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Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications PDF Author: Chowdhury, Niaz
Publisher: IGI Global
ISBN: 1799858774
Category : Computers
Languages : en
Pages : 255

Book Description
Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications PDF Author: Chowdhury, Niaz
Publisher: IGI Global
ISBN: 1799858774
Category : Computers
Languages : en
Pages : 255

Book Description
Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.

Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector

Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector PDF Author: Mahmood, Zaigham
Publisher: IGI Global
ISBN: 1799866521
Category : Computers
Languages : en
Pages : 400

Book Description
Blockchain technology presents numerous advantages that include increased transparency, reduced transaction costs, faster transaction settlement, automation of information, increased traceability, improved customer experience, improved digital identity, better cyber security, and user-controlled networks. These potential applications are widespread and diverse including funds transfer, smart contracts, e-voting, efficient supply chain, and more in nearly every sector of society including finance, healthcare, law, trade, real estate, and other important areas. However, there are challenges and limitations that exist such as high energy consumption, limited scalability, complexity, security, network size, lack of regulations, and other critical issues. Nevertheless, blockchain is an attractive technology and has much to offer to the modern-day industry. Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector investigates blockchain technology’s adoption and effectiveness in multiple industries and for the internet of things (IoT)-based applications, presents use cases from industrial and financial sectors as well as from other transaction-based services, and fills a gap in this respect by extending the existing body of knowledge in the suggested field. While highlighting topics such as cybersecurity, use cases, and models for blockchain implementation, this book is ideal for business managers, financial accountants, practitioners, researchers, academicians, and students interested in blockchain technology’s role and implementation in IoT and the financial sector.

Intelligent Engineering Applications and Applied Sciences for Sustainability

Intelligent Engineering Applications and Applied Sciences for Sustainability PDF Author: Mishra, Brojo Kishore
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 568

Book Description
Engineering plays a major role in solving real-world problems, from small inconveniences to societal or global concerns around food scarcity, water shortages, environmental damage, problems in housing or infrastructure and more. In today's rapidly evolving world, the development of the latest generation of engineering and technology is crucial for maintaining productivity, innovation, and improving our overall quality of life. Intelligent Engineering Applications and Applied Sciences for Sustainability is an essential research book that serves as a compilation of cutting-edge research and advancements in engineering, science, and technology, and more importantly, how the application of these advancements will guide the path to a more sustainable future. This book focuses on intelligent engineering applications, which encompass the design and implementation of embedded technologies in various domains. It covers a wide range of fields and their influence on the Sustainable Development Goals (SDGs), fostering interdisciplinary approaches and innovative solutions, including additive manufacturing technologies, aerospace science and engineering, agricultural advancements, computer science for sustainable development, applied biosciences, applied mathematics, industrial engineering, robotics and automation, transportation, future mobility, and much more. As an academic, rigorous exploration of various disciplines, this book serves as an invaluable resource for researchers, scholars, and professionals seeking to advance the frontiers of intelligent engineering applications and applied sciences for a sustainable future.

Blockchain in a Volatile-Uncertain-Complex-Ambiguous World

Blockchain in a Volatile-Uncertain-Complex-Ambiguous World PDF Author: Kaliyan Mathiyazhagan
Publisher: Elsevier
ISBN: 0323899641
Category : Social Science
Languages : en
Pages : 302

Book Description
Blockchain in a Volatile-Uncertain-Complex-Ambiguous World examines the role blockchain brings in supply chain management. The book explores the theoretical foundations and empirical frameworks for using Blockchain for the logistical transportation of goods and examines how blockchain applications, barriers and opportunities of numerous technologies, describing how each converge into feasible integration. Covering policymaking and regulatory issues from a research perspective, this book is a key reference for supply chain management scholars, students and practitioners. - Uses the Volatile-Uncertain-Complex-Ambiguous (VUCA) framework for analyzing blockchain supply chain management - Includes numerous case studies from a variety of industries - Consolidates research of machine learning, IoT, and signal processing technologies for supply chain management

Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things

Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things PDF Author: Mishra, Divya Upadhyay
Publisher: IGI Global
ISBN: 1668449935
Category : Computers
Languages : en
Pages : 298

