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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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Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty presents the application of different fuzzy set theory techniques in... Læs mere
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Uncertainty is certain to be found in structural engineering, making it crucial to structure design. This book covers three competing philosophies behind structural safety and reliability: probabilistic analysis, fuzzy-sets based treatments, and the convex approach.
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Artificial Intelligence and Ethics is a general and wide-ranging survey of the benefits and ethical dilemmas of AI. The book will be of... Læs mere