2020 International Conference On Emerging Smart Computing And Informatics Esci


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2020 International Conference on Emerging Smart Computing and Informatics (ESCI)


2020 International Conference on Emerging Smart Computing and Informatics (ESCI)

Author: IEEE Staff

language: en

Publisher:

Release Date: 2020-03-12


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This conference mainly focuses towards the emerging techniques required for smart computing and informatics This conference aims to present a unified platform for advanced and multi disciplinary research towards design of smart computing and informatics The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solution to varied problems in society, environment and industries The scope is also extended towards deployment of emerging computational and knowledge transfer approaches, optimizing solutions in varied disciplines of science, technology and healthcare

2020 International Conference on Emerging Smart Computing and Informatics (ESCI)


2020 International Conference on Emerging Smart Computing and Informatics (ESCI)

Author: K. S. Wagh

language: en

Publisher:

Release Date: 2020


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Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing


Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing

Author: Amit Kumar

language: en

Publisher: Springer Nature

Release Date: 2023-10-01


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This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.