This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.

This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.

This book focuses on 6G technology beyond 5G. The objective of next generation 6G wireless communications is to improve the benchmarks while simultaneously delivering additional services. Many widely expected future services, such as life‑critical services and wireless brain‑computer interactions, will be important to their success. This book presents the evolution of 6G technology, architecture, and implementation. This book provides a comprehensive overview of the theoretical and experimental modelling of 6G communication, providing detailed implementation issues and performance evaluation of emerging technologies along with research results, and networking methods.

This book:

• Contains a comprehensive overview of 6G communication network technology.

• Contains both fundamental theories and cutting‑edge technologies.

• Covers implementations, architecture, security, privacy, and reliability in 6G communication and performance analysis of the 6G communication.

• Future trends and applications covered include vehicle‑to‑everything, massive radio access networks, Massive IoT Access Cybertwin, Sustainable Society 5.0 using 6G communication.

• Covers the challenges and research directions to enable future research to make 6G communication a wireless solution for sustainability.

• Contains a comprehensive overview of 6G communication network technology.

• Contains both fundamental theories and cutting‑edge technologies.

• Covers implementations, architecture, security, privacy, and reliability in 6G communication and performance analysis of the 6G communication.

• Future trends and applications covered include vehicle‑to‑everything, massive radio access networks, Massive IoT Access Cybertwin, Sustainable Society 5.0 using 6G communication.

• Covers the challenges and research directions to enable future research to make 6G communication a wireless solution for sustainability.

This book is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, and computer science and engineering.

This book focuses on 6G technology beyond 5G. The objective of next generation 6G wireless communications is to improve the benchmarks while simultaneously delivering additional services. Many widely expected future services, such as life‑critical services and wireless brain‑computer interactions, will be important to their success. This book presents the evolution of 6G technology, architecture, and implementation. This book provides a comprehensive overview of the theoretical and experimental modelling of 6G communication, providing detailed implementation issues and performance evaluation of emerging technologies along with research results, and networking methods.

This book:

• Contains a comprehensive overview of 6G communication network technology.

• Contains both fundamental theories and cutting‑edge technologies.

• Covers implementations, architecture, security, privacy, and reliability in 6G communication and performance analysis of the 6G communication.

• Future trends and applications covered include vehicle‑to‑everything, massive radio access networks, Massive IoT Access Cybertwin, Sustainable Society 5.0 using 6G communication.

• Covers the challenges and research directions to enable future research to make 6G communication a wireless solution for sustainability.

• Contains a comprehensive overview of 6G communication network technology.

• Contains both fundamental theories and cutting‑edge technologies.

• Covers implementations, architecture, security, privacy, and reliability in 6G communication and performance analysis of the 6G communication.

• Future trends and applications covered include vehicle‑to‑everything, massive radio access networks, Massive IoT Access Cybertwin, Sustainable Society 5.0 using 6G communication.

• Covers the challenges and research directions to enable future research to make 6G communication a wireless solution for sustainability.

This book is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, and computer science and engineering.

Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design.

Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business.

Audience

The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design.

Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business.

Audience

The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

This book addresses FinFET-based analog IC designing for fifth generation (5G) communication networks and highlights the latest advances, problems, and challenges while presenting the latest research results in the field of mmwave integrated circuits designing.

The wireless communication sector is experiencing exponential expansion, particularly in the areas of mobile data and the 5G mobile network, creating fresh market possibilities for designing the integrated circuits (ICs) needed in the industry. Drawing from scientific literature and practical realization, this book explores FinFET-based analog IC designing for 5G communication networks and considers the latest breakthroughs and obstacles. It also presents the recent research trends and future roadmaps for the 5G communication circuits.

RF Circuits for 5G Applications includes design guidelines to be considered when designing these circuits and detrimental scaling effects of the same. In addition, to enhance the usability of this book, the editors have included real-time problems in RFIC designing and case studies from experimental results, as well as clearly demarcated design guidelines for the 5G communication ICs designing.

Audience

The primary target audience includes researchers, postgraduate students, and industry professionals pursuing specializations in RF engineering, electronics engineering, electrical engineering, information, and communication technology.

This book addresses FinFET-based analog IC designing for fifth generation (5G) communication networks and highlights the latest advances, problems, and challenges while presenting the latest research results in the field of mmwave integrated circuits designing.

The wireless communication sector is experiencing exponential expansion, particularly in the areas of mobile data and the 5G mobile network, creating fresh market possibilities for designing the integrated circuits (ICs) needed in the industry. Drawing from scientific literature and practical realization, this book explores FinFET-based analog IC designing for 5G communication networks and considers the latest breakthroughs and obstacles. It also presents the recent research trends and future roadmaps for the 5G communication circuits.

