Shubham Tayal – författare

High-k Materials in Multi-Gate FET Devices focuses on high-k materials for advanced FET devices. It discusses emerging challenges in the engineering and applications and considers issues with associated technologies. It covers the various way of utilizing high-k dielectrics in multi-gate FETs for enhancing their performance at the device as well as circuit level.

This book is of value to researchers in materials science, electronics engineering, semiconductor device modeling, IT, and related disciplines studying nanodevices such as FinFET and Tunnel FET and device-circuit codesign issues.

High-k Materials in Multi-Gate FET Devices focuses on high-k materials for advanced FET devices. It discusses emerging challenges in the engineering and applications and considers issues with associated technologies. It covers the various way of utilizing high-k dielectrics in multi-gate FETs for enhancing their performance at the device as well as circuit level.

This book is of value to researchers in materials science, electronics engineering, semiconductor device modeling, IT, and related disciplines studying nanodevices such as FinFET and Tunnel FET and device-circuit codesign issues.

Internet of things (IoT) is the connection and communication of physical objects (smart devices) over the internet. In this recent age, people’s daily lives are dependent on the internet through their smartphones, tablets, Smart TVs, micro-controllers, Smart Tags, computers, laptops, and cars to name a few. This book discusses different ways to create a better IoT network and/or IoT platforms to improve the efficiency and quality of these products and subsequently their users'' lives. In addition, this book provides future research directions in energy, industry, and healthcare, and explores the different applications of IoT and its associated technologies. It provides an overview and explanation of the software architecture, middleware, data processing and data management as well as security, sensors, actuators and algorithms used to create a working IoT platform. The editors then go on to examine IoT networks and platforms as they relate to energy industry including, energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues. They then explore IoT as it applies to healthcare including biomedical image and signal analysis and disease prediction and diagnosis. Finally the editors examine the prospects and applications of IoT for industry through the concepts of smart industry, including architecture, blockchain, and Industry 4.0. This book is intended for senior undergraduate and graduate students, researchers and industry professionals working on IoT applications and infrastructure.

Internet of things (IoT) is the connection and communication of physical objects (smart devices) over the internet. In this recent age, people’s daily lives are dependent on the internet through their smartphones, tablets, Smart TVs, micro-controllers, Smart Tags, computers, laptops, and cars to name a few. This book discusses different ways to create a better IoT network and/or IoT platforms to improve the efficiency and quality of these products and subsequently their users'' lives. In addition, this book provides future research directions in energy, industry, and healthcare, and explores the different applications of IoT and its associated technologies. It provides an overview and explanation of the software architecture, middleware, data processing and data management as well as security, sensors, actuators and algorithms used to create a working IoT platform. The editors then go on to examine IoT networks and platforms as they relate to energy industry including, energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues. They then explore IoT as it applies to healthcare including biomedical image and signal analysis and disease prediction and diagnosis. Finally the editors examine the prospects and applications of IoT for industry through the concepts of smart industry, including architecture, blockchain, and Industry 4.0. This book is intended for senior undergraduate and graduate students, researchers and industry professionals working on IoT applications and infrastructure.

Advanced materials are essential for economic security and human well-being, with applications in industries aimed at addressing challenges in clean energy, national security, and human welfare. Yet, it can take years to move a material to the market after its initial discovery. Computational techniques have accelerated the exploration and development of materials, offering the chance to move new materials to the market quickly. Computational Technologies in Materials Science addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It explores characterization and fabrication of materials, machine-learning-based models, and computational intelligence for the synthesis and identification of materials. This book

• Covers material testing and development using computational intelligence

• Highlights the technologies to integrate computational intelligence and materials science

• Details case studies and detailed applications

• Investigates challenges in developing and using computational intelligence in materials science

• Analyzes historic changes that are taking place in designing materials.

This book encourages material researchers and academics to develop novel theories and sustainable computational techniques and explores the potential for computational intelligence to replace traditional materials research.

