Balasubramaniam S – författare

Inbunden, Engelska, 2024

2 052 kr

Skickas inom 10-15 vardagar

This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including machine learning, deep learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and presents case studies of AI-based biometrics.

AI Based Advancements in Biometrics and its Applications

Häftad, Engelska, 2026

815 kr

Skickas inom 10-15 vardagar

This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including machine learning, deep learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and presents case studies of AI-based biometrics.

B. Sundaravadivazhagan, Balasubramaniam S, Pethuru Raj, K. Shantha Kumari - Applying Metaverse Technologies to Human-Computer Interaction for Healthcare, Inbunden

Applying Metaverse Technologies to Human-Computer Interaction for Healthcare

AvB. Sundaravadivazhagan,Balasubramaniam Sm. fl.

Inbunden, Engelska, 2025

2 719 kr

Skickas inom 10-15 vardagar

The concept of the metaverse signifies the forthcoming stage of development of the Internet, wherein it will facilitate the creation of virtual worlds that are enduring, decentralized, and capable of providing immersive experiences in real time. The metaverse has vast potential for utilization in the domains of life sciences and healthcare, hence motivating investigations in contemporary trends, early adoption use cases, and the forthcoming opportunities it presents. The metaverse also possesses the capacity to fundamentally transform decentralized clinical trials through the elimination of physical and geographical constraints. This change in thinking entails the relocation of clinical trials from conventional settings to the comfort and convenience of patients’ residences, resulting in improvements in health behavior, medication adherence, remote monitoring, and other associated factors.Applying Metaverse Technologies to Human-Computer Interaction for Healthcare focuses on the current developments in the metaverse, investigates its applications in the life sciences and healthcare industry based on metaverse powered human−computer interactions (HCI), analyzes early adoption use cases that provide measurable commercial benefits, and anticipates prospects in this rapidly evolving domain.The book examines the treatment, management, and prevention of illnesses with the use of immersive therapeutics that use augmented reality (AR), virtual reality (VR), and mixed reality (MR). It examines applications in cognitive therapy, support groups, psychiatric examinations, rehabilitation, and even physical therapy The book covers how healthcare practitioners have the capability to provide such services as diagnosis, treatment, monitoring, and care in remote settings, through the utilization of AR headsets and wearable devices. It concludes by discussing the continuous development of technology to facilitate the growth and maturation of the metaverse, hence enabling substantial business benefits for the life sciences and healthcare industries.

Nyhet

Applying Metaverse Technologies to Human-Computer Interaction for Healthcare

AvB. Sundaravadivazhagan,Balasubramaniam Sm. fl.

Häftad, Engelska, 2026

800 kr

Skickas inom 10-15 vardagar

The concept of the metaverse signifies the forthcoming stage of development of the Internet, wherein it will facilitate the creation of virtual worlds that are enduring, decentralized, and capable of providing immersive experiences in real time. The metaverse has vast potential for utilization in the domains of life sciences and healthcare, hence motivating investigations in contemporary trends, early adoption use cases, and the forthcoming opportunities it presents. The metaverse also possesses the capacity to fundamentally transform decentralized clinical trials through the elimination of physical and geographical constraints. This change in thinking entails the relocation of clinical trials from conventional settings to the comfort and convenience of patients’ residences, resulting in improvements in health behavior, medication adherence, remote monitoring, and other associated factors.Applying Metaverse Technologies to Human-Computer Interaction for Healthcare focuses on the current developments in the metaverse, investigates its applications in the life sciences and healthcare industry based on metaverse powered human−computer interactions (HCI), analyzes early adoption use cases that provide measurable commercial benefits, and anticipates prospects in this rapidly evolving domain.The book examines the treatment, management, and prevention of illnesses with the use of immersive therapeutics that use augmented reality (AR), virtual reality (VR), and mixed reality (MR). It examines applications in cognitive therapy, support groups, psychiatric examinations, rehabilitation, and even physical therapy The book covers how healthcare practitioners have the capability to provide such services as diagnosis, treatment, monitoring, and care in remote settings, through the utilization of AR headsets and wearable devices. It concludes by discussing the continuous development of technology to facilitate the growth and maturation of the metaverse, hence enabling substantial business benefits for the life sciences and healthcare industries.

S. Jayachitra, A. Prasanth, Rajesh Kumar Dhanaraj, Balasubramaniam S, Danilo Pelusi - Applications of Federated Learning in Technological Advancements, Inbunden

Applications of Federated Learning in Technological Advancements

Use Cases and Applications

AvS. Jayachitra,A. Prasanthm. fl.

Inbunden, Engelska, 2025

2 719 kr

Skickas inom 10-15 vardagar

This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins. Real-world examples and case studies illustrate federated learning’s role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into federated learning’s transformative potential, offering practical strategies for intelligent systems and sustainable environments. The book particularly:Focuses on the federated learning–based model optimization, addressing the significance of IoT and federated learning in the evolution of intelligent systems for various applicationsDescribes the different optimization techniques of federated learning systems from a practical point of viewHighlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/ 6G communication, and computing standardsProvides analysis of the use cases of federated learning regarding the development of IoT, AI, blockchain, digital twinsOffers strategies for overcoming challenges associated with federated learning systems, including connectivity, computation, threats, privacy, and security issuesIt covers fundamental concepts, practical implementations, and trends, to serve as a reference resource for professionals and researchers in the field.

