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This book presents the advances in AI techniques under the umbrella of Intelligent Computing. The book provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the Intelligent Computing.
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Neuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight... Læs mere
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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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The book explores diverse legal tech applications, from "robot-judges" to computational law, systematically classifying their impacts and distinguishing... Læs mere
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This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. A valuable reference for advance undergraduate... Læs mere
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Autonomous Driving and Advanced Driver Assistance Systems (ADAS) outlines the latest... Læs mere
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The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools... Læs mere
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This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare.
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This book describes the use of different Mathematical Modeling and Soft Computing techniques used in Epidemiology for experiential research in... Læs mere
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Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn... Læs mere
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This book focuses on artificial intelligence and deep learning approaches, with case studies to solve problems associated with biometric security such as authentication, spoofing attack detection, and object detection.