Shalli Rani – författare

This book provides in-depth information about the technical, legal, and policy issues that are raised when humans and artificially intelligent machines are enhanced by technology.

Cyborg: Human and Machine Communication Paradigm helps readers to understand cyborgs, bionic humans, and machines with increasing levels of intelligence by linking a chain of fascinating subjects together, such as the technology of cognitive, motor, and sensory prosthetics; biological and technological enhancements to humans; body hacking; and brain-computer interfaces. It also covers the existing role of the cyborg in real-world applications and offers a thorough introduction to cybernetic organisms, an exciting emerging field at the interface of the computer, engineering, mathematical, and physical sciences.

Academicians, researchers, advanced-level students, and engineers that are interested in the advancements in artificial intelligence, brain-computer interfaces, and applications of human-computer in the real world will find this book very interesting.

This book provides in-depth information about the technical, legal, and policy issues that are raised when humans and artificially intelligent machines are enhanced by technology.

Cyborg: Human and Machine Communication Paradigm helps readers to understand cyborgs, bionic humans, and machines with increasing levels of intelligence by linking a chain of fascinating subjects together, such as the technology of cognitive, motor, and sensory prosthetics; biological and technological enhancements to humans; body hacking; and brain-computer interfaces. It also covers the existing role of the cyborg in real-world applications and offers a thorough introduction to cybernetic organisms, an exciting emerging field at the interface of the computer, engineering, mathematical, and physical sciences.

Academicians, researchers, advanced-level students, and engineers that are interested in the advancements in artificial intelligence, brain-computer interfaces, and applications of human-computer in the real world will find this book very interesting.

The Internet of Things (IoT) has numerous applications, including smart cities, industries, cloud-based apps, smart homes, and surveillance.

The Internet of Things (IoT) enables smarter living by connecting devices, people, and objects. As networking became a crucial aspect of the Internet, rigorous design analysis led to the development of new research areas.

The Internet of Things has revolutionized daily living in countless ways. It enables communication between buildings, people, portable gadgets, and vehicles, facilitating mobility. Smart cities and cloud-based data have transformed corporate practices. With billions of connected gadgets, everything will soon be able to communicate remotely. IoT networks, whether public or private, rely significantly on machine learning and software-defined networking. Indian and other governments have approved various research projects on IoT-based networking technologies. This field of study will significantly impact society in the future.

Researchers are concerned about the many application areas and driving forces behind smart cities. The authors aim to provide insights into software-defined networking, artificial intelligence, and machine learning technologies used in IoT and networking. The framework focuses on practical applications and infrastructures. The book includes practical challenges, case studies, innovative concepts, and other factors that impact the development of realistic scenarios for smart surveillance. It also highlights innovative technology, designs, and algorithms that can accelerate the creation of smart city concepts.

This resource includes real-world applications and case studies for smart city technology, enormous data management, and machine learning prediction, all with confidentiality and safety problems.

The Internet of Things (IoT) has numerous applications, including smart cities, industries, cloud-based apps, smart homes, and surveillance.

The Internet of Things (IoT) enables smarter living by connecting devices, people, and objects. As networking became a crucial aspect of the Internet, rigorous design analysis led to the development of new research areas.

The Internet of Things has revolutionized daily living in countless ways. It enables communication between buildings, people, portable gadgets, and vehicles, facilitating mobility. Smart cities and cloud-based data have transformed corporate practices. With billions of connected gadgets, everything will soon be able to communicate remotely. IoT networks, whether public or private, rely significantly on machine learning and software-defined networking. Indian and other governments have approved various research projects on IoT-based networking technologies. This field of study will significantly impact society in the future.

Researchers are concerned about the many application areas and driving forces behind smart cities. The authors aim to provide insights into software-defined networking, artificial intelligence, and machine learning technologies used in IoT and networking. The framework focuses on practical applications and infrastructures. The book includes practical challenges, case studies, innovative concepts, and other factors that impact the development of realistic scenarios for smart surveillance. It also highlights innovative technology, designs, and algorithms that can accelerate the creation of smart city concepts.

This resource includes real-world applications and case studies for smart city technology, enormous data management, and machine learning prediction, all with confidentiality and safety problems.

Nowadays, all of us are connected through a large number of sensor nodes, smart devices, and wireless terminals. For these Internet of Things (IoT) devices to operate seamlessly, the Wireless Sensor Network (WSN) needs to be robust to support huge volumes of data for information exchange, resource optimization, and energy efficiency. This book provides in-depth information about the emerging paradigms of IoT and WSN in new communication scenarios for energy-efficient and reliable information exchange between a large number of sensor nodes and applications.