Balasubramaniam S, Seifedine Kadry, Manoj Kumar TK, K. Satheesh Kumar - Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection, Inbunden

Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection

Inbunden, Engelska, 2025

2 488 kr

Skickas inom 10-15 vardagar

Currently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few decades, various techniques and algorithms have been created in disciplines such as genetic algorithms, artificial neural networks, evolutionary algorithms, and fuzzy algorithms. In the coming years, intelligent optimisation algorithms are anticipated to become more efficient in addressing various issues in engineering, scientific, medical, space, and artificial satellite fields, particularly in early disease diagnosis. A metaheuristic in computer science is designed to discover optimisation algorithms capable of solving intricate issues. Metaheuristics are optimisation algorithms that mimic biological behaviours of animals or birds and are utilised to discover the best solution for a certain problem. A meta-heuristic is an advanced approach used by heuristics to tackle intricate optimisation problems. A metaheuristic in mathematical programming is a method that seeks a solution to an optimisation problem. Metaheuristics utilise a heuristic function to assist in the search process. Heuristic search can be categorised as blind search or informed search. Meta-heuristic optimisation algorithms are gaining popularity in various applications due to their simplicity, independence from data trends, ability to find optimal solutions, and versatility across different fields.Recently, many nature-inspired computation algorithms have been utilised to diagnose people with different diseases. Nature-inspired methodologies are now widely utilised across several fields for tasks such as data analysis, decision-making, and optimisation. Techniques inspired by nature are categorised as either biology-based or natural phenomena-based. Bioinspired computing encompasses various topics in computer science, mathematics, and biology in recent years. Bio-inspired computer optimisation algorithms are a developing method that utilises concepts and inspiration from biological development to create new and resilient competitive strategies. Bio-inspired optimisation algorithms have gained recognition in machine learning and deep learning for solving complicated issues in science and engineering. Utilising BIAs learning methods with machine learning and deep learning shows great promise for accurately classifying medical conditions.This book explores the historical development of bio-inspired algorithms and their application in machine learning and deep learning models for disease diagnosis, including COVID-19, heart diseases, cancer, diabetes and some other diseases. It discusses the advantages of using bio-inspired algorithms in disease diagnosis and concludes with research directions and future prospects in this field.

Nyhet

Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection

Häftad, Engelska, 2026

815 kr

Skickas inom 10-15 vardagar

Currently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few decades, various techniques and algorithms have been created in disciplines such as genetic algorithms, artificial neural networks, evolutionary algorithms, and fuzzy algorithms. In the coming years, intelligent optimisation algorithms are anticipated to become more efficient in addressing various issues in engineering, scientific, medical, space, and artificial satellite fields, particularly in early disease diagnosis. A metaheuristic in computer science is designed to discover optimisation algorithms capable of solving intricate issues. Metaheuristics are optimisation algorithms that mimic biological behaviours of animals or birds and are utilised to discover the best solution for a certain problem. A meta-heuristic is an advanced approach used by heuristics to tackle intricate optimisation problems. A metaheuristic in mathematical programming is a method that seeks a solution to an optimisation problem. Metaheuristics utilise a heuristic function to assist in the search process. Heuristic search can be categorised as blind search or informed search. Meta-heuristic optimisation algorithms are gaining popularity in various applications due to their simplicity, independence from data trends, ability to find optimal solutions, and versatility across different fields.Recently, many nature-inspired computation algorithms have been utilised to diagnose people with different diseases. Nature-inspired methodologies are now widely utilised across several fields for tasks such as data analysis, decision-making, and optimisation. Techniques inspired by nature are categorised as either biology-based or natural phenomena-based. Bioinspired computing encompasses various topics in computer science, mathematics, and biology in recent years. Bio-inspired computer optimisation algorithms are a developing method that utilises concepts and inspiration from biological development to create new and resilient competitive strategies. Bio-inspired optimisation algorithms have gained recognition in machine learning and deep learning for solving complicated issues in science and engineering. Utilising BIAs learning methods with machine learning and deep learning shows great promise for accurately classifying medical conditions.This book explores the historical development of bio-inspired algorithms and their application in machine learning and deep learning models for disease diagnosis, including COVID-19, heart diseases, cancer, diabetes and some other diseases. It discusses the advantages of using bio-inspired algorithms in disease diagnosis and concludes with research directions and future prospects in this field.

