Gaurav Dhiman – författare & böcker

Artificial Intelligence for Air Quality Monitoring and Prediction

AvAmit Awasthi,Kanhu Charan Pattnayakm. fl.

Inbunden, Engelska, 2024

2 059 kr

Skickas inom 10-15 vardagar

This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and preprocessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges.FeaturesA thorough coverage of air quality monitoring and prediction techniques.In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning.Diverse global perspectives and approaches in air quality monitoring and prediction.Practical insights and real-world case studies from different monitoring and prediction techniques.Future directions and emerging trends in AI-driven air quality monitoring.This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI.

Nyhet

Artificial Intelligence for Air Quality Monitoring and Prediction

AvAmit Awasthi,Kanhu Charan Pattnayakm. fl.

Häftad, Engelska, 2026

794 kr

Skickas inom 10-15 vardagar

This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and preprocessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges.FeaturesA thorough coverage of air quality monitoring and prediction techniques.In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning.Diverse global perspectives and approaches in air quality monitoring and prediction.Practical insights and real-world case studies from different monitoring and prediction techniques.Future directions and emerging trends in AI-driven air quality monitoring.This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI.

Compendium of Responsible Artificial Intelligence

AvDeepak Kumar Jain,Kirti Raj Bhatelem. fl.

Inbunden, Engelska, 2025

2 497 kr

Skickas inom 10-15 vardagar

Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. This book can be read as a resource for those who want to be able to guide the development and deployment of responsibly controlled AI systems.

Industrial Internet of Things for Responsible Technology

AvB. K. Mishra,Gaurav Dhimanm. fl.

Inbunden, Engelska, 2025

1 816 kr

Skickas inom 10-15 vardagar

The book explores the intersection between IoT technologies and responsible practices across four vital dimensions. It looks into the latest advancements in IoT, encompassing hardware, software, and cutting-edge communication protocols, while also highlighting trends like edge computing, IoT security, and energy-efficient IoT devices. The next part of the book showcases real-world applications and success stories across diverse sectors such as healthcare, manufacturing, smart cities, and agriculture. The next part addresses the vital role of data analytics and artificial intelligence in harnessing the potential of IoT, covering real-time data analysis, predictive maintenance, and data visualization. The last part focuses on the essential aspect of safeguarding IoT devices and data, exploring authentication, encryption, vulnerability assessment, and the ethical and regulatory considerations surrounding IoT. The book serves as a resource for professionals, researchers, and policymakers, offering valuable insights, best practices, and responsible strategies for leveraging IoT in an increasingly connected and data-driven industrial world while prioritizing ethical, security, and privacy concerns.

Ambient Assisted Living

AvRashmi Gupta,Shashi Shekharm. fl.

Inbunden, Engelska, 2025

2 120 kr

Skickas inom 10-15 vardagar

The rapid advances in technology have revolutionized healthcare and assisted living, and given rise to Ambient Assisted Living (AAL). As healthcare is transitioning from healthcare 4.0 to healthcare 5.0, the integration of AI, IoT, Blockchain, 5G, and Fog Computing is enabling innovative solutions for personalized care, remote monitoring, and intelligent decision-making.This book delves into cutting-edge AAL technologies, including AI-driven gait analysis for diagnosing and classifying disorders like Parkinson's disease, assistive robotics to enhance daily living, and Blockchain-based token incentive systems for transparency and engagement. It also explores AI-powered diet management for diabetes patients, NLP applications in clinical decision-making, and large language models for healthcare analytics. The book highlights GAN-based solutions for emergency staffing and resilient scheduling, demonstrating AI's role in optimizing healthcare operations. The book also examines multisensory rooms for engaging children with disabilities, emphasizing inclusive technology design. Ethical concerns in AAL, ensuring that innovation aligns with societal values and patient dignity are also addressed. With insights into practical applications, challenges, and future directions, the book serves as a guide for researchers, practitioners, and policymakers, offering a comprehensive vision of how technology can revolutionize healthcare and empower individuals.

Artificial Intelligence for Air Quality Monitoring and Prediction

AvPushp Raj Tiwari,Gaurav Dhimanm. fl.

E-bok

PDF, Engelska, 2024

2 186 kr

Läs direkt efter köp

This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and preprocessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges.

Features

A thorough coverage of air quality monitoring and prediction techniques. In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning. Diverse global perspectives and approaches in air quality monitoring and prediction. Practical insights and real-world case studies from different monitoring and prediction techniques. Future directions and emerging trends in AI-driven air quality monitoring.

This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI.

Artificial Intelligence for Air Quality Monitoring and Prediction

AvPushp Raj Tiwari,Gaurav Dhimanm. fl.