Advanced materials are essential for economic security and human well-being, with applications in industries aimed at addressing challenges in clean energy, national security, and human welfare. Yet, it can take years to move a material to the market after its initial discovery. Computational techniques have accelerated the exploration and development of materials, offering the chance to move new materials to the market quickly. Computational Technologies in Materials Science addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It explores characterization and fabrication of materials, machine-learning-based models, and computational intelligence for the synthesis and identification of materials. This book

• Covers material testing and development using computational intelligence

• Highlights the technologies to integrate computational intelligence and materials science

• Details case studies and detailed applications

• Investigates challenges in developing and using computational intelligence in materials science

• Analyzes historic changes that are taking place in designing materials.

This book encourages material researchers and academics to develop novel theories and sustainable computational techniques and explores the potential for computational intelligence to replace traditional materials research.

This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer.

This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book.

This book:

• Includes detailed applications of cybersecurity and forensics for real-life problems

• Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies

• Includes the latest trends and areas of research in cybersecurity and forensics

• Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchers

Prof. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India.

Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India.

Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India.

Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.

This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer.

This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book.

This book:

• Includes detailed applications of cybersecurity and forensics for real-life problems

• Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies

• Includes the latest trends and areas of research in cybersecurity and forensics

• Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchers

Prof. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India.

Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India.

Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India.

Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.

This book introduces Bayesian reasoning and Gaussian processes into machine learning applications. Bayesian methods are applied in many areas, such as game development, decision making, and drug discovery. It is very effective for machine learning algorithms in handling missing data and extracting information from small datasets. Bayesian Reasoning and Gaussian Processes for Machine Learning Applications uses a statistical background to understand continuous distributions and how learning can be viewed from a probabilistic framework. The chapters progress into such machine learning topics as belief network and Bayesian reinforcement learning, which is followed by Gaussian process introduction, classification, regression, covariance, and performance analysis of Gaussian processes with other models.

FEATURES

This book is aimed at graduates, researchers, and professionals in the field of data science and machine learning.

This book introduces Bayesian reasoning and Gaussian processes into machine learning applications. Bayesian methods are applied in many areas, such as game development, decision making, and drug discovery. It is very effective for machine learning algorithms in handling missing data and extracting information from small datasets. Bayesian Reasoning and Gaussian Processes for Machine Learning Applications uses a statistical background to understand continuous distributions and how learning can be viewed from a probabilistic framework. The chapters progress into such machine learning topics as belief network and Bayesian reinforcement learning, which is followed by Gaussian process introduction, classification, regression, covariance, and performance analysis of Gaussian processes with other models.

FEATURES

This book is aimed at graduates, researchers, and professionals in the field of data science and machine learning.

This book gives insight into the emerging semiconductor devices from their applications in electronic circuits. It discusses the challenges in the field of engineering and applications of advanced low-power devices.

Emerging Low-Power Semiconductor Devices: Applications for Future Technology Nodes offers essential exposure to low-power devices, and applications in wireless, biosensing, and circuit domains. This book provides a detailed discussion on all aspects, including the current and future scenarios related to the low-power device. The book also presents basic knowledge about field-effect transistor (FET) devices and introduces emerging and novel FET devices. The chapters include a review of the usage of FET devices in various domains like biosensing, wireless, and cryogenics applications. The chapters also explore device-circuit co-design issues in the digital and analog domains. The content is presented in an easy-to-follow manner that makes it ideal for individuals new to the subject.

This book is intended for scientists, researchers, and postgraduate students looking for an understanding of device physics, circuits, and systems.

This book gives insight into the emerging semiconductor devices from their applications in electronic circuits. It discusses the challenges in the field of engineering and applications of advanced low-power devices.

Emerging Low-Power Semiconductor Devices: Applications for Future Technology Nodes offers essential exposure to low-power devices, and applications in wireless, biosensing, and circuit domains. This book provides a detailed discussion on all aspects, including the current and future scenarios related to the low-power device. The book also presents basic knowledge about field-effect transistor (FET) devices and introduces emerging and novel FET devices. The chapters include a review of the usage of FET devices in various domains like biosensing, wireless, and cryogenics applications. The chapters also explore device-circuit co-design issues in the digital and analog domains. The content is presented in an easy-to-follow manner that makes it ideal for individuals new to the subject.

This book is intended for scientists, researchers, and postgraduate students looking for an understanding of device physics, circuits, and systems.