Advances in Deep Generative Models for Healthcare and Medical Applications

Inbunden, Engelska, 2025

1 810 kr

Skickas inom 10-15 vardagar

This book provides a platform for research on deep generative models, with an emphasis on its healthcare applications. The book addresses the unanswered questions that stop these approaches from making a huge difference in real-world clinical practice. The goal of this book is to bring together a wide range of methodologies which are using generative models in health care-related contexts. The book leverages the recent methodological advancements in deep generative models to address critical health-care challenges across all data-types, paving the way for their practical integration into the healthcare system and elevate their impact on the future of healthcare.

AI Based Advancements in Biometrics and its Applications

AvRajesh Kumar Dhanaraj,A. Prasanthm. fl.

E-bok

PDF, Engelska, 2024

1 019 kr

Läs direkt efter köp

This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including machine learning, deep learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and presents case studies of AI-based biometrics.

AI Based Advancements in Biometrics and its Applications

AvRajesh Kumar Dhanaraj,A. Prasanthm. fl.

E-bok

Engelska, 2024

1 019 kr

Läs direkt efter köp

This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including machine learning, deep learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and presents case studies of AI-based biometrics.

K. Shantha Kumari, Pethuru Raj, Balasubramaniam S, B. Sundaravadivazhagan - Applying Metaverse Technologies to Human-Computer Interaction for Healthcare, E-bok

Applying Metaverse Technologies to Human-Computer Interaction for Healthcare

AvK. Shantha Kumari,Pethuru Rajm. fl.

E-bok

PDF, Engelska, 2025

3 030 kr

Läs direkt efter köp

The concept of the metaverse signifies the forthcoming stage of development of the Internet, wherein it will facilitate the creation of virtual worlds that are enduring, decentralized, and capable of providing immersive experiences in real time. The metaverse has vast potential for utilization in the domains of life sciences and healthcare, hence motivating investigations in contemporary trends, early adoption use cases, and the forthcoming opportunities it presents. The metaverse also possesses the capacity to fundamentally transform decentralized clinical trials through the elimination of physical and geographical constraints. This change in thinking entails the relocation of clinical trials from conventional settings to the comfort and convenience of patients’ residences, resulting in improvements in health behavior, medication adherence, remote monitoring, and other associated factors.

Applying Metaverse Technologies to Human-Computer Interaction for Healthcare focuses on the current developments in the metaverse, investigates its applications in the life sciences and healthcare industry based on metaverse powered human−computer interactions (HCI), analyzes early adoption use cases that provide measurable commercial benefits, and anticipates prospects in this rapidly evolving domain.

The book examines the treatment, management, and prevention of illnesses with the use of immersive therapeutics that use augmented reality (AR), virtual reality (VR), and mixed reality (MR). It examines applications in cognitive therapy, support groups, psychiatric examinations, rehabilitation, and even physical therapy The book covers how healthcare practitioners have the capability to provide such services as diagnosis, treatment, monitoring, and care in remote settings, through the utilization of AR headsets and wearable devices. It concludes by discussing the continuous development of technology to facilitate the growth and maturation of the metaverse, hence enabling substantial business benefits for the life sciences and healthcare industries.

Applying Metaverse Technologies to Human-Computer Interaction for Healthcare

AvK. Shantha Kumari,Pethuru Rajm. fl.

E-bok

Engelska, 2025

3 142 kr

Läs direkt efter köp

The concept of the metaverse signifies the forthcoming stage of development of the Internet, wherein it will facilitate the creation of virtual worlds that are enduring, decentralized, and capable of providing immersive experiences in real time. The metaverse has vast potential for utilization in the domains of life sciences and healthcare, hence motivating investigations in contemporary trends, early adoption use cases, and the forthcoming opportunities it presents. The metaverse also possesses the capacity to fundamentally transform decentralized clinical trials through the elimination of physical and geographical constraints. This change in thinking entails the relocation of clinical trials from conventional settings to the comfort and convenience of patients’ residences, resulting in improvements in health behavior, medication adherence, remote monitoring, and other associated factors.

Applying Metaverse Technologies to Human-Computer Interaction for Healthcare focuses on the current developments in the metaverse, investigates its applications in the life sciences and healthcare industry based on metaverse powered human−computer interactions (HCI), analyzes early adoption use cases that provide measurable commercial benefits, and anticipates prospects in this rapidly evolving domain.

The book examines the treatment, management, and prevention of illnesses with the use of immersive therapeutics that use augmented reality (AR), virtual reality (VR), and mixed reality (MR). It examines applications in cognitive therapy, support groups, psychiatric examinations, rehabilitation, and even physical therapy The book covers how healthcare practitioners have the capability to provide such services as diagnosis, treatment, monitoring, and care in remote settings, through the utilization of AR headsets and wearable devices. It concludes by discussing the continuous development of technology to facilitate the growth and maturation of the metaverse, hence enabling substantial business benefits for the life sciences and healthcare industries.

K. Satheesh Kumar, Manoj Kumar TK, Seifedine Kadry, Balasubramaniam S - Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection, E-bok

Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection

AvK. Satheesh Kumar,Manoj Kumar TKm. fl.

