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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.
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Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
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This book introduces the principle of carrying out a medium term load forecast (MTLF) at power system level, based on the Big Data concept and... Læs mere
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Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015.
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This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial... Læs mere
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Hybrid Genetic Optimization for IC Chip Thermal Control: with MATLAB® applications focuses on the detailed optimization... Læs mere
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Algebraic Structures in Natural Language by bringing together leading researchers from computational and mathematical linguistics, psychology and behavioural... Læs mere
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This book contains applications of CNN methods. The content is quite extensive, including the application of different CNN methods... Læs mere
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Stochastic Optimization for Large-scale Machine Learning identifies different areas of improvement and recent research directions to tackle the... Læs mere