Book Description
With the development of innovative technologies, the study of industrial automation is obtaining extraordinary attention from academia, governments, researchers, and various industrial communities. The technical innovations in advanced technologies such as deep learning, blockchain, artificial intelligence of things (AIOT), and more have unlocked the potential for bringing intelligent automation and efficiency to the industries to control their various operations. These new technologies provide an efficient and secure way for industries to manage and develop products intelligently. Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things includes the recent advancements in exploring and developing AIOT-powered strategies and mechanisms for future industrial automation and transforming industrial functions and architectures to help improve various industrial operations. Covering topics such as convolutional neural networks, smart urban logistics, and industrial automation, this premier reference source is an excellent resource for computer scientists, IT managers, engineers, business leaders and executives, logistics managers, students and faculty of higher education, libraries, researchers, and academicians.

Transformation in Healthcare with Emerging Technologies

Transformation in Healthcare with Emerging Technologies PDF Author: Pushpa Singh
Publisher: CRC Press
ISBN: 1000554058
Category : Computers
Languages : en
Pages : 302

Book Description
The book, Transformation in Healthcare with Emerging Technologies, presents healthcare industrial revolution based on service aggregation and virtualisation that can transform the healthcare sector with the aid of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Bigdata and Blockchain. These technologies offer fast communication between doctors and patients, protected transactions, safe data storage and analysis, immutable data records, transparent data flow service, transaction validation process, and secure data exchanges between organizations. Features: • Discusses the Integration of AI, IoT, big data and blockchain in healthcare industry • Highlights the security and privacy aspect of AI, IoT, big data and blockchain in healthcare industry • Talks about challenges and issues of AI, IoT, big data and blockchain in healthcare industry • Includes several case studies It is primarily aimed at graduates and researchers in computer science and IT who are doing collaborative research with the medical industry. Industry professionals will also find it useful.

Proceedings of the 2nd International Conference on Computational and Bio Engineering

Proceedings of the 2nd International Conference on Computational and Bio Engineering PDF Author: S. Jyothi
Publisher: Springer Nature
ISBN: 9811619417
Category : Technology & Engineering
Languages : en
Pages : 774

Book Description
This book presents the peer-reviewed proceedings of the 2nd International Conference on Computational and Bioengineering (CBE 2020) jointly organized in virtual mode by the Department of Computer Science and the Department of BioScience & Sericulture, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, Andhra Pradesh, India, during 4–5 December 2020. The book includes the latest research on advanced computational methodologies such as artificial intelligence, data mining and data warehousing, cloud computing, computational intelligence, soft computing, image processing, Internet of things, cognitive computing, wireless networks, social networks, big data analytics, machine learning, network security, computer networks and communications, bioinformatics, biocomputing/biometrics, computational biology, biomaterials, bioengineering, and medical and biomedical informatics.

Machine Learning Approaches for Convergence of IoT and Blockchain

Machine Learning Approaches for Convergence of IoT and Blockchain PDF Author: Krishna Kant Singh
Publisher: John Wiley & Sons
ISBN: 1119761743
Category : Computers
Languages : en
Pages : 258

Book Description
MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.

The Evolution of Artificial Intelligence in Higher Education

The Evolution of Artificial Intelligence in Higher Education PDF Author: Miltiadis D. Lytras
Publisher: Emerald Group Publishing
ISBN: 1835494889
Category : Education
Languages : en
Pages : 302

Book Description
The Evolution of Artificial Intelligence in Higher Education is a comprehensive guide to the transformative potential of AI in the higher education landscape, focused on the need to nurture technology literacy among educators and learners.

Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science PDF Author: Panda, Mrutyunjaya
Publisher: IGI Global
ISBN: 1799866610
Category : Computers
Languages : en
Pages : 392

Book Description
In today’s digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engineering is a process to transform such data into a suitable form that better assists with interpretation and visualization. Through this method, the transformed data is more transparent to the machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess the trade-offs of their decisions regarding the effectiveness of the machine learning model implemented. Investigating the demand in this area today and in the future is a necessity. The Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science provides an in-depth analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. The chapters will introduce feature engineering and the recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data. While highlighting topics such as detection, tracking, selection techniques, and prediction models using data science, this book is ideally intended for research scholars, big data scientists, project developers, data analysts, and computer scientists along with practitioners, researchers, academicians, and students interested in feature engineering and its impact on data.