WSN and IoT: An Integrated Approach for Smart Applications discusses how the integration of IoT and WSN enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of machine learning (ML), artificial intelligence (AI), deep learning (DL), and blockchain technologies which give way to intelligent networks. This book presents how technological advancement is beneficial for real-time applications involving a massive number of devices and discusses how the network carries huge amounts of data allowing information to be communicated over the Internet. Intelligent transportation involving connected vehicles and roadside units is highlighted to show how a reality created through the intelligent integration of IoT and WSN is possible. Convergence is discussed and its use in smart healthcare, where only through the intelligent connection of devices can patients be treated or monitored remotely for telemedicine or telesurgery applications. This book also looks at how sustainable development is achieved by the resource control mechanism enabling energy-efficient communication.

A wide range of communication paradigms related to smart cities, which includes smart healthcare, smart transportation, smart homes, and intelligent data processing, are covered in the book. It is aimed at academicians, researchers, advanced-level students, and engineers who are interested in the advancements of IoT and WSN for various applications in smart cities.

Nowadays, all of us are connected through a large number of sensor nodes, smart devices, and wireless terminals. For these Internet of Things (IoT) devices to operate seamlessly, the Wireless Sensor Network (WSN) needs to be robust to support huge volumes of data for information exchange, resource optimization, and energy efficiency. This book provides in-depth information about the emerging paradigms of IoT and WSN in new communication scenarios for energy-efficient and reliable information exchange between a large number of sensor nodes and applications.

WSN and IoT: An Integrated Approach for Smart Applications discusses how the integration of IoT and WSN enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of machine learning (ML), artificial intelligence (AI), deep learning (DL), and blockchain technologies which give way to intelligent networks. This book presents how technological advancement is beneficial for real-time applications involving a massive number of devices and discusses how the network carries huge amounts of data allowing information to be communicated over the Internet. Intelligent transportation involving connected vehicles and roadside units is highlighted to show how a reality created through the intelligent integration of IoT and WSN is possible. Convergence is discussed and its use in smart healthcare, where only through the intelligent connection of devices can patients be treated or monitored remotely for telemedicine or telesurgery applications. This book also looks at how sustainable development is achieved by the resource control mechanism enabling energy-efficient communication.

A wide range of communication paradigms related to smart cities, which includes smart healthcare, smart transportation, smart homes, and intelligent data processing, are covered in the book. It is aimed at academicians, researchers, advanced-level students, and engineers who are interested in the advancements of IoT and WSN for various applications in smart cities.

The proceedings of the first International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2024) present a rich repository of cutting-edge research on smart computing, artificial intelligence and machine learning.

It highlights technological breakthroughs and practical challenges in the field of edge learning, data mining, image processing, smart communications, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems and imaging. It also explores a wide range of communication paradigms, especially those pertaining to smart cities by delving deeper into smart healthcare, smart transportation and intelligent data processing. The findings are instrumental in combating critical global issues and foster a deeper understanding of the role of AI in shaping the world we live in.

This will be a highly valuable guide to researchers, data scientists, practicing professionals and students in the fields of artificial intelligence, machine learning and data processing.

The proceedings of the first International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2024) present a rich repository of cutting-edge research on smart computing, artificial intelligence and machine learning.

It highlights technological breakthroughs and practical challenges in the field of edge learning, data mining, image processing, smart communications, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems and imaging. It also explores a wide range of communication paradigms, especially those pertaining to smart cities by delving deeper into smart healthcare, smart transportation and intelligent data processing. The findings are instrumental in combating critical global issues and foster a deeper understanding of the role of AI in shaping the world we live in.

This will be a highly valuable guide to researchers, data scientists, practicing professionals and students in the fields of artificial intelligence, machine learning and data processing.

This book compiles the proceedings of the Second International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2025). It brings together high-quality research, practical insights, and scholarly debate in the field of smart computing, artificial intelligence, machine learning, edge learning, data mining, image processing, smart communication, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems, imaging, and edge intelligence.

This volume provides comprehensive coverage of emerging technologies, innovations, and trends shaping modern smart systems. It addresses real-world deployment challenges while presenting effective solutions, offering readers practical insights into communication paradigms essential for smart city ecosystems. Key focus areas include smart healthcare, smart transportation, and intelligent data processing, with detailed analysis of how advanced technologies enhance efficiency, safety, and decision-making.

