Vinay Kukreja – författare

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence.The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needsAmitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India.Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India.Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence.The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needsAmitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India.Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India.Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

This book explores how digital technologies are transforming cultural heritage preservation, documentation, and archiving. It delves into the technical aspects of digitalization techniques, digital preservation strategies, and the use of advanced technologies like virtual reality and augmented reality in the context of cultural heritage.Digital Cultural Heritage: Challenges, Solutions and Future Directions covers the digital documentation and archiving of cultural artifacts, which involves the use of imaging techniques, data storage, and metadata management. This aspect would resonate with engineers specializing in imaging technology, data management, and information systems. The chapters showcase the breadth of innovative ideas in delivering, communicating, interpreting, and transforming cultural heritage content and experience through multi-modal, multimedia interfaces. Aiming to offer a balanced overview of digital heritage and culture issues and technologies, the book pulls together expert views and updates on these four broad areas, namely, (a) Smart Cities and Digital Heritage, (b) Heritage and Education, (c) Culture and Society, and (d) Digital Documentation and Preservation.The book will resonate with engineers specializing in imaging technology, data management, and information systems and those exploring the intersection of digital technology and museums, such as interactive exhibits, digital displays, and virtual museum experiences. It will also be of interest to researchers, curators, and educators as well as the culture-minded public seeking to understand how the burgeoning field of digital heritage and culture may impact our social, cultural, and recreational activities.

This book explores how digital technologies are transforming cultural heritage preservation, documentation, and archiving. It delves into the technical aspects of digitalization techniques, digital preservation strategies, and the use of advanced technologies like virtual reality and augmented reality in the context of cultural heritage.Digital Cultural Heritage: Challenges, Solutions and Future Directions covers the digital documentation and archiving of cultural artifacts, which involves the use of imaging techniques, data storage, and metadata management. This aspect would resonate with engineers specializing in imaging technology, data management, and information systems. The chapters showcase the breadth of innovative ideas in delivering, communicating, interpreting, and transforming cultural heritage content and experience through multi-modal, multimedia interfaces. Aiming to offer a balanced overview of digital heritage and culture issues and technologies, the book pulls together expert views and updates on these four broad areas, namely, (a) Smart Cities and Digital Heritage, (b) Heritage and Education, (c) Culture and Society, and (d) Digital Documentation and Preservation.The book will resonate with engineers specializing in imaging technology, data management, and information systems and those exploring the intersection of digital technology and museums, such as interactive exhibits, digital displays, and virtual museum experiences. It will also be of interest to researchers, curators, and educators as well as the culture-minded public seeking to understand how the burgeoning field of digital heritage and culture may impact our social, cultural, and recreational activities.

This book proposes robust solutions for securing a network against intrusions for data privacy and safety. It includes theoretical models, commercialization of validated models, and case studies.Explains the integration of technologies such as artificial intelligence, the Internet of Things, and blockchain for network security in a 6G communication system.Highlights the challenges such as spectrum allocation and management, network architecture and heterogeneity, energy efficiency and sustainability, antenna, and radio frequency.Discuss theories like quantum-safe cryptography, zero-trust networking, and blockchain-based trust management.Covers emerging technologies including homomorphic encryption, secure multi-party computation, post-quantum cryptography, and distributed ledger technology for security and privacy in 6G communication systems.Presents light and deep secure algorithms to detect fake incidents in wireless communication.The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, and computer science.

This book proposes robust solutions for securing a network against intrusions for data privacy and safety. It includes theoretical models, commercialization of validated models, and case studies.Explains the integration of technologies such as artificial intelligence, the Internet of Things, and blockchain for network security in a 6G communication system.Highlights the challenges such as spectrum allocation and management, network architecture and heterogeneity, energy efficiency and sustainability, antenna, and radio frequency.Discuss theories like quantum-safe cryptography, zero-trust networking, and blockchain-based trust management.Covers emerging technologies including homomorphic encryption, secure multi-party computation, post-quantum cryptography, and distributed ledger technology for security and privacy in 6G communication systems.Presents light and deep secure algorithms to detect fake incidents in wireless communication.The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, and computer science.