RF Circuits for 5G Applications includes design guidelines to be considered when designing these circuits and detrimental scaling effects of the same. In addition, to enhance the usability of this book, the editors have included real-time problems in RFIC designing and case studies from experimental results, as well as clearly demarcated design guidelines for the 5G communication ICs designing.

Audience

The primary target audience includes researchers, postgraduate students, and industry professionals pursuing specializations in RF engineering, electronics engineering, electrical engineering, information, and communication technology.

Unlock the transformative potential of the Metaverse with this crucial book that delves into vital information, security concerns, and innovative applications that can significantly enhance personalized patient care in a rapidly evolving digital landscape.

This book explores insights into information security concerns, preventive measures, and their impact on healthcare applications in the Metaverse. The Metaverse is an amplified virtual world derived from the conjunction of virtual and physical space, where users can interact in an augmented world to meet each other virtually and engage in virtual activities that give authentic practice. The healthcare industry will tremendously benefit from this technology by using it to enhance personalized care for clients. Public health experts believe that while much has been said about the potential of the Metaverse in the entertainment and gaming industry, healthcare is another industry where its impact could be transformational. This volume provides a better understanding of healthcare applications in the Metaverse and why digital information security is of major concern. Recently, the world saw the impacts of the COVID-19 pandemic, which physically stopped mobility. Life is taken care of using digital interactions and the movement of information digitally through the Metaverse. This book explores implementation issues and performance evaluations of emerging technologies, along with research results and networking methods to demonstrate the immense benefits of this emerging technology.

Readers will find this book:

Audience

Researchers, students, educators, and healthcare professionals focused on information communication technologies and their benefits in healthcare.

This book will focus on the use of Blockchain 3.0 for sustainable development. This tool is invaluable for achieving transparency and trust, but possibilities to benefit society more broadly are emerging that will bring a bright future for sustainable development, too. The adoption of blockchain in agriculture, healthcare, infrastructure, education, environment, energy, communication will provide revolutionary changes in the digital era.

The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.

This book will focus on the use of Blockchain 3.0 for sustainable development. This tool is invaluable for achieving transparency and trust, but possibilities to benefit society more broadly are emerging that will bring a bright future for sustainable development, too. The adoption of blockchain in agriculture, healthcare, infrastructure, education, environment, energy, communication will provide revolutionary changes in the digital era.

The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.

This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.

This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.

This book focuses on 6G technology beyond 5G. The objective of next generation 6G wireless communications is to improve the benchmarks while simultaneously delivering additional services. Many widely expected future services, such as life‑critical services and wireless brain‑computer interactions, will be important to their success. This book presents the evolution of 6G technology, architecture, and implementation. This book provides a comprehensive overview of the theoretical and experimental modelling of 6G communication, providing detailed implementation issues and performance evaluation of emerging technologies along with research results, and networking methods.

This book:

• Contains a comprehensive overview of 6G communication network technology.

• Contains both fundamental theories and cutting‑edge technologies.

• Covers implementations, architecture, security, privacy, and reliability in 6G communication and performance analysis of the 6G communication.

• Future trends and applications covered include vehicle‑to‑everything, massive radio access networks, Massive IoT Access Cybertwin, Sustainable Society 5.0 using 6G communication.

• Covers the challenges and research directions to enable future research to make 6G communication a wireless solution for sustainability.

• Contains a comprehensive overview of 6G communication network technology.

• Contains both fundamental theories and cutting‑edge technologies.

• Covers implementations, architecture, security, privacy, and reliability in 6G communication and performance analysis of the 6G communication.

• Future trends and applications covered include vehicle‑to‑everything, massive radio access networks, Massive IoT Access Cybertwin, Sustainable Society 5.0 using 6G communication.

• Covers the challenges and research directions to enable future research to make 6G communication a wireless solution for sustainability.

This book is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, and computer science and engineering.

This book focuses on 6G technology beyond 5G. The objective of next generation 6G wireless communications is to improve the benchmarks while simultaneously delivering additional services. Many widely expected future services, such as life‑critical services and wireless brain‑computer interactions, will be important to their success. This book presents the evolution of 6G technology, architecture, and implementation. This book provides a comprehensive overview of the theoretical and experimental modelling of 6G communication, providing detailed implementation issues and performance evaluation of emerging technologies along with research results, and networking methods.

This book:

• Contains a comprehensive overview of 6G communication network technology.

• Contains both fundamental theories and cutting‑edge technologies.

• Covers implementations, architecture, security, privacy, and reliability in 6G communication and performance analysis of the 6G communication.

• Future trends and applications covered include vehicle‑to‑everything, massive radio access networks, Massive IoT Access Cybertwin, Sustainable Society 5.0 using 6G communication.