E-bok

PDF, Engelska, 2025

1 019 kr

Läs direkt efter köp

Currently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few decades, various techniques and algorithms have been created in disciplines such as genetic algorithms, artificial neural networks, evolutionary algorithms, and fuzzy algorithms. In the coming years, intelligent optimisation algorithms are anticipated to become more efficient in addressing various issues in engineering, scientific, medical, space, and artificial satellite fields, particularly in early disease diagnosis. A metaheuristic in computer science is designed to discover optimisation algorithms capable of solving intricate issues. Metaheuristics are optimisation algorithms that mimic biological behaviours of animals or birds and are utilised to discover the best solution for a certain problem. A meta-heuristic is an advanced approach used by heuristics to tackle intricate optimisation problems. A metaheuristic in mathematical programming is a method that seeks a solution to an optimisation problem. Metaheuristics utilise a heuristic function to assist in the search process. Heuristic search can be categorised as blind search or informed search. Meta-heuristic optimisation algorithms are gaining popularity in various applications due to their simplicity, independence from data trends, ability to find optimal solutions, and versatility across different fields.Recently, many nature-inspired computation algorithms have been utilised to diagnose people with different diseases. Nature-inspired methodologies are now widely utilised across several fields for tasks such as data analysis, decision-making, and optimisation. Techniques inspired by nature are categorised as either biology-based or natural phenomena-based. Bioinspired computing encompasses various topics in computer science, mathematics, and biology in recent years. Bio-inspired computer optimisation algorithms are a developing method that utilises concepts and inspiration from biological development to create new and resilient competitive strategies. Bio-inspired optimisation algorithms have gained recognition in machine learning and deep learning for solving complicated issues in science and engineering. Utilising BIAs learning methods with machine learning and deep learning shows great promise for accurately classifying medical conditions.This book explores the historical development of bio-inspired algorithms and their application in machine learning and deep learning models for disease diagnosis, including COVID-19, heart diseases, cancer, diabetes and some other diseases. It discusses the advantages of using bio-inspired algorithms in disease diagnosis and concludes with research directions and future prospects in this field.

Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection

AvK. Satheesh Kumar,Manoj Kumar TKm. fl.

E-bok

Engelska, 2025

1 019 kr

Läs direkt efter köp

Currently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few decades, various techniques and algorithms have been created in disciplines such as genetic algorithms, artificial neural networks, evolutionary algorithms, and fuzzy algorithms. In the coming years, intelligent optimisation algorithms are anticipated to become more efficient in addressing various issues in engineering, scientific, medical, space, and artificial satellite fields, particularly in early disease diagnosis. A metaheuristic in computer science is designed to discover optimisation algorithms capable of solving intricate issues. Metaheuristics are optimisation algorithms that mimic biological behaviours of animals or birds and are utilised to discover the best solution for a certain problem. A meta-heuristic is an advanced approach used by heuristics to tackle intricate optimisation problems. A metaheuristic in mathematical programming is a method that seeks a solution to an optimisation problem. Metaheuristics utilise a heuristic function to assist in the search process. Heuristic search can be categorised as blind search or informed search. Meta-heuristic optimisation algorithms are gaining popularity in various applications due to their simplicity, independence from data trends, ability to find optimal solutions, and versatility across different fields.Recently, many nature-inspired computation algorithms have been utilised to diagnose people with different diseases. Nature-inspired methodologies are now widely utilised across several fields for tasks such as data analysis, decision-making, and optimisation. Techniques inspired by nature are categorised as either biology-based or natural phenomena-based. Bioinspired computing encompasses various topics in computer science, mathematics, and biology in recent years. Bio-inspired computer optimisation algorithms are a developing method that utilises concepts and inspiration from biological development to create new and resilient competitive strategies. Bio-inspired optimisation algorithms have gained recognition in machine learning and deep learning for solving complicated issues in science and engineering. Utilising BIAs learning methods with machine learning and deep learning shows great promise for accurately classifying medical conditions.This book explores the historical development of bio-inspired algorithms and their application in machine learning and deep learning models for disease diagnosis, including COVID-19, heart diseases, cancer, diabetes and some other diseases. It discusses the advantages of using bio-inspired algorithms in disease diagnosis and concludes with research directions and future prospects in this field.

Danilo Pelusi, Balasubramaniam S, Rajesh Kumar Dhanaraj, A. Prasanth, S. Jayachitra - Applications of Federated Learning in Technological Advancements, E-bok

Applications of Federated Learning in Technological Advancements

Use Cases and Applications

AvDanilo Pelusi,Balasubramaniam Sm. fl.

E-bok

PDF, Engelska, 2025

2 967 kr

Läs direkt efter köp

This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins. Real-world examples and case studies illustrate federated learning’s role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into federated learning’s transformative potential, offering practical strategies for intelligent systems and sustainable environments.

The book particularly:

• Focuses on the federated learning–based model optimization, addressing the significance of IoT and federated learning in the evolution of intelligent systems for various applications;

• Describes the different optimization techniques of federated learning systems from a practical point of view;

• Highlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/ 6G communication, and computing standards;

• Provides analysis of the use cases of federated learning regarding the development of IoT, AI, blockchain, digital twins;

• Offers strategies for overcoming challenges associated with federated learning systems, including connectivity, computation, threats, privacy, and security issues.