Get up to speed with how the latest knowledge management and industry 4.0 technologyhelp make enterprises secure, controlled, and optimized for a better future. This book focuses on how the practices of Industrial Revolution 4.0 and knowledge management interact to create value. In recent years, value chain relationships and related activities have utilized new technologies so that existing conceptual frameworks require a roadmap for innovation strategies and effective implementation. The chapters in this book include case studies contributed by researchers and industry practitioners that showcase the impact of practices and challenges presented by technological changes, upgrading of old systems, and internal and external factors. Knowledge Management and Industrial Revolution 4.0 describes how knowledge management impacts the automation of the industry in secure, controlled, and optimized ways. For instance, the use of the latest technologies and sensors can lead to significant time and cost savings, and operators can utilize their machines and equipment from remote locations. The Industrial Revolution 4.0 incorporates the latest technologies for automation and, in many cases, the result is similar to working from home, even in manufacturing. The use of deep learning should offer many quality control benefits. Furthermore, blockchain technology can help the industry with automation in secure and transparent ways. Apart from industry automation, other departments like human resources can also use effective knowledge management for better outcomes. The use of HR knowledge management allows employees to find and access the information they require without the assistance of the HR department. The book focuses on every aspect of the industry to help all the stakeholders of an organization. The benefits include a reduction in time required for accessing information, easier training, decreased operational expenses, improved stakeholders’ satisfaction, faster problem-solving, increased pace of innovation, simpler employee review and progress reports. Audience The book will have a wide audience within academia, education, businesses, and industrial organizations, especially those who are undergoing industry 4.0 changes to optimize for a better future.

The 25 chapters in this volume serve as a comprehensive guide to understanding and implementing blockchain-enabled solutions in the pharmaceutical industry. The pharmaceutical industry is undergoing a holistic transformation, where innovation is key to addressing complex challenges and enabling user-centric, customized services. This book explores the potential applications of blockchain technology in revolutionizing pharmaceutical processes. By integrating blockchain fundamentals, the pharmaceutical industry can enhance transparency, security, and efficiency in areas such as supply chain management, patient safety, and more. Blockchain can also improve regulatory compliance, streamline clinical trials, and protect data integrity. Furthermore, it enables secure transactions, reduces the prevalence of counterfeit drugs, and strengthens patient privacy and data management. Some of the subjects readers will find the volume covers include: How blockchain technology can revolutionize the healthcare sector by enabling a secure, decentralized, and tamper-proof system for handling patient data, and facilitating seamless information sharing across various healthcare providers • how blockchain transforms the pharmaceutical industry by enhancing drug traceability, ensuring product authenticity, and reducing counterfeit drugs • a comprehensive blockchain-based framework to improve the pharmaceutical supply chain from manufacturers to end consumers • how the Pharma-RBT solution utilizes blockchain technology to protect personally identifiable information (PII) during drug trials • the use of blockchain-based smart contracts to automate and streamline payment processes reducing transaction times and minimizing human errors • surveys how blockchain can ensure the validity of pharmaceutical products by providing an immutable and transparent ledger that tracks each phase of a drug’s lifecycle, from production to the end consumer • how blockchain can enhance the security of smart medicine vending machines • how blockchain can improve the kidney transplantation process by enhancing the security, traceability, and efficiency of donor-recipient matching, organ transportation, and post-operative care • how blockchain can contribute to the development of the metaverse by enabling decentralized ownership of virtual assets • how blockchain can improve clinical trials by enhancing transparency, efficiency, and ethical conduct in drug development • how blockchain technology can revolutionize the drug recall process • how integrating hybrid technologies with blockchain can enhance smart healthcare systems • how the metaverse can transform healthcare by offering immersive virtual environments for medical training, patient education, and remote consultations. Audience The book will appeal to researchers, scientists, and professionals in the biomedical and pharmaceutical industries, as well as computer scientists and experts in blockchain technology, cybersecurity, and logistics.

Tackle the critical challenge of sustainability in modern technology with this essential book, which provides a comprehensive, expert-led exploration of energy-aware methodologies and machine learning strategies for optimizing IoT-based wireless sensor networks. With the rapid expansion of IoT applications in diverse domains such as smart cities, agriculture, healthcare, and industry, energy constraints pose significant challenges to maintaining sustainable operations. This book addresses these challenges by presenting a comprehensive exploration of methodologies, technologies, and strategies aimed at optimizing energy usage in IoT-based wireless sensor networks. Authored by experts from academia and industry, the book covers topics such as energy-aware routing protocols, edge computing, energy harvesting technologies, machine learning applications, and blockchain-based energy management frameworks. Each chapter provides cutting-edge insights and practical approaches to fostering energy efficiency while ensuring robust and scalable IoT solutions. This book serves as a valuable resource for researchers, professionals, and policymakers, offering actionable knowledge to navigate the evolving landscape of IoT and wireless sensor network technologies. Readers will find the volume: Explores the intersection of Internet of Things, wireless sensor networks, and energy efficiency across fundamental concepts, protocols, applications, and advanced solutions;Features chapters by leading researchers and industry professionals, providing authoritative perspectives;Offers actionable insights for implementing sustainable and energy-efficient IoT solutions in diverse fields like healthcare, agriculture, and smart cities;Highlights emerging trends, including AI, machine learning, and blockchain integration in wireless sensor networks.Audience Researchers, academics, engineers, system architects, technology developers, and policymakers specializing in IoT, wireless communications, and energy-efficient systems.