously intractable problems. With chapters contributed by experts in the field, this book: Describes Machine Learning frameworks and algorithms for edge, fog, and pervasive computing Considers probabilistic storage systems and proven optimization techniques for intelligent IoT Covers 5G edge network slicing and virtual network systems that utilize new networking capacity Explores resource provisioning and bandwidth allocation for edge, fog, and pervasive mobile applications Presents emerging applications of intelligent IoT, including smart farming, factory automation, marketing automation, medical diagnosis, and more Researchers, graduate students, and practitioners working in the intelligent systems domain will appreciate this book’s practical orientation and comprehensive coverage. Intelligent IoT is revolutionizing every industry and field today, and Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications provides the background, orientation, and inspiration needed to begin.

Pervasive Healthcare

Pervasive Healthcare
A Compendium of Critical Factors for Success

by Mohammad Shahid Husain

  • Publisher : Springer Nature
  • Release : 2022
  • Pages : 129
  • ISBN : 3030777464
  • Language : En, Es, Fr & De
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Blockchain, Internet of Things, and Artificial Intelligence

Blockchain, Internet of Things, and Artificial Intelligence
A Book

by Naveen Chilamkurti,T. Poongodi,Balamurugan Balusamy

  • Publisher : CRC Press
  • Release : 2021-04-02
  • Pages : 351
  • ISBN : 1000359557
  • Language : En, Es, Fr & De
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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 understand what they can and cannot do with blockchain Provides readers with an awareness of how industry can avoid some of the pitfalls of traditional data-sharing strategies This book is suitable for graduates, academics, researchers, IT professionals, and industry experts.

Trends in Deep Learning Methodologies

Trends in Deep Learning Methodologies
Algorithms, Applications, and Systems

by Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava

  • Publisher : Academic Press
  • Release : 2020-11-12
  • Pages : 306
  • ISBN : 0128232684
  • Language : En, Es, Fr & De
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Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. Provides insights into the theory, algorithms, implementation and the application of deep learning techniques Covers a wide range of applications of deep learning across smart healthcare and smart engineering Investigates the development of new models and how they can be exploited to find appropriate solutions

International Conference on Computer Networks and Communication Technologies

International Conference on Computer Networks and Communication Technologies
ICCNCT 2018

by S. Smys,Robert Bestak,Joy Iong-Zong Chen,Ivan Kotuliak

  • Publisher : Springer
  • Release : 2018-09-17
  • Pages : 1070
  • ISBN : 9811086818
  • Language : En, Es, Fr & De
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The book features research papers presented at the International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT 2018), offering significant contributions from researchers and practitioners in academia and industry. The topics covered include computer networks, network protocols and wireless networks, data communication technologies, and network security. Covering the main core and specialized issues in the areas of next-generation wireless network design, control, and management, as well as in the areas of protection, assurance, and trust in information security practices, these proceedings are a valuable resource, for researchers, instructors, students, scientists, engineers, managers, and industry practitioners.

Inter-cooperative Collective Intelligence: Techniques and Applications

Inter-cooperative Collective Intelligence: Techniques and Applications
A Book

by Fatos Xhafa,Nik Bessis

  • Publisher : Springer
  • Release : 2013-08-15
  • Pages : 440
  • ISBN : 364235016X
  • Language : En, Es, Fr & De
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This book covers the latest advances in the rapid growing field of inter-cooperative collective intelligence aiming the integration and cooperation of various computational resources, networks and intelligent processing paradigms to collectively build intelligence and advanced decision support and interfaces for end-users. The book brings a comprehensive view of the state-of-the-art in the field of integration of sensor networks, IoT and Cloud computing, massive and intelligent querying and processing of data. As a result, the book presents lessons learned so far and identifies new research issues, challenges and opportunities for further research and development agendas. Emerging areas of applications are also identified and usefulness of inter-cooperative collective intelligence is envisaged. Researchers, software developers, practitioners and students interested in the field of inter-cooperative collective intelligence will find the comprehensive coverage of this book useful for their research, academic, development and practice activity.

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities
A Book

by Sanjay Misra,Amit Kumar Tyagi

  • Publisher : Springer Nature
  • Release : 2021-05-31
  • Pages : 467
  • ISBN : 3030722368
  • Language : En, Es, Fr & De
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This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.

Blockchain, Artificial Intelligence, and the Internet of Things

Blockchain, Artificial Intelligence, and the Internet of Things
Possibilities and Opportunities

by Pethuru Raj,Ashutosh Kumar Dubey,Abhishek Kumar,Pramod Singh Rathore

  • Publisher : Springer Nature
  • Release : 2021-11-22
  • Pages : 213
  • ISBN : 3030776379
  • Language : En, Es, Fr & De
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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.

International Conference on Multi disciplinary Technologies and challenges in Industry 4.0

International Conference on Multi disciplinary Technologies and challenges in Industry 4.0
A Book

by Dr. Prakash s, dr. Silvia liberataullo, dr. Yogesh g s, dr. I manimozhi, prof. Shilpa patil.

  • Publisher : Archers & Elevators Publishing House
  • Release : 2022
  • Pages : 129
  • ISBN : 8194773830
  • Language : En, Es, Fr & De
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Internet of Things

Internet of Things
Cases and Studies

by Fausto Pedro García Márquez,Benjamin Lev

  • Publisher : Springer Nature
  • Release : 2021-07-13
  • Pages : 304
  • ISBN : 3030704785
  • Language : En, Es, Fr & De
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This book provides relevant theoretical frameworks and the latest empirical research findings of Operations Research/Management Science applied to Internet of Things. This book identifies and describes ways in which OR and MS have been applied and influenced the development of IoT. Examples are from smart industry; city; transportation; home and smart devices. It discusses future applications, trends, and potential benefits of this new discipline. It is written for professionals who want to improve their understanding of the strategic role of IoT at various levels of the organization, that is, IoT at the global economy level, at networks and organizations level, at teams and work groups, at information systems and, finally, IoT at the level of individuals, as players in the networked environments.

Artificial Intelligence for Cloud and Edge Computing

Artificial Intelligence for Cloud and Edge Computing
A Book

by Sanjay Misra,Amit Kumar Tyagi,Vincenzo Piuri,Lalit Garg

  • Publisher : Springer Nature
  • Release : 2022-01-13
  • Pages : 350
  • ISBN : 3030808211
  • Language : En, Es, Fr & De
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This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

AI-Based Services for Smart Cities and Urban Infrastructure

AI-Based Services for Smart Cities and Urban Infrastructure
A Book

by Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan

  • Publisher : IGI Global
  • Release : 2020-09-04
  • Pages : 353
  • ISBN : 1799850250
  • Language : En, Es, Fr & De
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Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.