Prasath V B Surya (65 results)

Condition: New. pages cm.

Condition: New.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 560.

Condition: New.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 571.

Condition: New.

Condition: New. In.

Condition: New. In.

Paperback. Condition: new. Paperback. An essential resource work for understanding how to design and develop smart applications for present and future problems of the field of agriculture. Dr. Deepak Gupta, Maharaja Agrasen Institute of Technology, Delhi, IndiaAs a result of the advances in Artificial Intelligence (AI), many aspects of daily life have been transformed by smart digital technology. Advanced intelligent algorithms can provide powerful solutions to real-world problems. Smart applications have become commonplace. All areas of life are being changed by smart tools developed to deal with complex issues challenging both humanity and the earth.Artificial Intelligence and Smart Agriculture Applications presents the latest smart agriculture applications developed across the globe. It covers a broad array of solutions using data science and AI to attack problems facing agriculture worldwide. Features: Application of drones and sensors in advanced farmingA cloud-computing model for implementing smart agricultureConversational AI for farmer's advisory communicationsIntelligent fuzzy logic to predict global warmings effect on agricultureMachine learning algorithms for mapping soil macronutrient elements variabilityA smart IoT framework for soil fertility enhancementAI applications in pest managementA model using Python for predicting rainfall The book examines not only present solutions but also potential future outcomes. It looks at the role of AI-based algorithms and the almost infinite combinations of variables for agricultural applications. Researchers, public and private sector representatives, agriculture scientists, and students can use this book to develop sustainable and solutions for smart agriculture. This books findings are especially important as the planet is facing unprecedented environmental challenges from over-farming and climate change due to global warming. In this book, the recent applications of Artificial Intelligence for smart agriculture have been gathered to provide a valuable source for the literature. Applications vary from use of Machine and Deep Learning to image processing systems. The book aims to provide information on smart methods and intense data processing phases. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. Paperback. The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-making models, risk profiling of cohorts, and remote treatment. Applying these technologies runs against challenges including interoperability, lack of unified structure for eHealth, and data privacy and security. Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics examines multiple models and solutions for various settings including individual, home, work, and society. The worlds healthcare systems are battling the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to surmount these challenges.This book focuses on the design and implementation of AI-based approaches in the proposed COVID-19 solutions that are enabled and supported by IoMT, sensor networks, cloud and edge computing, robotics, and analytics. It covers technologies under the umbrella of AI that include data science, big data, machine learning (ML), semantic technologies, analytics, and cyber security.Highlights of the book include:Epidemic forecasting modelsSurveillance and tracking systemsIoMT and Internet of Healthcare Things-based integrated systems for COVID-19Social network analysis systemsRadiological image- based diagnosis systemsComputational intelligence methodsThis reference work is beneficial for interdisciplinary students, researchers, and healthcare and technology professionals who need to know how computational intelligence could be used for surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. This book focuses on both the design and implementation of AI-based approaches for systems that aid in monitoring and combating pandemics such as occurred with COVID-19. These systems are based on the Internet of Medical Things (IoMT), using sensor networks and other advanced technologies. The book examines different aspects of AI and IoMT. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. SUPER FAST SHIPPING.

Condition: New. pages cm.

Condition: New. SUPER FAST SHIPPING.

Condition: New.

Condition: New. pages cm First edition Includes index.

Condition: As New. Unread book in perfect condition.

