Rai Hari Mohan (34 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. In English.

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Hardback. Condition: New.

Paperback. Condition: New.

Hardback. Condition: New.

Paperback. Condition: new. Paperback. As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: new. Hardcover. This book integrates the concepts of explainable artificial intelligence and generative explainable artificial intelligence, showcasing how explainability can be incorporated into generative models. It highlights the importance of making generative models transparent, offering strategies to achieve this through interpretability techniques.The book:Focuses on the principles and methodologies of explainable artificial intelligence, providing readers with a thorough understanding of how artificial intelligence models can be made transparent and interpretable.Explores explainable artificial intelligence techniques, including feature importance, SHAP values, LIME, and counterfactual explanations.Offers an in-depth examination of generative artificial intelligence, covering cutting-edge advancements in generative models like GANs, VAEs, and transformer-based architectures.Bridges the gap between theoretical concepts and their practical applications, making advanced artificial intelligence technologies accessible to the readers.Includes numerous case studies and real-world examples that demonstrate the successful application of generative artificial intelligence and explainable artificial intelligence.The text is primarily written for graduate students and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering, biomedical engineering, and information technology. The text focuses on the methodologies of generative artificial intelligence, and explainable artificial intelligence, providing readers with an understanding of how artificial intelligence models can be transparent and interpretable. It explores various XAI techniques, feature importance, SHAP values, LIME, and counterfactual explanations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condition: new. Hardcover. This book integrates the concepts of explainable artificial intelligence and generative explainable artificial intelligence, showcasing how explainability can be incorporated into generative models. It highlights the importance of making generative models transparent, offering strategies to achieve this through interpretability techniques.The book:Focuses on the principles and methodologies of explainable artificial intelligence, providing readers with a thorough understanding of how artificial intelligence models can be made transparent and interpretable.Explores explainable artificial intelligence techniques, including feature importance, SHAP values, LIME, and counterfactual explanations.Offers an in-depth examination of generative artificial intelligence, covering cutting-edge advancements in generative models like GANs, VAEs, and transformer-based architectures.Bridges the gap between theoretical concepts and their practical applications, making advanced artificial intelligence technologies accessible to the readers.Includes numerous case studies and real-world examples that demonstrate the successful application of generative artificial intelligence and explainable artificial intelligence.The text is primarily written for graduate students and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering, biomedical engineering, and information technology. The text focuses on the methodologies of generative artificial intelligence, and explainable artificial intelligence, providing readers with an understanding of how artificial intelligence models can be transparent and interpretable. It explores various XAI techniques, feature importance, SHAP values, LIME, and counterfactual explanations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. AI and IoT-Driven Social Sensing for Smart City Innovation | Hari Mohan Rai (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337349633 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Hardcover. Condition: new. Hardcover. As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…