It covers fundamental concepts, practical implementations, and trends, to serve as a reference resource for professionals and researchers in the field.

Applications of Federated Learning in Technological Advancements

Use Cases and Applications

AvDanilo Pelusi,Balasubramaniam Sm. fl.

E-bok

Engelska, 2025

2 967 kr

Läs direkt efter köp

This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins. Real-world examples and case studies illustrate federated learning’s role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into federated learning’s transformative potential, offering practical strategies for intelligent systems and sustainable environments.

The book particularly:

• Focuses on the federated learning–based model optimization, addressing the significance of IoT and federated learning in the evolution of intelligent systems for various applications;

• Describes the different optimization techniques of federated learning systems from a practical point of view;

• Highlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/ 6G communication, and computing standards;

• Provides analysis of the use cases of federated learning regarding the development of IoT, AI, blockchain, digital twins;

• Offers strategies for overcoming challenges associated with federated learning systems, including connectivity, computation, threats, privacy, and security issues.

It covers fundamental concepts, practical implementations, and trends, to serve as a reference resource for professionals and researchers in the field.

Advances in Deep Generative Models for Healthcare and Medical Applications

E-bok

PDF, Engelska, 2025

1 019 kr

Läs direkt efter köp

This book provides a platform for research on deep generative models, with an emphasis on its healthcare applications. The book addresses the unanswered questions that stop these approaches from making a huge difference in real-world clinical practice. The goal of this book is to bring together a wide range of methodologies which are using generative models in health care-related contexts. The book leverages the recent methodological advancements in deep generative models to address critical health-care challenges across all data-types, paving the way for their practical integration into the healthcare system and elevate their impact on the future of healthcare.

Advances in Deep Generative Models for Healthcare and Medical Applications

E-bok

Engelska, 2025

1 019 kr

Läs direkt efter köp

This book provides a platform for research on deep generative models, with an emphasis on its healthcare applications. The book addresses the unanswered questions that stop these approaches from making a huge difference in real-world clinical practice. The goal of this book is to bring together a wide range of methodologies which are using generative models in health care-related contexts. The book leverages the recent methodological advancements in deep generative models to address critical health-care challenges across all data-types, paving the way for their practical integration into the healthcare system and elevate their impact on the future of healthcare.

Balasubramaniam S., Aravind C. K., B. Sundaravadivazhagan, Pethuru Raj, Senthil Kumar Muthusamy - AI Control Strategies for Optimal Power Distribution, Inbunden

AI Control Strategies for Optimal Power Distribution

AI-Based Strategies for Power Efficiency

AvBalasubramaniam S.,Aravind C. K.m. fl.

Inbunden, Engelska, 2026

2 004 kr

Kommande

The global energy landscape is transforming as economies prioritize decarbonization and energy resilience. Microgrids—intelligent, autonomous energy systems integrating renewable sources, energy storage, and advanced controls—are central to this revolution, offering a promising pathway to sustainable and secure energy. Their potential to revolutionize the sector is both promising and inspiring, motivating further exploration of their capabilities. However, microgrid operations present significant challenges because traditional rule-based approaches often struggle to accommodate uncertainties inherent in renewable energy systems and fluctuating load demandsAI Control Strategies for Optimal Power Distribution explores the intersection of artificial intelligence and renewable energy systems, with microgrids as its central focus. These small-scale power systems combine renewable sources like solar and wind with energy storage, offering cleaner, more reliable power for homes, businesses, and communities. The book provides a comprehensive overview of AI-driven control strategies for optimal power distribution in microgrids. It explores AI's theoretical foundations, applications in power systems, and the specific challenges and opportunities within microgrid contexts. The book illustrates distinct advancements in the microgrid space achieved through AI's transformative power. As AI transitions from predictive to generative capabilities, it facilitates multiple aspects of establishing and sustaining highly efficient, versatile microgrids. Explaining how combining AI and microgrids is game-changing, the book covers such AI applications as forecasting, optimization, and trading.