Condition: New. First edition Includes bibliographical references.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. Paperback. The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-making models, risk profiling of cohorts, and remote treatment. Applying these technologies runs against challenges including interoperability, lack of unified structure for eHealth, and data privacy and security. Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics examines multiple models and solutions for various settings including individual, home, work, and society. The worlds healthcare systems are battling the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to surmount these challenges.This book focuses on the design and implementation of AI-based approaches in the proposed COVID-19 solutions that are enabled and supported by IoMT, sensor networks, cloud and edge computing, robotics, and analytics. It covers technologies under the umbrella of AI that include data science, big data, machine learning (ML), semantic technologies, analytics, and cyber security.Highlights of the book include:Epidemic forecasting modelsSurveillance and tracking systemsIoMT and Internet of Healthcare Things-based integrated systems for COVID-19Social network analysis systemsRadiological image- based diagnosis systemsComputational intelligence methodsThis reference work is beneficial for interdisciplinary students, researchers, and healthcare and technology professionals who need to know how computational intelligence could be used for surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. This book focuses on both the design and implementation of AI-based approaches for systems that aid in monitoring and combating pandemics such as occurred with COVID-19. These systems are based on the Internet of Medical Things (IoMT), using sensor networks and other advanced technologies. The book examines different aspects of AI and IoMT. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: Brand New. 355 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Condition: Brand New. 310 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Condition: new. Paperback. An essential resource work for understanding how to design and develop smart applications for present and future problems of the field of agriculture. Dr. Deepak Gupta, Maharaja Agrasen Institute of Technology, Delhi, IndiaAs a result of the advances in Artificial Intelligence (AI), many aspects of daily life have been transformed by smart digital technology. Advanced intelligent algorithms can provide powerful solutions to real-world problems. Smart applications have become commonplace. All areas of life are being changed by smart tools developed to deal with complex issues challenging both humanity and the earth.Artificial Intelligence and Smart Agriculture Applications presents the latest smart agriculture applications developed across the globe. It covers a broad array of solutions using data science and AI to attack problems facing agriculture worldwide. Features: Application of drones and sensors in advanced farmingA cloud-computing model for implementing smart agricultureConversational AI for farmer's advisory communicationsIntelligent fuzzy logic to predict global warmings effect on agricultureMachine learning algorithms for mapping soil macronutrient elements variabilityA smart IoT framework for soil fertility enhancementAI applications in pest managementA model using Python for predicting rainfall The book examines not only present solutions but also potential future outcomes. It looks at the role of AI-based algorithms and the almost infinite combinations of variables for agricultural applications. Researchers, public and private sector representatives, agriculture scientists, and students can use this book to develop sustainable and solutions for smart agriculture. This books findings are especially important as the planet is facing unprecedented environmental challenges from over-farming and climate change due to global warming. In this book, the recent applications of Artificial Intelligence for smart agriculture have been gathered to provide a valuable source for the literature. Applications vary from use of Machine and Deep Learning to image processing systems. The book aims to provide information on smart methods and intense data processing phases. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. An essential resource work for understanding how to design and develop smart applications for present and future problems of the field of agriculture. Dr. Deepak Gupta, Maharaja Agrasen Institute of Technology, Delhi, IndiaAs a result of the advances in Artificial Intelligence (AI), many aspects of daily life have been transformed by smart digital technology. Advanced intelligent algorithms can provide powerful solutions to real-world problems. Smart applications have become commonplace. All areas of life are being changed by smart tools developed to deal with complex issues challenging both humanity and the earth.Artificial Intelligence and Smart Agriculture Applications presents the latest smart agriculture applications developed across the globe. It covers a broad array of solutions using data science and AI to attack problems facing agriculture worldwide. Features: Application of drones and sensors in advanced farmingA cloud-computing model for implementing smart agricultureConversational AI for farmer's advisory communicationsIntelligent fuzzy logic to predict global warmings effect on agricultureMachine learning algorithms for mapping soil macronutrient elements variabilityA smart IoT framework for soil fertility enhancementAI applications in pest managementA model using Python for predicting rainfall The book examines not only present solutions but also potential future outcomes. It looks at the role of AI-based algorithms and the almost infinite combinations of variables for agricultural applications. Researchers, public and private sector representatives, agriculture scientists, and students can use this book to develop sustainable and solutions for smart agriculture. This books findings are especially important as the planet is facing unprecedented environmental challenges from over-farming and climate change due to global warming. In this book, the recent applications of Artificial Intelligence for smart agriculture have been gathered to provide a valuable source for the literature. Applications vary from use of Machine and Deep Learning to image processing systems. The book aims to provide information on smart methods and intense data processing phases. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-making models, risk profiling of cohorts, and remote treatment. Applying these technologies runs against challenges including interoperability, lack of unified structure for eHealth, and data privacy and security. Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics examines multiple models and solutions for various settings including individual, home, work, and society. The worlds healthcare systems are battling the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to surmount these challenges.This book focuses on the design and implementation of AI-based approaches in the proposed COVID-19 solutions that are enabled and supported by IoMT, sensor networks, cloud and edge computing, robotics, and analytics. It covers technologies under the umbrella of AI that include data science, big data, machine learning (ML), semantic technologies, analytics, and cyber security.Highlights of the book include:Epidemic forecasting modelsSurveillance and tracking systemsIoMT and Internet of Healthcare Things-based integrated systems for COVID-19Social network analysis systemsRadiological image- based diagnosis systemsComputational intelligence methodsThis reference work is beneficial for interdisciplinary students, researchers, and healthcare and technology professionals who need to know how computational intelligence could be used for surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. This book focuses on both the design and implementation of AI-based approaches for systems that aid in monitoring and combating pandemics such as occurred with COVID-19. These systems are based on the Internet of Medical Things (IoMT), using sensor networks and other advanced technologies. The book examines different aspects of AI and IoMT. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New.

Condition: New. SUPER FAST SHIPPING.