Vinod Kumar Shukla – författare

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

This book is for anyone who wants to gain an understanding of Blockchain technology and its potential. The book is research-oriented and covers different verticals of Blockchain technology. It discusses the characteristics and features of Blockchain, includes techniques, challenges, and future trends, along with case studies for deeper understanding.Blockchain Technology: Exploring Opportunities, Challenges, and Applications covers the core concepts related to Blockchain technology starting from scratch. The algorithms, concepts, and application areas are discussed according to current market trends and industry needs. It presents different application areas of industry and academia and discusses the characteristics and features of this technology. It also explores the challenges and future trends and provides an understanding of new opportunities.This book is for anyone at the beginner to intermediate level that wants to learn about the core concepts related to Blockchain technology.

This book is for anyone who wants to gain an understanding of Blockchain technology and its potential. The book is research-oriented and covers different verticals of Blockchain technology. It discusses the characteristics and features of Blockchain, includes techniques, challenges, and future trends, along with case studies for deeper understanding.Blockchain Technology: Exploring Opportunities, Challenges, and Applications covers the core concepts related to Blockchain technology starting from scratch. The algorithms, concepts, and application areas are discussed according to current market trends and industry needs. It presents different application areas of industry and academia and discusses the characteristics and features of this technology. It also explores the challenges and future trends and provides an understanding of new opportunities.This book is for anyone at the beginner to intermediate level that wants to learn about the core concepts related to Blockchain technology.

Computational Intelligence in Urban Infrastructure consolidates experiences and research results in computational intelligence and its applications in urban infrastructure. It discusses various techniques and application areas of smart urban infrastructure including topics related to smart city management. Major topics covered include smart home automation, intelligent lighting, smart human care services, intelligent transportation systems, ontologies in urban development domain, and intelligent monitoring, control, and security of critical infrastructure systems supported by case studies.Features:Covers application of AI and computational intelligence techniques in urban infrastructure planningDiscusses characteristics and features of smart urban managementExplores relationship between smart home and smart city managementDeliberates various smart home techniquesIncludes different case studies for supporting and analyzing various aspects of smart urban infrastructure managementThis book is aimed at researchers, graduate students, libraries in communication networks, urban and town planning, and civil engineering.

Computational Intelligence in Urban Infrastructure consolidates experiences and research results in computational intelligence and its applications in urban infrastructure. It discusses various techniques and application areas of smart urban infrastructure including topics related to smart city management. Major topics covered include smart home automation, intelligent lighting, smart human care services, intelligent transportation systems, ontologies in urban development domain, and intelligent monitoring, control, and security of critical infrastructure systems supported by case studies.Features:Covers application of AI and computational intelligence techniques in urban infrastructure planningDiscusses characteristics and features of smart urban managementExplores relationship between smart home and smart city managementDeliberates various smart home techniquesIncludes different case studies for supporting and analyzing various aspects of smart urban infrastructure managementThis book is aimed at researchers, graduate students, libraries in communication networks, urban and town planning, and civil engineering.

The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data.Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare.This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications.

The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data.Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare.This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications.

This book discusses the components and foundations of precision agriculture, followed by smart farming practices, sustainable development in precision agriculture, and use of artificial intelligence techniques in the field of agriculture.Features:Discusses remote sensing techniques, global positioning system, robotics, and unmanned aerial vehicles in precision agriculture.Covers sustainable development in precision agriculture, data management and analytics, and variable rate technology.Highlights the implementation of artificial intelligence techniques, and use of prediction algorithms in improving crop efficiency.Presents machine learning, deep learning, and computer vision applications in precision agriculture.Showcases case studies on cotton crops, tea pests, and crop recommendations.The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, smart grids, environmental engineering, agricultural engineering, computer science and engineering.

