Artificial Intelligence to Solve Pervasive Internet of Things Issues

Artificial Intelligence to Solve Pervasive Internet of Things Issues
Author: Gurjit Kaur,Pradeep Tomar,Marcus Tanque
Publsiher: Academic Press
Total Pages: 428
Release: 2020-11-18
ISBN 10: 012819698X
ISBN 13: 9780128196984
Language: EN, FR, DE, ES & NL

Artificial Intelligence to Solve Pervasive Internet of Things Issues Book Review:

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
Author: Simar Preet Singh,Arun Solanki,Anju Sharma,Zdzislaw Polkowski,Rajesh Kumar
Publsiher: CRC Press
Total Pages: 288
Release: 2021-12-20
ISBN 10: 1000509974
ISBN 13: 9781000509977
Language: EN, FR, DE, ES & NL

Smart Computing and Self Adaptive Systems Book Review:

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
Author: Rodrigues, Maria Antónia,Proença, João F.
Publsiher: IGI Global
Total Pages: 347
Release: 2022-03-11
ISBN 10: 179989181X
ISBN 13: 9781799891819
Language: EN, FR, DE, ES & NL

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

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
Author: Dimitris Mourtzis
Publsiher: Elsevier
Total Pages: 406
Release: 2021-11-12
ISBN 10: 0128236582
ISBN 13: 9780128236581
Language: EN, FR, DE, ES & NL

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

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
Author: Pradeep Kumar Singh
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 9811902844
ISBN 13: 9789811902840
Language: EN, FR, DE, ES & NL

Emerging Technologies for Computing Communication and Smart Cities Book Review:

IoT for Sustainable Smart Cities and Society

IoT for Sustainable Smart Cities and Society
Author: Joel J. P. C. Rodrigues
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 3030895548
ISBN 13: 9783030895549
Language: EN, FR, DE, ES & NL

IoT for Sustainable Smart Cities and Society Book Review:

Fog Edge and Pervasive Computing in Intelligent IoT Driven Applications

Fog  Edge  and Pervasive Computing in Intelligent IoT Driven Applications
Author: Deepak Gupta,Aditya Khamparia
Publsiher: John Wiley & Sons
Total Pages: 464
Release: 2021-01-07
ISBN 10: 1119670071
ISBN 13: 9781119670070
Language: EN, FR, DE, ES & NL

Fog Edge and Pervasive Computing in Intelligent IoT Driven Applications Book Review:

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.

Swarm Intelligence for Resource Management in Internet of Things

Swarm Intelligence for Resource Management in Internet of Things
Author: Aboul Ella Hassanien,Ashraf Darwish
Publsiher: Academic Press
Total Pages: 192
Release: 2020-08-18
ISBN 10: 0128182881
ISBN 13: 9780128182888
Language: EN, FR, DE, ES & NL

Swarm Intelligence for Resource Management in Internet of Things Book Review:

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

ICDSMLA 2020

ICDSMLA 2020
Author: Amit Kumar,Sabrina Senatore,Vinit Kumar Gunjan
Publsiher: Springer Nature
Total Pages: 1671
Release: 2021-11-08
ISBN 10: 9811636907
ISBN 13: 9789811636905
Language: EN, FR, DE, ES & NL

ICDSMLA 2020 Book Review:

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.

Internet of Things in Business Transformation

Internet of Things in Business Transformation
Author: Parul Gandhi,Surbhi Bhatia,Abhishek Kumar,Mohammad Ali Alojail,Pramod Singh Rathore
Publsiher: John Wiley & Sons
Total Pages: 320
Release: 2020-12-16
ISBN 10: 1119711150
ISBN 13: 9781119711155
Language: EN, FR, DE, ES & NL

Internet of Things in Business Transformation Book Review:

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.

Distributed Ambient and Pervasive Interactions

Distributed  Ambient and Pervasive Interactions
Author: Norbert Streitz,Shin'ichi Konomi
Publsiher: Springer Nature
Total Pages: 700
Release: 2020-07-10
ISBN 10: 3030503445
ISBN 13: 9783030503444
Language: EN, FR, DE, ES & NL

Distributed Ambient and Pervasive Interactions Book Review:

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
Author: Deepak Gupta,Aditya Khamparia
Publsiher: John Wiley & Sons
Total Pages: 464
Release: 2020-12-08
ISBN 10: 1119670101
ISBN 13: 9781119670100
Language: EN, FR, DE, ES & NL

Fog Edge and Pervasive Computing in Intelligent IoT Driven Applications Book Review:

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
Author: Mohammad Shahid Husain
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 3030777464
ISBN 13: 9783030777463
Language: EN, FR, DE, ES & NL

Pervasive Healthcare Book Review:

Blockchain Internet of Things and Artificial Intelligence

Blockchain  Internet of Things  and Artificial Intelligence
Author: Naveen Chilamkurti,T. Poongodi,Balamurugan Balusamy
Publsiher: CRC Press
Total Pages: 351
Release: 2021-04-02
ISBN 10: 1000359557
ISBN 13: 9781000359558
Language: EN, FR, DE, ES & NL

Blockchain Internet of Things and Artificial Intelligence Book Review:

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
Author: Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
Publsiher: Academic Press
Total Pages: 306
Release: 2020-11-12
ISBN 10: 0128232684
ISBN 13: 9780128232682
Language: EN, FR, DE, ES & NL

Trends in Deep Learning Methodologies Book Review:

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
Author: S. Smys,Robert Bestak,Joy Iong-Zong Chen,Ivan Kotuliak
Publsiher: Springer
Total Pages: 1070
Release: 2018-09-17
ISBN 10: 9811086818
ISBN 13: 9789811086816
Language: EN, FR, DE, ES & NL

International Conference on Computer Networks and Communication Technologies Book Review:

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
Author: Fatos Xhafa,Nik Bessis
Publsiher: Springer
Total Pages: 440
Release: 2013-08-15
ISBN 10: 364235016X
ISBN 13: 9783642350160
Language: EN, FR, DE, ES & NL

Inter cooperative Collective Intelligence Techniques and Applications Book Review:

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.

Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing

Challenges and Opportunities for the Convergence of IoT  Big Data  and Cloud Computing
Author: V. Sathiyamoorthi
Publsiher: Unknown
Total Pages: 135
Release: 2020
ISBN 10: 9781799831112
ISBN 13: 1799831116
Language: EN, FR, DE, ES & NL

Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing Book Review:

"This book focuses on the applications, issues, and challenges in the convergence of the internet of things, big data, and cloud computing"--

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

Artificial Intelligence for Cyber Security  Methods  Issues and Possible Horizons or Opportunities
Author: Sanjay Misra,Amit Kumar Tyagi
Publsiher: Springer Nature
Total Pages: 467
Release: 2021-05-31
ISBN 10: 3030722368
ISBN 13: 9783030722364
Language: EN, FR, DE, ES & NL

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

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
Author: Pethuru Raj,Ashutosh Kumar Dubey,Abhishek Kumar,Pramod Singh Rathore
Publsiher: Springer Nature
Total Pages: 213
Release: 2021-11-22
ISBN 10: 3030776379
ISBN 13: 9783030776374
Language: EN, FR, DE, ES & NL

Blockchain Artificial Intelligence and the Internet of Things Book Review:

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.