P. Karthikeyan – författare

IoT is empowered by various technologies used to detect, gather, store, act, process, transmit, oversee, and examine information. The combination of emergent technologies for information processing and distributed security, such as Cloud computing, Artificial intelligence, and Blockchain, brings new challenges in addressing distributed security methods that form the foundation of improved and eventually entirely new products and services. As systems interact with each other, it is essential to have an agreed interoperability standard, which is safe and valid. This book aims at providing an introduction by illustrating state-of-the-art security challenges and threats in IoT and the latest developments in IoT with Cloud, AI, and Blockchain security challenges. Various application case studies from domains such as science, engineering, and healthcare are introduced, along with their architecture and how they leverage various technologies Cloud, AI, and Blockchain. This book provides a comprehensive guide to researchers and students to design IoT integrated AI, Cloud, and Blockchain projects and to have an overview of the next generation challenges that may arise in the coming years.

The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.

The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.

IoT is empowered by various technologies used to detect, gather, store, act, process, transmit, oversee, and examine information. The combination of emergent technologies for information processing and distributed security, such as Cloud computing, Artificial intelligence, and Blockchain, brings new challenges in addressing distributed security methods that form the foundation of improved and eventually entirely new products and services. As systems interact with each other, it is essential to have an agreed interoperability standard, which is safe and valid. This book aims at providing an introduction by illustrating state-of-the-art security challenges and threats in IoT and the latest developments in IoT with Cloud, AI, and Blockchain security challenges. Various application case studies from domains such as science, engineering, and healthcare are introduced, along with their architecture and how they leverage various technologies Cloud, AI, and Blockchain. This book provides a comprehensive guide to researchers and students to design IoT integrated AI, Cloud, and Blockchain projects and to have an overview of the next generation challenges that may arise in the coming years.

This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring.Features:Provides a state-of-the-art computer vision application in the digital health care industryReviews advances in computer vision and data science technologies for analyzing information on human function and disabilityIncludes practical implementation of computer vision application using recent tools and softwareExplores computer vision-enabled medical/clinical data security in the cloudIncludes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and GoogleThis book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.

This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring.Features:Provides a state-of-the-art computer vision application in the digital health care industryReviews advances in computer vision and data science technologies for analyzing information on human function and disabilityIncludes practical implementation of computer vision application using recent tools and softwareExplores computer vision-enabled medical/clinical data security in the cloudIncludes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and GoogleThis book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.

In the rapidly evolving landscape of finance and governance, the integration of blockchain technology and artificial intelligence is reshaping the way we perceive and interact with traditional systems. In Applications of Blockchain and Artificial Intelligence in Finance and Governance, the authors delve into the intricacies of this dynamic intersection, offering a comprehensive exploration of the transformative potential of these cutting-edge technologies. From dissecting the symbiotic relationship between artificial intelligence and blockchain to examining their profound impact on cryptocurrency markets, each chapter offers invaluable insights into the role of these technologies in shaping the future of finance. With a meticulous review of open risks and challenges, the book navigates through the complexities of data security in public and consortium blockchain systems, paving the way for enhanced trust and transparency in financial transactions. Through real-world case studies and theoretical frameworks, readers are guided through the application of intelligent resource allocation for data analytics, unlocking the potential for optimized decision-making in blockchain-enabled financial transactions. Moreover, the book explores the revolutionary implications of blockchain and AI in maintaining smart governance records, revolutionizing accountability and efficiency in public administration.This book: Introduces a step-by-step procedure for developing blockchain and artificial intelligence-based applications for the finance industry using decentralized applications and hyperledgers. Discusses improved trust framework and data integrity in the blockchain using artificial intelligence in the finance sector. Highlights the importance of blockchain in solving transaction costs, coordination costs, and supervision costs for efficient resource allocation. Explores the use of explainable artificial intelligence for policy development, service delivery, and regulatory compliance. Explains how federated learning can be used to build more accurate and robust models for financial risk assessment, fraud detection, and customer profiling. From the transformative effects on the accounting profession to the burgeoning adoption of blockchain technology in supply chain finance, this book serves as an indispensable guide for professionals, academics, and enthusiasts alike. Applications of Blockchain and Artificial Intelligence in Finance and Governance illuminates the path toward a more secure, efficient, and equitable financial future, where innovation and collaboration reign supreme.

The integration of Artificial Intelligence (AI) into supply chain management (SCM) is transforming traditional operations into intelligent, resilient, and sustainable ecosystems. This book explores the application of AI-driven models to enhance decision-making, optimize logistics, and minimize environmental impact across various stages of the supply chain. Emphasis is placed on how machine learning, deep learning, and predictive analytics enable proactive demand forecasting, waste reduction, and resource optimization. The research proposes a sustainability-centered framework that combines AI-based optimization with environmental, social, and governance (ESG) principles to achieve transparency, traceability, and ethical sourcing. The findings demonstrate that AI adoption not only strengthens supply chain agility and resilience but also contributes significantly to achieving Sustainable Development Goals (SDGs) by promoting circular economy practices and carbon footprint minimization.Features:• Includes a step-by-step procedure for developing the Blockchain Internet of Things for industries using D-APP and hyperledgers. • Covers different blockchain and Internet of Things-based sustainable supply chain management merits, demerits, challenges, and risks. • Delves into the integration of artificial intelligence into smart contracts to foster responsible and efficient operations across industries. • Showcases the use of artificial intelligence algorithms within smart contract frameworks to optimize decision-making processes and ensure ethical considerations are prioritized in automated contract executions. • Explores how artificial intelligence-driven solutions are being tailored to meet the unique demands of different sectors, including manufacturing, healthcare, retail, agriculture, and logistics. It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, supply chain management, manufacturing engineering, and industrial engineering.

This book highlights research on secure communication of 5G and the Internet of Things (IoT) Networks, along with related areas to ensure secure and Internet-compatible IoT systems.

This book highlights research on secure communication of 5G and the Internet of Things (IoT) Networks, along with related areas to ensure secure and Internet-compatible IoT systems.

This book provides a complete comprehensive investigation of Responsible AI in Smart Cities, ethical, social welfare and AI-based environmental aspects of functioning in urban environments. When RAI integrates into social developments to solve problems like traffic congestion, Public Safety, electricity savings and healthcare technologies. This book is dedicated to governance systems and inter-regulation approaches to ensure Responsible AI which includes real-life experiences and case studies from all over the world. Although Responsible AI is the core focus, it will not be possible to notice the impacts in real time. This book highlights the significance of RAI for urban development and the aims of empowering policymakers, urban planners and AI-driven smart city development responsibly and ethically. Major focus on sustainability development through Responsible AI to ensure the well-being and happiness of the residents.  Target audiences: Researchers, Social scientists, Urban Planners Policy Makers and industry professionals.

Digital forensics is the science of detecting evidence from digital media like a computer, smartphone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, have meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data.This book provides a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market.