Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book''s distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.

This book:

Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics

Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing

Provides an assessment of Fog Computing and its applications in the field of IoT

Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing

Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing

Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications

Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book''s distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.

This book:

Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics

Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing

Provides an assessment of Fog Computing and its applications in the field of IoT

Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing

Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing

Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications

Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.This book: Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing Provides an assessment of Fog Computing and its applications in the field of IoT Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.This book: Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing Provides an assessment of Fog Computing and its applications in the field of IoT Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Green computing is a revolutionary technique that addresses environmental sustainability. It uses an eco-friendly approach to the design, manufacture, and use of computing resources. This is achieved by cutting down on electronic waste, using renewable energy sources, and consuming less energy. Recyclable materials with minimal environmental impact, software engineering techniques that are optimized, and energy-efficient hardware are examples of many approaches. Advanced technologies such as low-power processors, smart grids, and virtualized computing environments contribute to energy efficiency and waste reduction. Furthermore, integrating green computing with renewable energy sources amplifies its positive impact on the environment. The adoption of green computing practices promotes a circular economy, encourages resource conservation, and supports climate action.Green Computing for Sustainable Development features chapters that explore issues that are concerned with furthering sustainability and green computing. Highlights include the following:Neuro-symbolic green computing combining neural networks' learning abilities with symbolic AI's logical reasoning while promoting environmentally friendly practicesEnergy-efficient data management, resource provisioning, and the importance of monitoring carbon footprintsThe intersection of green computing and wildlife conservation, highlighting how energy-efficient technologies can revolutionize conservation effortsThe integration of geospatial information systems (GIS) and remote sensing (RS) as innovative solutions for sustainable developmentThe role of information and communication technology (ICT) in promoting health and well-beingThe importance of green computing due to growing environmental concerns related to information technologyThe integration of AI in sustainable farming practicesThe synergy between green computing practices and economic growth in achieving sustainable developmentThe integration of green computing with e-waste management to tackle environmental challenges in the IT sectorHow the "green Internet of Things" (IoT) is transforming smart city development by integrating ecological awareness and sustainability into urban planningThis book covers the wide range of principles essential for achieving long-term sustainability. It is a step toward fostering a balanced relationship between technological advancement and environmental stewardship.

Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today’s issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies.

The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.

Key highlights:

Introduces the concept of autonomous navigation to help readers understand the technology from ground up Covers the architecture, including robot positioning, navigation, and control Provides information about the use of simulation tools and machine learning techniques for the implementation of autonomous navigation Provides in-depth knowledge on the use of emerging technologies in navigation of mobile devices along with the use of ICT in autonomous navigation Discusses the present and the future of the robotics industry

Presenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.

Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today’s issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies.

The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.

Key highlights:

Introduces the concept of autonomous navigation to help readers understand the technology from ground up Covers the architecture, including robot positioning, navigation, and control Provides information about the use of simulation tools and machine learning techniques for the implementation of autonomous navigation Provides in-depth knowledge on the use of emerging technologies in navigation of mobile devices along with the use of ICT in autonomous navigation Discusses the present and the future of the robotics industry

Presenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.

Green computing is a revolutionary technique that addresses environmental sustainability. It uses an eco-friendly approach to the design, manufacture, and use of computing resources. This is achieved by cutting down on electronic waste, using renewable energy sources, and consuming less energy. Recyclable materials with minimal environmental impact, software engineering techniques that are optimized, and energy-efficient hardware are examples of many approaches. Advanced technologies such as low-power processors, smart grids, and virtualized computing environments contribute to energy efficiency and waste reduction. Furthermore, integrating green computing with renewable energy sources amplifies its positive impact on the environment. The adoption of green computing practices promotes a circular economy, encourages resource conservation, and supports climate action.Green Computing for Sustainable Development features chapters that explore issues that are concerned with furthering sustainability and green computing. Highlights include the following:Neuro-symbolic green computing combining neural networks' learning abilities with symbolic AI's logical reasoning while promoting environmentally friendly practicesEnergy-efficient data management, resource provisioning, and the importance of monitoring carbon footprintsThe intersection of green computing and wildlife conservation, highlighting how energy-efficient technologies can revolutionize conservation effortsThe integration of geospatial information systems (GIS) and remote sensing (RS) as innovative solutions for sustainable developmentThe role of information and communication technology (ICT) in promoting health and well-beingThe importance of green computing due to growing environmental concerns related to information technologyThe integration of AI in sustainable farming practicesThe synergy between green computing practices and economic growth in achieving sustainable developmentThe integration of green computing with e-waste management to tackle environmental challenges in the IT sectorHow the "green Internet of Things" (IoT) is transforming smart city development by integrating ecological awareness and sustainability into urban planningThis book covers the wide range of principles essential for achieving long-term sustainability. It is a step toward fostering a balanced relationship between technological advancement and environmental stewardship.