Unlock the potential of decentralized finance (DeFi) and blockchain with this comprehensive guide that demystifies their transformative impact on industries, providing cutting-edge insights for professionals, academics, and innovators. In the ever-evolving digital age, the intersection of blockchain technology and decentralized finance (DeFi) is revolutionizing the global financial landscape in ways previously unimagined. This book drills into the dynamic interplay between these innovations, exploring how they are fundamentally reshaping the financial future. By eliminating traditional intermediaries, DeFi harnesses the inherent strengths of blockchain to forge a financial ecosystem that is more accessible, cost-efficient, and inclusive. This paradigm shift not only renders financial services more affordable but also extends them to previously underserved populations, particularly in regions where access to conventional banking has long been limited. As a result, blockchain and DeFi are not just transforming how we engage with financial systems—they are democratizing access, ensuring that opportunities for economic empowerment are within reach for all. The chapters highlight diverse applications and implications of blockchain and DeFi, including their role in green finance, healthcare interoperability, and the transformation of marketing strategies. The work also investigates the economic impact of cryptocurrencies and explores the potential of decentralized finance to disrupt traditional banking systems. This book is a must-read for academics, financial practitioners, technologists, and policymakers, offering a comprehensive understanding of the technological, economic, and social implications of blockchain and DeFi. It is an essential resource for anyone interested in the future of financial systems and their potential to foster global economic inclusion. Readers will find the book: offers an in-depth understanding of DeFi and blockchain, unraveling their core principles and mechanisms; examines the challenges and opportunities of DeFi and blockchain adoption, offering strategies for sustained innovation; explores real-world applications, such as decentralized exchanges, smart contracts, tokenized assets, and yield farming, showcasing their transformative potential; and discusses the evolving legal and regulatory frameworks for DeFi, ensuring readers understand compliance and risk management. Audience Professionals in finance, technology, and blockchain industries, such as financial analysts, blockchain developers, fintech entrepreneurs, and business executives, as well as academic researchers, graduate students, and educators specializing in finance, blockchain, and decentralized technologies.

Industry 4.0 is revolutionizing the way companies do business by integrating new technologies into workplace practices and into production facilities and throughout their operations. This new volume provides an insightful examination of the role of people analytics—the data-driven and goal-focused method of studying people processes, functions, challenges, and opportunities at work to elevate these systems and achieve sustainable business success—in the era of Industry 4.0. It explores the use of AI and other technologies in analyzing cognition, human potential, and talent management; for studying workplace diversity and inclusion; in performance management and reward analytics; to enhance emotional and social intelligence in decision making; for employee training programs; for employee wellness enhancement; for leadership development; and more.

This informative volume on the shifting requirements of the hospitality service industry aims to incorporate smart information technology into tourism services. A resource written specifically for tourism service industry professionals, it provides a focused approach to introducing Industry 4.0-related technologies. It explains how artificial intelligence can support a company’s strategy to revolutionize the business by using smart technology most effectively. The chapters explore artificial intelligence, Internet of Things, big data, blockchain, and automation and robotics in the hospitality industry.

This book focuses on quantum machine learning that harnesses the collective properties of quantum states, such as superposition, interference, and entanglement, uses algorithms run on quantum devices, such as quantum computers, to supplement, expedite, or support the work performed by a classical machine learning program. The devices that perform quantum computations are known as quantum computers. Quantum computers have the potential to revolutionize computation by making certain types of classically intractable problems solvable. A few large companies and small start-ups now have functioning non-error-corrected quantum computers composed of several tens of qubits, and some of these are even accessible to the public through the cloud. Additionally, quantum simulators are making strides in fields varying from molecular energetics to many-body physics. Most known use cases fit into four archetypes: quantum simulation, quantum linear algebra for AI and machine learning, quantum optimization and search, and quantum factorization. Advantages of quantum computing are many and to list a few, first, they’re fast. Ultimately, quantum computers have the potential to provide computational power on a scale that traditional computers cannot ever match. In 2019, for example, Google claimed to carry out a calculation in about 200 seconds that would take a classical supercomputer around 10,000 years. Second, they can solve complex problems. The more complex a problem, the harder it is for even a supercomputer to solve. When a classical computer fails, it’s usually because of a huge degree of complexity and many interacting variables. However, due to the concepts of superposition and entanglement, quantum computers can account for all these variables and complexities to reach a solution. Last but not the least, they can run complex simulations. The speed and complexity that quantum computing can achieve means that, in theory, a quantum computer could simulate many intricate systems.

The new paradigm "Industry 5.0" promises great shifts not only in industry, but also in business and consumption models. With the help of data science and internet of things, manufacturers focus on delivering in real time, and customers will benefit from personalized products. Robots and cobots will collaborate with the humans. This book explains various facets of Industry 5.0, focusing on its applications on medical research and manufacturing.