This book concentrates on the sustainable applications of the Blockchain Technology across multiple latest computational knowledge domains. It covers the feasible and practical collaboration of Blockchain Technology with latest Sustainable Smart Computing Technologies. It will target the vast applications of Blockchain in the field of Internet of Things, Artificial Intelligence, and Cybersecurity. The book effectively provides satisfactory information about the essentials of Blockchain and IoT to a typical pursuer alongside encouraging an examination researcher to distinguish some modern issue regions that rise up out of the intermingling of the two advancements. Besides, the creators talk about pertinent application zones, for example, smart city, e-social insurance, and so forth along the course of the book.

• Covers the recent advancements in Blockchain technology

• Discusses the applications of Blockchain technology for real life problems

• Address the challenges related to implementation of Blockchain technology

• Includes case studies

• Includes the latest trends and area of research in Blockchain Technology

This book is primarily aimed at graduates, researchers and professions working in the field of blockchain technology.

This book concentrates on the sustainable applications of the Blockchain Technology across multiple latest computational knowledge domains. It covers the feasible and practical collaboration of Blockchain Technology with latest Sustainable Smart Computing Technologies. It will target the vast applications of Blockchain in the field of Internet of Things, Artificial Intelligence, and Cybersecurity. The book effectively provides satisfactory information about the essentials of Blockchain and IoT to a typical pursuer alongside encouraging an examination researcher to distinguish some modern issue regions that rise up out of the intermingling of the two advancements. Besides, the creators talk about pertinent application zones, for example, smart city, e-social insurance, and so forth along the course of the book.

• Covers the recent advancements in Blockchain technology

• Discusses the applications of Blockchain technology for real life problems

• Address the challenges related to implementation of Blockchain technology

• Includes case studies

• Includes the latest trends and area of research in Blockchain Technology

This book is primarily aimed at graduates, researchers and professions working in the field of blockchain technology.

This book will give insight into emerging semiconductor devices from their applications in electronic circuits, which form the backbone of electronic equipment. It provides desired exposure to the ever-growing field of low-power electronic devices and their applications in nanoscale devices, memory design, and biosensing applications.

Tunneling Field Effect Transistors: Design, Modeling and Applications brings researchers and engineers from various disciplines of the VLSI domain to together tackle the emerging challenges in the field of nanoelectronics and applications of advanced low-power devices. The book begins by discussing the challenges of conventional CMOS technology from the perspective of low-power applications, and it also reviews the basic science and developments of subthreshold swing technology and recent advancements in the field. The authors discuss the impact of semiconductor materials and architecture designs on TFET devices and the performance and usage of FET devices in various domains such as nanoelectronics, Memory Devices, and biosensing applications. They also cover a variety of FET devices, such as MOSFETs and TFETs, with various structures based on the tunneling transport phenomenon.

The contents of the book have been designed and arranged in such a way that Electrical Engineering students, researchers in the field of nanodevices and device-circuit codesign, as well as industry professionals working in the domain of semiconductor devices, will find the material useful and easy to follow.

This book will give insight into emerging semiconductor devices from their applications in electronic circuits, which form the backbone of electronic equipment. It provides desired exposure to the ever-growing field of low-power electronic devices and their applications in nanoscale devices, memory design, and biosensing applications.

Tunneling Field Effect Transistors: Design, Modeling and Applications brings researchers and engineers from various disciplines of the VLSI domain to together tackle the emerging challenges in the field of nanoelectronics and applications of advanced low-power devices. The book begins by discussing the challenges of conventional CMOS technology from the perspective of low-power applications, and it also reviews the basic science and developments of subthreshold swing technology and recent advancements in the field. The authors discuss the impact of semiconductor materials and architecture designs on TFET devices and the performance and usage of FET devices in various domains such as nanoelectronics, Memory Devices, and biosensing applications. They also cover a variety of FET devices, such as MOSFETs and TFETs, with various structures based on the tunneling transport phenomenon.

The contents of the book have been designed and arranged in such a way that Electrical Engineering students, researchers in the field of nanodevices and device-circuit codesign, as well as industry professionals working in the domain of semiconductor devices, will find the material useful and easy to follow.