The integration of theoretical concepts with practical applications makes this an invaluable resource for researchers, academicians, industry professionals, and students exploring smart cities and next-generation communication systems.

This book compiles the proceedings of the Second International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2025). It brings together high-quality research, practical insights, and scholarly debate in the field of smart computing, artificial intelligence, machine learning, edge learning, data mining, image processing, smart communication, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems, imaging, and edge intelligence.

This volume provides comprehensive coverage of emerging technologies, innovations, and trends shaping modern smart systems. It addresses real-world deployment challenges while presenting effective solutions, offering readers practical insights into communication paradigms essential for smart city ecosystems. Key focus areas include smart healthcare, smart transportation, and intelligent data processing, with detailed analysis of how advanced technologies enhance efficiency, safety, and decision-making.

The integration of theoretical concepts with practical applications makes this an invaluable resource for researchers, academicians, industry professionals, and students exploring smart cities and next-generation communication systems.

As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue.

Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems.

Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’, and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.

As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue.

Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems.

Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’, and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.

Explore the latest healthcare applications of cutting-edge technologies

In IoT-Enabled Smart Healthcare Systems, Services and Applications, an accomplished team of researchers delivers an insightful and comprehensive exploration of the roles played by cutting-edge technologies in modern healthcare delivery. The distinguished editors have included resources from a diverse array of learned experts in the field that combine to create a broad examination of a rapidly developing field.

With a particular focus on Internet of Things (IoT) technologies, readers will discover how new technologies are impacting healthcare applications from remote monitoring systems to entire healthcare delivery methodologies. After an introduction to the role of emerging technologies in smart health care, this volume includes treatments of ICN-Fog computing, edge computing, security and privacy, IoT architecture, vehicular ad-hoc networks (VANETs), and patient surveillance systems, all in the context of healthcare delivery.

Readers will also find:

Perfect for healthcare practitioners and allied health professionals, hospital administrators, and technology professionals, IoT-Enabled Smart Healthcare Systems, Services and Applications is an indispensable addition to the libraries of healthcare regulators and policymakers seeking a one-stop resource that explains cutting-edge technologies in modern healthcare.

Explore the latest healthcare applications of cutting-edge technologies

In IoT-Enabled Smart Healthcare Systems, Services and Applications, an accomplished team of researchers delivers an insightful and comprehensive exploration of the roles played by cutting-edge technologies in modern healthcare delivery. The distinguished editors have included resources from a diverse array of learned experts in the field that combine to create a broad examination of a rapidly developing field.

With a particular focus on Internet of Things (IoT) technologies, readers will discover how new technologies are impacting healthcare applications from remote monitoring systems to entire healthcare delivery methodologies. After an introduction to the role of emerging technologies in smart health care, this volume includes treatments of ICN-Fog computing, edge computing, security and privacy, IoT architecture, vehicular ad-hoc networks (VANETs), and patient surveillance systems, all in the context of healthcare delivery.

Readers will also find:

Perfect for healthcare practitioners and allied health professionals, hospital administrators, and technology professionals, IoT-Enabled Smart Healthcare Systems, Services and Applications is an indispensable addition to the libraries of healthcare regulators and policymakers seeking a one-stop resource that explains cutting-edge technologies in modern healthcare.

A helpful introduction to all aspects of quantum computing

Quantum computing is a field combining quantum mechanics—the physical science of nature at the scale of atoms and subatomic particles—and information science. Where ordinary computing uses bits, logical values whose position can either be 0 or 1, quantum computing is built around qubits, a fundamental unit of quantum information which can exist in a superposition of both states. As quantum computers are able to complete certain kinds of functions more accurately and efficiently than computers built on classical binary logic, quantum computing is an emerging frontier which promises to revolutionize information science and its applications.

This book provides a concise, accessible introduction to quantum computing. It begins by introducing the essentials of quantum mechanics that information and computer scientists require, before moving to detailed discussions of quantum computing in theory and practice. As quantum computing becomes an ever-greater part of the global information technology landscape, the knowledge in Quantum Computing will position readers to join a vital and highly marketable field of research and development.

The book’s readers will also find:

Quantum Computing is perfect for advanced undergraduate and graduate students in computer science, engineering, mathematics, or the physical sciences, as well as for researchers and academics at the intersection of these fields who want a concise reference.