AI Powered Healthcare in the Metaverse

Virtual Ecosystems

AvBalasubramaniam S.,Seifedine Kadry

Inbunden, Engelska, 2026

1 911 kr

Kommande

The convergence of AI and the metaverse is poised to revolutionize healthcare and other industries. Healthcare has undergone rapid transformation through the adoption of AI technologies, ranging from machine learning for diagnostics to AI-driven drug discovery and personalized treatments. Simultaneously, the development of immersive virtual environments, including the metaverse, has opened new frontiers in virtual interaction, training, and simulation. At the same time, the pandemic has accelerated the shift toward remote healthcare services such as telemedicine, highlighting the potential for virtual care ecosystems that transcend physical limitations. As AI becomes more sophisticated, it is now capable of creating virtual hospitals, digital twins, and AI-driven monitoring tools that offer unprecedented levels of patient care. The metaverse, often associated with gaming and entertainment, is evolving into a platform where healthcare services can be delivered in immersive, interactive, and real-time virtual environments. This combination of AI-powered healthcare in the metaverse promises a future where patients can receive personalized, continuous care regardless of location.This book explores the emerging field of AI-powered healthcare in virtual environments and provide readers with an understanding of how this technological integration will reshape the future of medical care. By combining the potential of AI with the immersive capabilities of the metaverse, this book aims to offer a roadmap for the future of healthcare, emphasizing how virtual health ecosystems can improve diagnostics, treatment, and patient engagement.This book will serve as a reference for researchers, scholars, and industry professionals in different fields related to healthcare, metaverse and artificial intelligence. It can also be a hands-on resource for students interested in the fields of metaverse and healthcare applications using artificial intelligence.Key Features:Focuses on the integration of AI and the metaverse, not just as separate technologies, but as cohesive elements in a comprehensive, patient-centered health ecosystem.Offers practical insights and real-world applications rather than just theoretical discussions.Provides future-oriented, predictive, and preventive healthcare framework with a strong focus on AI-driven advancements.Addresses ethical, regulatory, and governance issues, which are critical to the successful adoption of AI in virtual healthcare environments.

Wearable AI - The Future of Continuous Health Monitoring in the Metaverse

Inbunden, Engelska, 2026

1 911 kr

Kommande

This book brings together leading scholars, technologists, clinicians, and designers to investigate the scientific foundations, applications, and implications of continuous health monitoring. It delves into breakthroughs in biosensing, neural interfaces, digital twins, and AI-driven analytics that enable real-time physiological and behavioral insights. Through a series of interdisciplinary chapters, it showcases how wearable AI systems integrate seamlessly with metaverse platforms to deliver personalized, preventive, and participatory healthcare experiences. Beyond technological innovation, the volume critically engages with the ethical, regulatory, and social dimensions of this transformation. It addresses pressing questions around data privacy, algorithmic transparency, equity, and the psychological impact of health virtualization. The discussions extend to global health policy, digital inclusion, and the future of medical governance in AI-enhanced environments.Combining visionary perspectives with practical case studies, Wearable AI – The Future of Continuous Health Monitoring in the Metaverse serves as a comprehensive reference for researchers, healthcare professionals, policymakers, and industry leaders. It envisions a future where continuous, intelligent health monitoring fosters not only longer lives but also more connected and empowered digital citizens. Ultimately, this volume invites readers to imagine a world where the boundaries between body, data, and digital reality dissolve—creating a seamless ecosystem of care in which wearable AI and the metaverse converge to transform human health and experience.

AI Powered Healthcare in the Metaverse

Virtual Ecosystems

E-bok

PDF, Engelska, 2026

680 kr

Läs direkt efter köp

The convergence of AI and the metaverse is poised to revolutionize healthcare and other industries. Healthcare has undergone rapid transformation through the adoption of AI technologies, ranging from machine learning for diagnostics to AI-driven drug discovery and personalized treatments. Simultaneously, the development of immersive virtual environments, including the metaverse, has opened new frontiers in virtual interaction, training, and simulation. At the same time, the pandemic has accelerated the shift toward remote healthcare services such as telemedicine, highlighting the potential for virtual care ecosystems that transcend physical limitations. As AI becomes more sophisticated, it is now capable of creating virtual hospitals, digital twins, and AI-driven monitoring tools that offer unprecedented levels of patient care. The metaverse, often associated with gaming and entertainment, is evolving into a platform where healthcare services can be delivered in immersive, interactive, and real-time virtual environments. This combination of AI-powered healthcare in the metaverse promises a future where patients can receive personalized, continuous care regardless of location.This book explores the emerging field of AI-powered healthcare in virtual environments and provide readers with an understanding of how this technological integration will reshape the future of medical care. By combining the potential of AI with the immersive capabilities of the metaverse, this book aims to offer a roadmap for the future of healthcare, emphasizing how virtual health ecosystems can improve diagnostics, treatment, and patient engagement.This book will serve as a reference for researchers, scholars, and industry professionals in different fields related to healthcare, metaverse and artificial intelligence. It can also be a hands-on resource for students interested in the fields of metaverse and healthcare applications using artificial intelligence.Key Features: Focuses on the integration of AI and the metaverse, not just as separate technologies, but as cohesive elements in a comprehensive, patient-centered health ecosystem. Offers practical insights and real-world applications rather than just theoretical discussions. Provides future-oriented, predictive, and preventive healthcare framework with a strong focus on AI-driven advancements. Addresses ethical, regulatory, and governance issues, which are critical to the successful adoption of AI in virtual healthcare environments.

