Böcker av Pethuru Raj

Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more.

The book emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. The book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry.

This book focuses on Explainable AI (XAI) concepts, tools, frameworks, techniques and applications. It introduces knowledge graphs (KG) to support the need for trust and transparency into the functioning of AI systems, and shows how Intelligent applications can be used to greater effect in finance and healthcare.

This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2021. The volume covers a wide range of topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. The book will serve as a valuable reference resource for academics and researchers across the globe.

In this book, the authors articulate the challenges associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases.

Graph analytics are being empowered through novel analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book presents the various aspects and importance of graph data science, with contributions by authors from academia and industry.

This book illustrates how the blockchain is being sustained through a host of platforms, programming languages, and enabling tools. It details how blockchain is being blended with cloud computing, big data analytics and IoT across all industry verticals.

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data;