Najib ben aoun (31 risultati)

hardcover. Condizione: Very Good.

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The way doctors identify, treat, and manage illnesses has been completely transformed by the introduction of artificial intelligence (AI) into healthcare. The application of image processing and computer vision technologies is one of the most impactful advancements, which has boosted the accuracy and effectiveness of medical image analysis, enhanced treatment planning and enabled more personalized care. With the use of these technologies, healthcare professionals may now 'see beyond' the limits of conventional imaging techniques, gaining deeper understanding and more thorough analyses both essential for efficient patient care. However, applying AI techniques for medical image analysis has to be conducted while upholding the ethical considerations to ensure the technology benefits patients and healthcare providers while minimizing potential risks. In fact, it is essential to establish a thorough framework that incorporates stringent validation on diverse and representative datasets to mitigate bias and guarantee accuracy across different populations. AI systems must exhibit transparency and explainability, enabling healthcare professionals to comprehend and trust their outputs, while accountability measures distinctly delineate responsibility for AI-generated judgments. In addition, AI systems have to support, not replace, the clinicians, guaranteeing that they continue to play a crucial role in decision-making. The development and deployment of AI-based medica image analysis systems have to be guided by ethical oversight committees to address any emerging issues.This book, 'AI for Medical Image Analysis: reconciling Innovation and ethical considerations,' delves into the use of AI in medical image analysis while adhering to ethical considerations. It will cover the technological advancements, applications, strategies and ethical considerations around the use of AI in healthcare imaging. It presents a holistic perspective on how AI-driven computer vision and image processing are reshaping the healthcare landscape and expanding the realm of what is conceivable for medical diagnostics and treatment.…

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Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

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Hardcover. Condizione: Brand New. 356 pages. 9.26x6.11x9.21 inches. In Stock.

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Hardback. Condizione: New. This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant.Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSsOffers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigationBridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problemsIncludes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportationDiscusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areasIt is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.…

Hardcover. Condizione: Brand New. 448 pages. 9.18x6.12x9.45 inches. In Stock.

Hardback. Condizione: New. This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant.Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSsOffers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigationBridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problemsIncludes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportationDiscusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areasIt is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.…

Hardcover. Condizione: new. Hardcover. This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant.Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSsOffers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigationBridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problemsIncludes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportationDiscusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areasIt is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation. The aim of the book is to explore and highlight the latest techniques and applications of Artificial Intelligence (AI) and fuzzy logic in the development of Intelligent Transportation Systems (ITS). It seeks to offer a detailed examination of how these technologies can be leveraged to solve complex transportation challenges. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The way doctors identify, treat, and manage illnesses has been completely transformed by the introduction of artificial intelligence (AI) into healthcare. The application of image processing and computer vision technologies is one of the most impactful advancements, which has boosted the accuracy and effectiveness of medical image analysis, enhanced treatment planning and enabled more personalized care. With the use of these technologies, healthcare professionals may now 'see beyond' the limits of conventional imaging techniques, gaining deeper understanding and more thorough analyses both essential for efficient patient care. However, applying AI techniques for medical image analysis has to be conducted while upholding the ethical considerations to ensure the technology benefits patients and healthcare providers while minimizing potential risks. In fact, it is essential to establish a thorough framework that incorporates stringent validation on diverse and representative datasets to mitigate bias and guarantee accuracy across different populations. AI systems must exhibit transparency and explainability, enabling healthcare professionals to comprehend and trust their outputs, while accountability measures distinctly delineate responsibility for AI-generated judgments. In addition, AI systems have to support, not replace, the clinicians, guaranteeing that they continue to play a crucial role in decision-making. The development and deployment of AI-based medica image analysis systems have to be guided by ethical oversight committees to address any emerging issues.This book, 'AI for Medical Image Analysis: reconciling Innovation and ethical considerations,' delves into the use of AI in medical image analysis while adhering to ethical considerations. It will cover the technological advancements, applications, strategies and ethical considerations around the use of AI in healthcare imaging. It presents a holistic perspective on how AI-driven computer vision and image processing are reshaping the healthcare landscape and expanding the realm of what is conceivable for medical diagnostics and treatment. 356 pp. Englisch.…