E-bok

Engelska, 2024

2 186 kr

Läs direkt efter köp

This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and preprocessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges.

Features

A thorough coverage of air quality monitoring and prediction techniques. In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning. Diverse global perspectives and approaches in air quality monitoring and prediction. Practical insights and real-world case studies from different monitoring and prediction techniques. Future directions and emerging trends in AI-driven air quality monitoring.

This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI.

Compendium of Responsible Artificial Intelligence

AvGaurav Dhiman,Deepak Gargm. fl.

E-bok

PDF, Engelska, 2025

1 022 kr

Läs direkt efter köp

Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. This book can be read as a resource for those who want to be able to guide the development and deployment of responsibly controlled AI systems.

Compendium of Responsible Artificial Intelligence

AvGaurav Dhiman,Deepak Gargm. fl.

E-bok

Engelska, 2025

1 022 kr

Läs direkt efter köp

Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. This book can be read as a resource for those who want to be able to guide the development and deployment of responsibly controlled AI systems.

Ambient Assisted Living

AvGaurav Dhiman,Jeetendra Kumarm. fl.

E-bok

PDF, Engelska, 2025

1 022 kr

Läs direkt efter köp

The rapid advances in technology have revolutionized healthcare and assisted living, and given rise to Ambient Assisted Living (AAL). As healthcare is transitioning from healthcare 4.0 to healthcare 5.0, the integration of AI, IoT, Blockchain, 5G, and Fog Computing is enabling innovative solutions for personalized care, remote monitoring, and intelligent decision-making.This book delves into cutting-edge AAL technologies, including AI-driven gait analysis for diagnosing and classifying disorders like Parkinson's disease, assistive robotics to enhance daily living, and Blockchain-based token incentive systems for transparency and engagement. It also explores AI-powered diet management for diabetes patients, NLP applications in clinical decision-making, and large language models for healthcare analytics. The book highlights GAN-based solutions for emergency staffing and resilient scheduling, demonstrating AI's role in optimizing healthcare operations. The book also examines multisensory rooms for engaging children with disabilities, emphasizing inclusive technology design. Ethical concerns in AAL, ensuring that innovation aligns with societal values and patient dignity are also addressed. With insights into practical applications, challenges, and future directions, the book serves as a guide for researchers, practitioners, and policymakers, offering a comprehensive vision of how technology can revolutionize healthcare and empower individuals.

Ambient Assisted Living

AvGaurav Dhiman,Jeetendra Kumarm. fl.

E-bok

Engelska, 2025

1 022 kr

Läs direkt efter köp

The rapid advances in technology have revolutionized healthcare and assisted living, and given rise to Ambient Assisted Living (AAL). As healthcare is transitioning from healthcare 4.0 to healthcare 5.0, the integration of AI, IoT, Blockchain, 5G, and Fog Computing is enabling innovative solutions for personalized care, remote monitoring, and intelligent decision-making.This book delves into cutting-edge AAL technologies, including AI-driven gait analysis for diagnosing and classifying disorders like Parkinson's disease, assistive robotics to enhance daily living, and Blockchain-based token incentive systems for transparency and engagement. It also explores AI-powered diet management for diabetes patients, NLP applications in clinical decision-making, and large language models for healthcare analytics. The book highlights GAN-based solutions for emergency staffing and resilient scheduling, demonstrating AI's role in optimizing healthcare operations. The book also examines multisensory rooms for engaging children with disabilities, emphasizing inclusive technology design. Ethical concerns in AAL, ensuring that innovation aligns with societal values and patient dignity are also addressed. With insights into practical applications, challenges, and future directions, the book serves as a guide for researchers, practitioners, and policymakers, offering a comprehensive vision of how technology can revolutionize healthcare and empower individuals.

Industrial Internet of Things for Responsible Technology

AvKusum Yadav,Sujata Alegavim. fl.

E-bok

PDF, Engelska, 2025

1 022 kr

Läs direkt efter köp

The book explores the intersection between IoT technologies and responsible practices across four vital dimensions. It looks into the latest advancements in IoT, encompassing hardware, software, and cutting-edge communication protocols, while also highlighting trends like edge computing, IoT security, and energy-efficient IoT devices. The next part of the book showcases real-world applications and success stories across diverse sectors such as healthcare, manufacturing, smart cities, and agriculture. The next part addresses the vital role of data analytics and artificial intelligence in harnessing the potential of IoT, covering real-time data analysis, predictive maintenance, and data visualization. The last part focuses on the essential aspect of safeguarding IoT devices and data, exploring authentication, encryption, vulnerability assessment, and the ethical and regulatory considerations surrounding IoT. The book serves as a resource for professionals, researchers, and policymakers, offering valuable insights, best practices, and responsible strategies for leveraging IoT in an increasingly connected and data-driven industrial world while prioritizing ethical, security, and privacy concerns.