AI Powered Healthcare in the Metaverse

Virtual Ecosystems

E-bok

Engelska, 2026

866 kr

Läs direkt efter köp

The convergence of AI and the metaverse is poised to revolutionize healthcare and other industries. Healthcare has undergone rapid transformation through the adoption of AI technologies, ranging from machine learning for diagnostics to AI-driven drug discovery and personalized treatments. Simultaneously, the development of immersive virtual environments, including the metaverse, has opened new frontiers in virtual interaction, training, and simulation. At the same time, the pandemic has accelerated the shift toward remote healthcare services such as telemedicine, highlighting the potential for virtual care ecosystems that transcend physical limitations. As AI becomes more sophisticated, it is now capable of creating virtual hospitals, digital twins, and AI-driven monitoring tools that offer unprecedented levels of patient care. The metaverse, often associated with gaming and entertainment, is evolving into a platform where healthcare services can be delivered in immersive, interactive, and real-time virtual environments. This combination of AI-powered healthcare in the metaverse promises a future where patients can receive personalized, continuous care regardless of location.This book explores the emerging field of AI-powered healthcare in virtual environments and provide readers with an understanding of how this technological integration will reshape the future of medical care. By combining the potential of AI with the immersive capabilities of the metaverse, this book aims to offer a roadmap for the future of healthcare, emphasizing how virtual health ecosystems can improve diagnostics, treatment, and patient engagement.This book will serve as a reference for researchers, scholars, and industry professionals in different fields related to healthcare, metaverse and artificial intelligence. It can also be a hands-on resource for students interested in the fields of metaverse and healthcare applications using artificial intelligence.Key Features: Focuses on the integration of AI and the metaverse, not just as separate technologies, but as cohesive elements in a comprehensive, patient-centered health ecosystem. Offers practical insights and real-world applications rather than just theoretical discussions. Provides future-oriented, predictive, and preventive healthcare framework with a strong focus on AI-driven advancements. Addresses ethical, regulatory, and governance issues, which are critical to the successful adoption of AI in virtual healthcare environments.

Networked Sensing Systems

AvRajesh Kumar Dhanaraj,Malathy Sathyamoorthym. fl.

Inbunden, Engelska, 2025

2 088 kr

Skickas inom 5-8 vardagar

Networked Sensing Systems is essential for anyone seeking innovative and sustainable solutions across diverse sectors. It explores the integration of cutting-edge IoT technologies and digital transformation aimed at enhancing resource efficiency and addressing climate change challenges. With today’s advancements in wireless and mobile connectivity, Internet of Things (IoT) sensor technologies, and digital innovation, sustainability principles are increasingly reinforcing one another. To transition to more resource-efficient solutions, use resources responsibly, and streamline operations, businesses must embrace digital transformation. Potential application areas include energy management, air pollution monitoring, fleet management, water management, and agriculture. Simultaneously, the expansion of IoT deployments and their integration into the contexts of 5G and emerging 6G mobile networking necessitate that the solutions themselves be green and sustainable. This includes incorporating energy- and environmentally-conscious technical solutions for communications. By offering previously unattainable solutions, networked sensing can contribute to a more sustainable society by enabling the collection of data from heterogeneous sources in unique and novel ways. Additionally, the networking-based solutions themselves must be sustainable and environmentally friendly. For example, optimizing network architecture and relocating network equipment to strategic locations can significantly reduce energy waste. These goals drive the search for improved sensing technologies, emphasizing energy-efficient mobile sensing devices. The goal of Networked Sensing Systems is to present and highlight the latest developments in sustainable networked sensing systems across a variety of contexts, all united by the aim of enhancing human well-being and combating climate change. Regardless of the area of expertise, this work seeks to offer practical solutions to the major challenges of building a sustainable smart society 5.0. This book serves as a platform to discuss networked sensing systems for a sustainable society, focusing on systems and applications based on mobile computing and wireless networks, while adopting multidisciplinary approaches that emphasize the human element in addressing these challenges.

Networked Sensing Systems

AvSeifedine Kadry,Balasubramaniam S.m. fl.

E-bok

Engelska, 2025

2 587 kr

Läs direkt efter köp

Networked Sensing Systems is essential for anyone seeking innovative and sustainable solutions across diverse sectors. It explores the integration of cutting-edge IoT technologies and digital transformation aimed at enhancing resource efficiency and addressing climate change challenges.

With today’s advancements in wireless and mobile connectivity, Internet of Things (IoT) sensor technologies, and digital innovation, sustainability principles are increasingly reinforcing one another. To transition to more resource-efficient solutions, use resources responsibly, and streamline operations, businesses must embrace digital transformation. Potential application areas include energy management, air pollution monitoring, fleet management, water management, and agriculture. Simultaneously, the expansion of IoT deployments and their integration into the contexts of 5G and emerging 6G mobile networking necessitate that the solutions themselves be green and sustainable. This includes incorporating energy- and environmentally-conscious technical solutions for communications.

By offering previously unattainable solutions, networked sensing can contribute to a more sustainable society by enabling the collection of data from heterogeneous sources in unique and novel ways. Additionally, the networking-based solutions themselves must be sustainable and environmentally friendly. For example, optimizing network architecture and relocating network equipment to strategic locations can significantly reduce energy waste. These goals drive the search for improved sensing technologies, emphasizing energy-efficient mobile sensing devices.