Hardcover. Condizione: new. Hardcover. This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant.Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSsOffers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigationBridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problemsIncludes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportationDiscusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areasIt is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation. The aim of the book is to explore and highlight the latest techniques and applications of Artificial Intelligence (AI) and fuzzy logic in the development of Intelligent Transportation Systems (ITS). It seeks to offer a detailed examination of how these technologies can be leveraged to solve complex transportation challenges. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Preface.- Chapter 1 Introduction to AI in Medical Image Analysis.- Chapter 2 Fundamentals of medical image analysis.- Chapter 3 The Role of AI in Enhancing Imaging Modalities.- Chapter 4 Machine Learning for Image Processing in Healthcare.- Chapter 5 Deep Learning Revolution in Medical Image analysis.- Chapter 6 Harnessing Diffusion Models for Advanced Medical Image Analysis.- Chapter 7 AI-Enhanced Tumor Detection and Segmentation.- Chapter 8 Personalized Medicine Through AI-Driven Imaging.- Chapter 9 AI-Driven Medical Image Analysis: Challenges and Limitations.- Chapter 10 Future Directions for AI in Medical Image Analysis.- Chapter 11 Ethical and Regulatory Considerations in AI-Based Imaging.- Chapter 12 AI in Medical Image Analysis: Societal Impact and Inclusivity.- Chapter 13 Conclusion: Seeing BeyondAI's Promising Future in Medical Image Analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.…

Hardcover. Condizione: new. Hardcover. The way doctors identify, treat, and manage illnesses has been completely transformed by the introduction of artificial intelligence (AI) into healthcare. The application of image processing and computer vision technologies is one of the most impactful advancements, which has boosted the accuracy and effectiveness of medical image analysis, enhanced treatment planning and enabled more personalized care. With the use of these technologies, healthcare professionals may now "see beyond" the limits of conventional imaging techniques, gaining deeper understanding and more thorough analysesboth essential for efficient patient care. However, applying AI techniques for medical image analysis has to be conducted while upholding the ethical considerations to ensure the technology benefits patients and healthcare providers while minimizing potential risks. In fact, it is essential to establish a thorough framework that incorporates stringent validation on diverse and representative datasets to mitigate bias and guarantee accuracy across different populations. AI systems must exhibit transparency and explainability, enabling healthcare professionals to comprehend and trust their outputs, while accountability measures distinctly delineate responsibility for AI-generated judgments. In addition, AI systems have to support, not replace, the clinicians, guaranteeing that they continue to play a crucial role in decision-making. The development and deployment of AI-based medica image analysis systems have to be guided by ethical oversight committees to address any emerging issues.This book, "AI for Medical Image Analysis: reconciling Innovation and ethical considerations," delves into the use of AI in medical image analysis while adhering to ethical considerations. It will cover the technological advancements, applications, strategies and ethical considerations around the use of AI in healthcare imaging. It presents a holistic perspective on how AI-driven computer vision and image processing are reshaping the healthcare landscape and expanding the realm of what is conceivable for medical diagnostics and treatment.This book will: Highlight the efficiency of AI for the medical image analysis and tumor segmentation, including machine learning and deep learning models. Include case studies across many areas of AI in medical imaging data. Investigate the ethical, regulatory and social considerations of AI in medical image analysisPresent the current challenges and futures research directions. mso-fareast-language: EN-IN;">This book, "AI for Medical Image Analysis: reconciling Innovation and ethical considerations," delves into the use of AI in medical image analysis while adhering to ethical considerations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant.Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSsOffers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigationBridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problemsIncludes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportationDiscusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areasIt is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation. The aim of the book is to explore and highlight the latest techniques and applications of Artificial Intelligence (AI) and fuzzy logic in the development of Intelligent Transportation Systems (ITS). It seeks to offer a detailed examination of how these technologies can be leveraged to solve complex transportation challenges. 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.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mariya Ouaissa is currently a Professor in Cybersecurity and Networks at Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She is a Ph.D. graduated in 2019 in Computer Science and Networks from ENSAM-Moulay Ismail University, Mekne.…

Buch. Condizione: Neu. Artificial Intelligence and Fuzzy Logic for Next-Generation Intelligent Transportation Systems | Mariya Ouaissa (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041093299 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…