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Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena.
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The art of learning, associative, cognitive, and creative learning are stated and defined. Learning simplicity, information content as related to neural... Læs mere
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This book explores the latest research in high performance domain-specific computer architectures... Læs mere
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The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis.
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This book examines AI applications in a range of fields related to environmental engineering.
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This book covers topics related to Artificial Intelligence, Internet of Things (IoT) , and Data Science for future communications systems. It is beneficial for undergraduate, graduate, postgraduate students, researchers, academicians, institutions, engineers, professionals.
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Real-Time Multi-Chip Neural Network for Cognitive Systems presents novel real-time, reconfigurable, multi-chip SNN system architecture based on localized communication, which effectively reduces the communication cost to a linear growth.
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This book provides a holistic overview of all aspects of federated AI, which allows creation of real-world applications in contexts where data is dispersed in many different locations.
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This book presents latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas of using IoT with deep learning (motion-based object data) to deal with human dynamics, and challenges.
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The book aims to highlight the potential of Deep Learning (DL)-based methods in Intelligent Fault Diagnosis (IFD), along with their benefits and contributions.
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