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"Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives" is an essential read for anyone interested in the future of agriculture and the role that technology can play in mitigating the impact of climate change.
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The network add-on method prevents the adversarial examples by training the adversarial example detector.Testing deep neural networks is an effective method to measure the security and robustness of deep learning models.
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This book delves into the evolving field of computational intelligence, highlighting its intersection with computer science, AI, and machine... Læs mere
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This book introduces readers with a background in linear algebra to a robust new framework for developing control algorithms. Rather than making probabilistic assumptions... Læs mere
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This unique book aims to address the challenges of machine learning statistics, emphasize the importance of performance valuation by appropriate metrics and... Læs mere
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This book presents a groundbreaking aspect of fundamental plasma chemistry that integrates modern machine learning and neuromorphic systems. This is the first book to introduce such a unique theory.
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This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain.... Læs mere
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This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques... Læs mere