Human–Machine Interface Technology Advancements and Applications focuses on analysis, design, and evaluation perspectives in HMI technological breakthroughs and applications. It covers a wide range of ideas, methodologies, approaches, and instruments to give the reader a thorough understanding of the field''s current academic and industry practice and debate. Physical, cognitive, social, and emotional factors are all considered in the work, which is exemplified by key application fields such as aerospace, automobile, medicine, and defense. This book covers AI and machine learning methodologies as well as biological signals and HMI applications. Nanotechnology, user interface design, and interactive systems are also featured. The MATLAB approach to signal processing applications is also included.

This book discusses advances in the field of human–machine interfaces and provides practical knowledge in biomedical signal processing, AI, and machine learning. It discusses augmented reality/virtual reality-based HMI applications. It examines advances in nanotechnology, user interface design, and interactive systems.

This book is intended to serve as a research guide that will both inform readers about the fundamentals of HMI from academic and industrial perspectives and provide a glimpse into how human-centered designers, such as engineers and human factors specialists, will attempt to design and develop human–machine systems in the future.

Human–Machine Interface Technology Advancements and Applications focuses on analysis, design, and evaluation perspectives in HMI technological breakthroughs and applications. It covers a wide range of ideas, methodologies, approaches, and instruments to give the reader a thorough understanding of the field''s current academic and industry practice and debate. Physical, cognitive, social, and emotional factors are all considered in the work, which is exemplified by key application fields such as aerospace, automobile, medicine, and defense. This book covers AI and machine learning methodologies as well as biological signals and HMI applications. Nanotechnology, user interface design, and interactive systems are also featured. The MATLAB approach to signal processing applications is also included.

This book discusses advances in the field of human–machine interfaces and provides practical knowledge in biomedical signal processing, AI, and machine learning. It discusses augmented reality/virtual reality-based HMI applications. It examines advances in nanotechnology, user interface design, and interactive systems.

This book is intended to serve as a research guide that will both inform readers about the fundamentals of HMI from academic and industrial perspectives and provide a glimpse into how human-centered designers, such as engineers and human factors specialists, will attempt to design and develop human–machine systems in the future.

This book provides an overview of emerging semiconductor devices and their applications in electronic circuits, which form the foundation of electronic devices. Device Circuit Co-Design Issues in FETs provides readers with a better understanding of the ever-growing field of low-power electronic devices and their applications in the wireless, biosensing, and circuit domains. The book brings researchers and engineers from various disciplines of the VLSI domain together to tackle the emerging challenges in the field of engineering and applications of advanced low-power devices in an effort to improve the performance of these technologies. The chapters examine the challenges and scope of FinFET device circuits, 3D FETs, and advanced FET for circuit applications. The book also discusses low-power memory design, neuromorphic computing, and issues related to thermal reliability. The authors provide a good understanding of device physics and circuits, and discuss transistors based on the new channel/dielectric materials and device architectures to achieve low-power dissipation and ultra-high switching speeds to fulfill the requirements of the semiconductor industry.

This book is intended for students, researchers, and professionals in the field of semiconductor devices and nanodevices, as well as those working on device-circuit co-design issues.

This book provides an overview of emerging semiconductor devices and their applications in electronic circuits, which form the foundation of electronic devices. Device Circuit Co-Design Issues in FETs provides readers with a better understanding of the ever-growing field of low-power electronic devices and their applications in the wireless, biosensing, and circuit domains. The book brings researchers and engineers from various disciplines of the VLSI domain together to tackle the emerging challenges in the field of engineering and applications of advanced low-power devices in an effort to improve the performance of these technologies. The chapters examine the challenges and scope of FinFET device circuits, 3D FETs, and advanced FET for circuit applications. The book also discusses low-power memory design, neuromorphic computing, and issues related to thermal reliability. The authors provide a good understanding of device physics and circuits, and discuss transistors based on the new channel/dielectric materials and device architectures to achieve low-power dissipation and ultra-high switching speeds to fulfill the requirements of the semiconductor industry.

This book is intended for students, researchers, and professionals in the field of semiconductor devices and nanodevices, as well as those working on device-circuit co-design issues.