The goal of Networked Sensing Systems is to present and highlight the latest developments in sustainable networked sensing systems across a variety of contexts, all united by the aim of enhancing human well-being and combating climate change. Regardless of the area of expertise, this work seeks to offer practical solutions to the major challenges of building a sustainable smart society 5.0. This book serves as a platform to discuss networked sensing systems for a sustainable society, focusing on systems and applications based on mobile computing and wireless networks, while adopting multidisciplinary approaches that emphasize the human element in addressing these challenges.

Networked Sensing Systems

AvSeifedine Kadry,Balasubramaniam S.m. fl.

E-bok

PDF, Engelska, 2025

2 587 kr

Läs direkt efter köp

Networked Sensing Systems is essential for anyone seeking innovative and sustainable solutions across diverse sectors. It explores the integration of cutting-edge IoT technologies and digital transformation aimed at enhancing resource efficiency and addressing climate change challenges.

With today’s advancements in wireless and mobile connectivity, Internet of Things (IoT) sensor technologies, and digital innovation, sustainability principles are increasingly reinforcing one another. To transition to more resource-efficient solutions, use resources responsibly, and streamline operations, businesses must embrace digital transformation. Potential application areas include energy management, air pollution monitoring, fleet management, water management, and agriculture. Simultaneously, the expansion of IoT deployments and their integration into the contexts of 5G and emerging 6G mobile networking necessitate that the solutions themselves be green and sustainable. This includes incorporating energy- and environmentally-conscious technical solutions for communications.

By offering previously unattainable solutions, networked sensing can contribute to a more sustainable society by enabling the collection of data from heterogeneous sources in unique and novel ways. Additionally, the networking-based solutions themselves must be sustainable and environmentally friendly. For example, optimizing network architecture and relocating network equipment to strategic locations can significantly reduce energy waste. These goals drive the search for improved sensing technologies, emphasizing energy-efficient mobile sensing devices.

The goal of Networked Sensing Systems is to present and highlight the latest developments in sustainable networked sensing systems across a variety of contexts, all united by the aim of enhancing human well-being and combating climate change. Regardless of the area of expertise, this work seeks to offer practical solutions to the major challenges of building a sustainable smart society 5.0. This book serves as a platform to discuss networked sensing systems for a sustainable society, focusing on systems and applications based on mobile computing and wireless networks, while adopting multidisciplinary approaches that emphasize the human element in addressing these challenges.

Generative AI for Software Development

Code Generation, Error Detection, Software Testing

Inbunden, Engelska, 2025

2 222 kr

Skickas inom 5-8 vardagar

As the field of Artificial Intelligence continues to evolve, Generative AI has emerged as a powerful tool in the realm of software development. AI models capable of generating high-quality, human-like code can significantly accelerate the software development process, assist in troubleshooting, and even automate tasks traditionally performed by human developers. Generative AI models, such as OpenAI, DeepMind, and others, are already demonstrating the ability to write functional code, generate documentation, and assist in code review. These models are not only reducing the time it takes to develop applications but are also making software development more accessible to a broader audience, including non-technical users. This book is intended to serve as a comprehensive guide for developers, technology leaders, and anyone interested in understanding how to leverage Generative AI in software development. It will cover the underlying technology behind these models, practical use cases, integration into development workflows, and ethical considerations. Additionally, it explores how the democratization of coding through AI will shape the future of software engineering. By providing insights into real-world applications and best practices for integrating generative AI into the software lifecycle, this book empowers readers to stay ahead of the technological curve in a rapidly evolving industry.

Generative AI for Software Development

Code Generation, Error Detection, Software Testing

AvBalasubramaniam S.,Seifedine Kadry

E-bok

PDF, Engelska, 2025

1 941 kr

Läs direkt efter köp

As the field of Artificial Intelligence continues to evolve, Generative AI has emerged as a powerful tool in the realm of software development. AI models capable of generating high-quality, human-like code can significantly accelerate the software development process, assist in troubleshooting, and even automate tasks traditionally performed by human developers. Generative AI models, such as OpenAI, DeepMind, and others, are already demonstrating the ability to write functional code, generate documentation, and assist in code review. These models are not only reducing the time it takes to develop applications but are also making software development more accessible to a broader audience, including non-technical users. This book is intended to serve as a comprehensive guide for developers, technology leaders, and anyone interested in understanding how to leverage Generative AI in software development. It will cover the underlying technology behind these models, practical use cases, integration into development workflows, and ethical considerations. Additionally, it explores how the democratization of coding through AI will shape the future of software engineering. By providing insights into real-world applications and best practices for integrating generative AI into the software lifecycle, this book empowers readers to stay ahead of the technological curve in a rapidly evolving industry.

AI-Powered Digital Twins for Predictive Healthcare

Creating Virtual Replicas of Humans

Inbunden, Engelska, 2025

6 066 kr

Skickas inom 5-8 vardagar

AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans