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This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating... Læs mere
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Accurately detecting crack localization is not an easy task. This book addresses important issues in detecting crack-like objects and provides a practical smart pavement surface inspection system using deep learning.
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This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics.
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This book brings together examples from the “Innovative Ecosystem with Artificial Intelligence for Andalusia... Læs mere
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This book explores the application use of machine learning and artificial intelligence in smart agriculture by Identifying and describing... Læs mere
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Entropy Randomization in Machine Learning presents a new approach to machine learning - entropy randomization - to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study).
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This book comprehensively covers concepts of recurrent neural networks and discusses practical issues such as predictability and nonlinearity... Læs mere
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This book introduces AI-based Lagrange optimization techniques which enable more optimised concrete structural design,... Læs mere
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This book helps to enhance the application of fuzzy logic optimization in the areas of science and engineering. It includes... Læs mere
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The book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great... Læs mere
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This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics,... Læs mere
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This book focuses on deep learning-based approaches in the field of Diabetes Mellitus detection and diagnosis, including preprocessing... Læs mere