• Covers the challenges and research directions to enable future research to make 6G communication a wireless solution for sustainability.

• Contains a comprehensive overview of 6G communication network technology.

• Contains both fundamental theories and cutting‑edge technologies.

• Covers implementations, architecture, security, privacy, and reliability in 6G communication and performance analysis of the 6G communication.

• Future trends and applications covered include vehicle‑to‑everything, massive radio access networks, Massive IoT Access Cybertwin, Sustainable Society 5.0 using 6G communication.

• Covers the challenges and research directions to enable future research to make 6G communication a wireless solution for sustainability.

This book is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, and computer science and engineering.

Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design.

Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business.

Audience

The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design.

Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business.

Audience

The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

This book addresses FinFET-based analog IC designing for fifth generation (5G) communication networks and highlights the latest advances, problems, and challenges while presenting the latest research results in the field of mmwave integrated circuits designing.

The wireless communication sector is experiencing exponential expansion, particularly in the areas of mobile data and the 5G mobile network, creating fresh market possibilities for designing the integrated circuits (ICs) needed in the industry. Drawing from scientific literature and practical realization, this book explores FinFET-based analog IC designing for 5G communication networks and considers the latest breakthroughs and obstacles. It also presents the recent research trends and future roadmaps for the 5G communication circuits.

RF Circuits for 5G Applications includes design guidelines to be considered when designing these circuits and detrimental scaling effects of the same. In addition, to enhance the usability of this book, the editors have included real-time problems in RFIC designing and case studies from experimental results, as well as clearly demarcated design guidelines for the 5G communication ICs designing.

Audience

The primary target audience includes researchers, postgraduate students, and industry professionals pursuing specializations in RF engineering, electronics engineering, electrical engineering, information, and communication technology.

This book addresses FinFET-based analog IC designing for fifth generation (5G) communication networks and highlights the latest advances, problems, and challenges while presenting the latest research results in the field of mmwave integrated circuits designing.

The wireless communication sector is experiencing exponential expansion, particularly in the areas of mobile data and the 5G mobile network, creating fresh market possibilities for designing the integrated circuits (ICs) needed in the industry. Drawing from scientific literature and practical realization, this book explores FinFET-based analog IC designing for 5G communication networks and considers the latest breakthroughs and obstacles. It also presents the recent research trends and future roadmaps for the 5G communication circuits.

RF Circuits for 5G Applications includes design guidelines to be considered when designing these circuits and detrimental scaling effects of the same. In addition, to enhance the usability of this book, the editors have included real-time problems in RFIC designing and case studies from experimental results, as well as clearly demarcated design guidelines for the 5G communication ICs designing.

Audience

The primary target audience includes researchers, postgraduate students, and industry professionals pursuing specializations in RF engineering, electronics engineering, electrical engineering, information, and communication technology.

Unlock the transformative potential of the Metaverse with this crucial book that delves into vital information, security concerns, and innovative applications that can significantly enhance personalized patient care in a rapidly evolving digital landscape.

This book explores insights into information security concerns, preventive measures, and their impact on healthcare applications in the Metaverse. The Metaverse is an amplified virtual world derived from the conjunction of virtual and physical space, where users can interact in an augmented world to meet each other virtually and engage in virtual activities that give authentic practice. The healthcare industry will tremendously benefit from this technology by using it to enhance personalized care for clients. Public health experts believe that while much has been said about the potential of the Metaverse in the entertainment and gaming industry, healthcare is another industry where its impact could be transformational. This volume provides a better understanding of healthcare applications in the Metaverse and why digital information security is of major concern. Recently, the world saw the impacts of the COVID-19 pandemic, which physically stopped mobility. Life is taken care of using digital interactions and the movement of information digitally through the Metaverse. This book explores implementation issues and performance evaluations of emerging technologies, along with research results and networking methods to demonstrate the immense benefits of this emerging technology.

Readers will find this book:

Audience

Researchers, students, educators, and healthcare professionals focused on information communication technologies and their benefits in healthcare.

This book will focus on the use of Blockchain 3.0 for sustainable development. This tool is invaluable for achieving transparency and trust, but possibilities to benefit society more broadly are emerging that will bring a bright future for sustainable development, too. The adoption of blockchain in agriculture, healthcare, infrastructure, education, environment, energy, communication will provide revolutionary changes in the digital era.

The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.

This book will focus on the use of Blockchain 3.0 for sustainable development. This tool is invaluable for achieving transparency and trust, but possibilities to benefit society more broadly are emerging that will bring a bright future for sustainable development, too. The adoption of blockchain in agriculture, healthcare, infrastructure, education, environment, energy, communication will provide revolutionary changes in the digital era.

The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.