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This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things.
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This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.
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Machine learning, one of the top emerging sciences, has an extremely broad range of applications.
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This book shows how machine learning can be applied to address real-world problems in the fourth industrial revolution and provides the required knowledge and... Læs mere
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Showing how data mining tools are developed, this practical guide explains how to use intrusion detection for security applications, Web page surfing... Læs mere
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This book will cover all the topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoenders. The focus will be on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints.
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This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community.
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This book discusses the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. It describes... Læs mere
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This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification.... Læs mere
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This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed,... Læs mere