Gaurav Dhiman – författare
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23 produkter
23 produkter
Inbunden, Engelska, 2024
2 066 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
Häftad, Engelska, 2026
797 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.
Inbunden, Engelska, 2025
2 494 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.
Inbunden, Engelska, 2025
1 670 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.
Inbunden, Engelska, 2025
2 031 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.
E-bok
PDF, Engelska, 20242 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.
E-bok
Engelska, 20242 109 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.
E-bok
PDF, Engelska, 2025909 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.
E-bok
Engelska, 2025909 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.
E-bok
PDF, Engelska, 2025936 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.
E-bok
Engelska, 2025944 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.
E-bok
PDF, Engelska, 2025970 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.
E-bok
Engelska, 2025936 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.
Inbunden, Engelska, 2026
1 510 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.
Inbunden, Engelska, 2026
1 555 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.
Inbunden, Engelska, 2029
2 609 kr
Kommande
Inbunden, Engelska, 2027
2 278 kr
Kommande
Inbunden, Engelska, 2022
3 411 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2022
2 687 kr
Skickas inom 5-8 vardagar
Inbunden, Engelska, 2022
5 298 kr
Skickas inom 5-8 vardagar
Inbunden, Engelska, 2021
4 103 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2026
628 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2026
1 320 kr
Skickas inom 5-8 vardagar