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Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications captures the latest research in this;
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This book highlights recent advances in computational intelligence for signal processing, computing, imaging, artificial intelligence, and;
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This book highlights recent advances in computational intelligence for signal processing, computing, imaging, artificial intelligence, and;
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This book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in Sao;
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Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and;
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Advancing research in artificial intelligence is creating reasoning systems that increasingly emulate or surpass the power of human;
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neuroscience and gives a short and focused overview of the development of computational neuroscience and artificial neural networks over the last 40;
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for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion;
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This book constitutes the refereed proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence;
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Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017. The total of 102 full papers was carefully reviewed and selected;
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This book gathers the refereed proceedings of the Artificial Intelligence and Bioinspired Computational Methods Section of the 9th Computer;
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economy. This book also reviews how experimental economics and artificial intelligence have shaped the development of ACE. For the former, the;
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useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational;
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Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and;
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Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from;
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(ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23-24 January 2020. It covers the areas of computational;
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for final undergraduate engineering course (for example, mechanical, manufacturing, systems, etc) or as a subject on artificial intelligence;
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provide the research and review studies on artificial intelligence in manufacturing. The present research book can be used as a text book for;
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probabilistic methods. Computational intelligence provides solutions for real-world problems that cannot be put into binary code. Some popular;
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be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational;
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of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence;
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Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms;
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This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new;
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This book constitutes the refereed proceedings of the Second International Workshop on Human Brain and Artificial Intelligence, HBAI 2020;
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reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.;
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; Artificial Neural Networks in Industry ANNI'17; Computational Intelligence Tools and Techniques for Biomedical Applications; Assistive Rehabilitation;
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; Artificial Neural Networks in Industry ANNI'17; Computational Intelligence Tools and Techniques for Biomedical Applications; Assistive Rehabilitation;
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