Green computing is a revolutionary technique that addresses environmental sustainability. It uses an eco-friendly approach to the design, manufacture, and use of computing resources. This is achieved by cutting down on electronic waste, using renewable energy sources, and consuming less energy. Recyclable materials with minimal environmental impact, software engineering techniques that are optimized, and energy-efficient hardware are examples of many approaches. Advanced technologies such as low-power processors, smart grids, and virtualized computing environments contribute to energy efficiency and waste reduction. Furthermore, integrating green computing with renewable energy sources amplifies its positive impact on the environment. The adoption of green computing practices promotes a circular economy, encourages resource conservation, and supports climate action.Green Computing for Sustainable Development features chapters that explore issues that are concerned with furthering sustainability and green computing. Highlights include the following:Neuro-symbolic green computing combining neural networks' learning abilities with symbolic AI's logical reasoning while promoting environmentally friendly practicesEnergy-efficient data management, resource provisioning, and the importance of monitoring carbon footprintsThe intersection of green computing and wildlife conservation, highlighting how energy-efficient technologies can revolutionize conservation effortsThe integration of geospatial information systems (GIS) and remote sensing (RS) as innovative solutions for sustainable developmentThe role of information and communication technology (ICT) in promoting health and well-beingThe importance of green computing due to growing environmental concerns related to information technologyThe integration of AI in sustainable farming practicesThe synergy between green computing practices and economic growth in achieving sustainable developmentThe integration of green computing with e-waste management to tackle environmental challenges in the IT sectorHow the "green Internet of Things" (IoT) is transforming smart city development by integrating ecological awareness and sustainability into urban planningThis book covers the wide range of principles essential for achieving long-term sustainability. It is a step toward fostering a balanced relationship between technological advancement and environmental stewardship.

The story revolves around a professor and students who come to college to learn security analysis and portfolio management. There is romance, tragedy, suspense, and finally, how students use the knowledge of the stock market to generate money to treat their professor and bring him back from the jaws of death.The book is ideal for1. those who are not from a financial background but have interest in the stock market,2. students who want to pursue a career in the capital market, and3. men and women who want to invest in the stock market. It can also read as a novel for pure pleasure.It can become a must-read book for everyone before graduating to more complex and specific books on the financial market.

Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today’s issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies.The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.Key highlights:Introduces the concept of autonomous navigation to help readers understand the technology from ground upCovers the architecture, including robot positioning, navigation, and controlProvides information about the use of simulation tools and machine learning techniques for the implementation of autonomous navigationProvides in-depth knowledge on the use of emerging technologies in navigation of mobile devices along with the use of ICT in autonomous navigationDiscusses the present and the future of the robotics industryPresenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book''s distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.

This book:

Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics

Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing

Provides an assessment of Fog Computing and its applications in the field of IoT

Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing

Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing

Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications

Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book''s distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.

This book:

Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics

Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing

Provides an assessment of Fog Computing and its applications in the field of IoT

Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing

Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing

Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications

Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.This book: Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing Provides an assessment of Fog Computing and its applications in the field of IoT Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.This book: Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing Provides an assessment of Fog Computing and its applications in the field of IoT Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Green computing is a revolutionary technique that addresses environmental sustainability. It uses an eco-friendly approach to the design, manufacture, and use of computing resources. This is achieved by cutting down on electronic waste, using renewable energy sources, and consuming less energy. Recyclable materials with minimal environmental impact, software engineering techniques that are optimized, and energy-efficient hardware are examples of many approaches. Advanced technologies such as low-power processors, smart grids, and virtualized computing environments contribute to energy efficiency and waste reduction. Furthermore, integrating green computing with renewable energy sources amplifies its positive impact on the environment. The adoption of green computing practices promotes a circular economy, encourages resource conservation, and supports climate action.Green Computing for Sustainable Development features chapters that explore issues that are concerned with furthering sustainability and green computing. Highlights include the following:Neuro-symbolic green computing combining neural networks' learning abilities with symbolic AI's logical reasoning while promoting environmentally friendly practicesEnergy-efficient data management, resource provisioning, and the importance of monitoring carbon footprintsThe intersection of green computing and wildlife conservation, highlighting how energy-efficient technologies can revolutionize conservation effortsThe integration of geospatial information systems (GIS) and remote sensing (RS) as innovative solutions for sustainable developmentThe role of information and communication technology (ICT) in promoting health and well-beingThe importance of green computing due to growing environmental concerns related to information technologyThe integration of AI in sustainable farming practicesThe synergy between green computing practices and economic growth in achieving sustainable developmentThe integration of green computing with e-waste management to tackle environmental challenges in the IT sectorHow the "green Internet of Things" (IoT) is transforming smart city development by integrating ecological awareness and sustainability into urban planningThis book covers the wide range of principles essential for achieving long-term sustainability. It is a step toward fostering a balanced relationship between technological advancement and environmental stewardship.

Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today’s issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies.

The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.

Key highlights:

Introduces the concept of autonomous navigation to help readers understand the technology from ground up Covers the architecture, including robot positioning, navigation, and control Provides information about the use of simulation tools and machine learning techniques for the implementation of autonomous navigation Provides in-depth knowledge on the use of emerging technologies in navigation of mobile devices along with the use of ICT in autonomous navigation Discusses the present and the future of the robotics industry

Presenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.

Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today’s issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies.

The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.

Key highlights:

Introduces the concept of autonomous navigation to help readers understand the technology from ground up Covers the architecture, including robot positioning, navigation, and control Provides information about the use of simulation tools and machine learning techniques for the implementation of autonomous navigation Provides in-depth knowledge on the use of emerging technologies in navigation of mobile devices along with the use of ICT in autonomous navigation Discusses the present and the future of the robotics industry

Presenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.

Green computing is a revolutionary technique that addresses environmental sustainability. It uses an eco-friendly approach to the design, manufacture, and use of computing resources. This is achieved by cutting down on electronic waste, using renewable energy sources, and consuming less energy. Recyclable materials with minimal environmental impact, software engineering techniques that are optimized, and energy-efficient hardware are examples of many approaches. Advanced technologies such as low-power processors, smart grids, and virtualized computing environments contribute to energy efficiency and waste reduction. Furthermore, integrating green computing with renewable energy sources amplifies its positive impact on the environment. The adoption of green computing practices promotes a circular economy, encourages resource conservation, and supports climate action.Green Computing for Sustainable Development features chapters that explore issues that are concerned with furthering sustainability and green computing. Highlights include the following:Neuro-symbolic green computing combining neural networks' learning abilities with symbolic AI's logical reasoning while promoting environmentally friendly practicesEnergy-efficient data management, resource provisioning, and the importance of monitoring carbon footprintsThe intersection of green computing and wildlife conservation, highlighting how energy-efficient technologies can revolutionize conservation effortsThe integration of geospatial information systems (GIS) and remote sensing (RS) as innovative solutions for sustainable developmentThe role of information and communication technology (ICT) in promoting health and well-beingThe importance of green computing due to growing environmental concerns related to information technologyThe integration of AI in sustainable farming practicesThe synergy between green computing practices and economic growth in achieving sustainable developmentThe integration of green computing with e-waste management to tackle environmental challenges in the IT sectorHow the "green Internet of Things" (IoT) is transforming smart city development by integrating ecological awareness and sustainability into urban planningThis book covers the wide range of principles essential for achieving long-term sustainability. It is a step toward fostering a balanced relationship between technological advancement and environmental stewardship.

Green computing is a revolutionary technique that addresses environmental sustainability. It uses an eco-friendly approach to the design, manufacture, and use of computing resources. This is achieved by cutting down on electronic waste, using renewable energy sources, and consuming less energy. Recyclable materials with minimal environmental impact, software engineering techniques that are optimized, and energy-efficient hardware are examples of many approaches. Advanced technologies such as low-power processors, smart grids, and virtualized computing environments contribute to energy efficiency and waste reduction. Furthermore, integrating green computing with renewable energy sources amplifies its positive impact on the environment. The adoption of green computing practices promotes a circular economy, encourages resource conservation, and supports climate action.Green Computing for Sustainable Development features chapters that explore issues that are concerned with furthering sustainability and green computing. Highlights include the following:Neuro-symbolic green computing combining neural networks' learning abilities with symbolic AI's logical reasoning while promoting environmentally friendly practicesEnergy-efficient data management, resource provisioning, and the importance of monitoring carbon footprintsThe intersection of green computing and wildlife conservation, highlighting how energy-efficient technologies can revolutionize conservation effortsThe integration of geospatial information systems (GIS) and remote sensing (RS) as innovative solutions for sustainable developmentThe role of information and communication technology (ICT) in promoting health and well-beingThe importance of green computing due to growing environmental concerns related to information technologyThe integration of AI in sustainable farming practicesThe synergy between green computing practices and economic growth in achieving sustainable developmentThe integration of green computing with e-waste management to tackle environmental challenges in the IT sectorHow the "green Internet of Things" (IoT) is transforming smart city development by integrating ecological awareness and sustainability into urban planningThis book covers the wide range of principles essential for achieving long-term sustainability. It is a step toward fostering a balanced relationship between technological advancement and environmental stewardship.

The story revolves around a professor and students who come to college to learn security analysis and portfolio management. There is romance, tragedy, suspense, and finally, how students use the knowledge of the stock market to generate money to treat their professor and bring him back from the jaws of death.The book is ideal for1. those who are not from a financial background but have interest in the stock market,2. students who want to pursue a career in the capital market, and3. men and women who want to invest in the stock market. It can also read as a novel for pure pleasure.It can become a must-read book for everyone before graduating to more complex and specific books on the financial market.

Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today’s issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies.The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.Key highlights:Introduces the concept of autonomous navigation to help readers understand the technology from ground upCovers the architecture, including robot positioning, navigation, and controlProvides information about the use of simulation tools and machine learning techniques for the implementation of autonomous navigationProvides in-depth knowledge on the use of emerging technologies in navigation of mobile devices along with the use of ICT in autonomous navigationDiscusses the present and the future of the robotics industryPresenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.