Najib Ben Aoun – författare
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5 produkter
5 produkter
E-bok
PDF, Engelska, 20262 839 kr
Läs direkt efter köp
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 ITSs Offers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation Bridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problems Includes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportation Discusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areas It is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.
E-bok
Engelska, 20262 839 kr
Läs direkt efter köp
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 ITSs Offers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation Bridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problems Includes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportation Discusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areas It is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.
Inbunden, Engelska, 2026
2 428 kr
Skickas inom 10-15 vardagar
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.
Inbunden, Engelska, 2026
1 778 kr
Skickas inom 10-15 vardagar
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.
2 130 kr
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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 "e;see beyond"e; 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, "e;AI for Medical Image Analysis: reconciling Innovation and ethical considerations,"e; 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.