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Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Network: Machine Learning and Convolutional Neural Network - Couverture souple
Synopsis
Machine Learning–Driven Image Processing and Object Detection Using Convolutional Neural Networks explores the transformative role of artificial intelligence in modern image analysis and visual recognition systems. The book provides a comprehensive introduction to machine learning concepts and their application in advanced image processing techniques, with a special emphasis on Convolutional Neural Networks (CNNs). Designed for students, researchers, and technology enthusiasts, this book bridges the gap between theoretical foundations and real-world applications. It presents core principles of digital image processing, feature extraction, pattern recognition, and object detection, supported by practical examples and implementation strategies. Readers will gain insights into how CNN architectures are used to enhance image classification, medical image analysis, surveillance systems, and automated detection technologies.The book also highlights emerging trends, challenges, and future research directions in AI-driven image analysis. Through a structured and easy-to-understand approach, it enables learners to develop a strong conceptual understanding along with practical problem-solving skills. With a focus on innovation and applied learning, this book serves as a valuable resource for those interested in exploring intelligent image processing systems powered by machine learning and deep learning techniques.Written in a clear and accessible style, this book is an essential resource for undergraduate and postgraduate students, researchers, academicians, and professionals seeking to understand and implement machine learning–based image processing and object detection techniques. By combining theoretical insights with practical knowledge, the book encourages readers to explore advanced AI technologies and develop innovative solutions for real-world challenges.
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Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Network: Machine Learning and Convolutional Neural Network
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Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Network
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Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Network: Machine Learning and Convolutional Neural Network
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Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Network (Paperback)
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Paperback. Etat : new. Paperback. Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Networks explores the transformative role of artificial intelligence in modern image analysis and visual recognition systems. The book provides a comprehensive introduction to machine learning concepts and their application in advanced image processing techniques, with a special emphasis on Convolutional Neural Networks (CNNs). Designed for students, researchers, and technology enthusiasts, this book bridges the gap between theoretical foundations and real-world applications. It presents core principles of digital image processing, feature extraction, pattern recognition, and object detection, supported by practical examples and implementation strategies. Readers will gain insights into how CNN architectures are used to enhance image classification, medical image analysis, surveillance systems, and automated detection technologies.The book also highlights emerging trends, challenges, and future research directions in AI-driven image analysis. Through a structured and easy-to-understand approach, it enables learners to develop a strong conceptual understanding along with practical problem-solving skills. With a focus on innovation and applied learning, this book serves as a valuable resource for those interested in exploring intelligent image processing systems powered by machine learning and deep learning techniques.Written in a clear and accessible style, this book is an essential resource for undergraduate and postgraduate students, researchers, academicians, and professionals seeking to understand and implement machine learning-based image processing and object detection techniques. By combining theoretical insights with practical knowledge, the book encourages readers to explore advanced AI technologies and develop innovative solutions for real-world 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. N° de réf. du vendeur 9789999337137
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Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Network (Paperback)
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Paperback. Etat : new. Paperback. Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Networks explores the transformative role of artificial intelligence in modern image analysis and visual recognition systems. The book provides a comprehensive introduction to machine learning concepts and their application in advanced image processing techniques, with a special emphasis on Convolutional Neural Networks (CNNs). Designed for students, researchers, and technology enthusiasts, this book bridges the gap between theoretical foundations and real-world applications. It presents core principles of digital image processing, feature extraction, pattern recognition, and object detection, supported by practical examples and implementation strategies. Readers will gain insights into how CNN architectures are used to enhance image classification, medical image analysis, surveillance systems, and automated detection technologies.The book also highlights emerging trends, challenges, and future research directions in AI-driven image analysis. Through a structured and easy-to-understand approach, it enables learners to develop a strong conceptual understanding along with practical problem-solving skills. With a focus on innovation and applied learning, this book serves as a valuable resource for those interested in exploring intelligent image processing systems powered by machine learning and deep learning techniques.Written in a clear and accessible style, this book is an essential resource for undergraduate and postgraduate students, researchers, academicians, and professionals seeking to understand and implement machine learning-based image processing and object detection techniques. By combining theoretical insights with practical knowledge, the book encourages readers to explore advanced AI technologies and develop innovative solutions for real-world 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. N° de réf. du vendeur 9789999337137
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Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Network : Machine Learning and Convolutional Neural Network
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Networks explores the transformative role of artificial intelligence in modern image analysis and visual recognition systems. The book provides a comprehensive introduction to machine learning concepts and their application in advanced image processing techniques, with a special emphasis on Convolutional Neural Networks (CNNs). Designed for students, researchers, and technology enthusiasts, this book bridges the gap between theoretical foundations and real-world applications. It presents core principles of digital image processing, feature extraction, pattern recognition, and object detection, supported by practical examples and implementation strategies. Readers will gain insights into how CNN architectures are used to enhance image classification, medical image analysis, surveillance systems, and automated detection technologies.The book also highlights emerging trends, challenges, and future research directions in AI-driven image analysis. Through a structured and easy-to-understand approach, it enables learners to develop a strong conceptual understanding along with practical problem-solving skills. With a focus on innovation and applied learning, this book serves as a valuable resource for those interested in exploring intelligent image processing systems powered by machine learning and deep learning techniques.Written in a clear and accessible style, this book is an essential resource for undergraduate and postgraduate students, researchers, academicians, and professionals seeking to understand and implement machine learning-based image processing and object detection techniques. By combining theoretical insights with practical knowledge, the book encourages readers to explore advanced AI technologies and develop innovative solutions for real-world challenges. N° de réf. du vendeur 9789999337137
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Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Network | Machine Learning and Convolutional Neural Network
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Taschenbuch. Etat : Neu. Machine Learning-Driven Image Processing and Object Detection Using Convolutional Neural Network | Machine Learning and Convolutional Neural Network | Sonu Rana (u. a.) | Taschenbuch | Englisch | 2026 | Eliva Press | EAN 9789999337137 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 136371450
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