Industrial Internet of Things for Responsible Technology

AvKusum Yadav,Sujata Alegavim. fl.

E-bok

Engelska, 2025

1 022 kr

Läs direkt efter köp

The book explores the intersection between IoT technologies and responsible practices across four vital dimensions. It looks into the latest advancements in IoT, encompassing hardware, software, and cutting-edge communication protocols, while also highlighting trends like edge computing, IoT security, and energy-efficient IoT devices. The next part of the book showcases real-world applications and success stories across diverse sectors such as healthcare, manufacturing, smart cities, and agriculture. The next part addresses the vital role of data analytics and artificial intelligence in harnessing the potential of IoT, covering real-time data analysis, predictive maintenance, and data visualization. The last part focuses on the essential aspect of safeguarding IoT devices and data, exploring authentication, encryption, vulnerability assessment, and the ethical and regulatory considerations surrounding IoT. The book serves as a resource for professionals, researchers, and policymakers, offering valuable insights, best practices, and responsible strategies for leveraging IoT in an increasingly connected and data-driven industrial world while prioritizing ethical, security, and privacy concerns.

Jeetendra Kumar, Rashmi Gupta, P. K. Mishra, Gaurav Dhiman, Valentina E. Balas, Kamila Zarychta-Romanowska - Generative AI for Next-Gen Defence Strategies, Inbunden

Generative AI for Next-Gen Defence Strategies

AvJeetendra Kumar,Rashmi Guptam. fl.

Inbunden, Engelska, 2026

1 565 kr

Kommande

This book aims to explore the manifold role of Generative AI in enhancing defence capabilities and its potential to transform future warfare. It is divided into three sections. The first discusses the fundamentals of Generative AI and its strategic significance in modern defence sector. This section sets the foundation for understanding how these technologies are shaping current defence strategies and providing a competitive edge. The second explores the application of Generative AI across military, aerospace and naval domain. This section starts by exploring the use of Generative AI for Strategic and Operational Planning, Battlefield Simulation and Training, and development of Autonomous Vehicles and Exoskeletons. The section also covers the use of Generative AI in Drone Swarms, Autonomous Navigation, and Mission Control, as well as its role in maintaining and monitoring Aerospace Infrastructure. Advanced applications such as Radar Systems, Underwater Drones, and Naval Robotics are also discussed in the section. Additionally, the predictive capabilities of Generative AI, including Trajectory Prediction and Failure Prediction for ships and aircraft, and its significance in Naval Warfare and Underwater Sensing have been explored. It also examines the critical role of Generative AI in Cyber Security and Network Defence. The last section of the book addresses the challenges of Generative AI in Defence and the ethical considerations that need to be addressed while using Generative AI in Defence sector. This section also critically assesses the potential threats posed by Generative AI in Cognitive Warfare, highlighting the need for robust ethical frameworks and policies to mitigate risks.The book will be useful for defence professionals, researchers, and technologists who want to understand the transformative potential of Generative AI in defence and attempts to inspire innovative thinking and foster a deeper understanding of the strategic value of Generative AI.

Federated Learning in Financial Services

A Path to Secure AI

AvSuvarna Sharma,Jeetendra Kumarm. fl.

Inbunden, Engelska, 2026

1 611 kr

Kommande

As financial institutions increasingly rely on AI and ML for data-driven decision-making, concerns about data privacy, security, and regulatory compliance are growing. Federated learning (FL) emerges as a key solution, enabling collaborative AI model training across multiple organizations without sharing raw data. This book explores advancements in FL technology in the financial industry, specifically in the context of privacy-preserving AI. It also examines the significant shift from traditional centralized machine-learning approaches to decentralized learning techniques.Structured into four comprehensive sections, the book offers an in-depth examination of the subject. The first section provides an overview and introduction to FL, and reviews the increasing challenges of data privacy and regulatory constraints in the financial industry, highlighting how federated learning enables secure AI-driven financial services. The second section explores federated architectures, secure multi-party computation, differential privacy, and homomorphic encryption. The third section highlights practical applications of AI and federated learning in areas such as risk management, fraud detection, credit scoring, and customer personalization, demonstrating how FL enhances security, scalability, and operational efficiency in financial systems. Financial applications where federated learning enhances security, scalability, and efficiency are also addressed. The fourth section discusses emerging trends in federated learning, including blockchain-based federated learning, zero-trust architectures, and its integration with decentralized finance (DeFi). The book concludes by examining practical implementations and regulatory considerations, ensuring compliance with data protection laws such as GDPR and CCPA.