The textbook provides students with tools they need to analyze complex data using methods from data science, machine... Læs mere
This book presents the first systematic study of graphical symbol systems, including a history of graphical symbols from the Paleolithic onwards, a taxonomy of non-linguistic systems – systems that are not tied to spoken language – and a survey of more than 25 such systems.
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The text investigation various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will... Læs mere
This book investigates in detail the emerging deep learning (DL) technique in computational physics,... Læs mere
Bayesian Optimization in Action teaches you how to build Bayesian Optimisation systems from the ground up. This book transforms state-of-the-art research into usable... Læs mere
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This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts:... Læs mere
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This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders.
Addresses different pattern recognition (PR) tasks in a unified framework with both theoretical... Læs mere
This book is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical... Læs mere