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RT Book, Whole SR Electronic DC OPAC T1 Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing : ICCIC 2022, 27–28 December, Hyderabad, India; Volume 1 / edited by Amit Kumar, Gheorghita Ghinea, Suresh Merugu T2 Cognitive Science and Technology. ISSN:21953996 A1 Kumar, Amit A1 Ghinea, Gheorghita A1 Merugu, Suresh A1 SpringerLink (Online service) YR 2023 FD 2023 SP XI, 784 p. 398 illus., 335 illus. in color K1 Computational intelligence K1 Machine learning K1 Artificial intelligence K1 Data mining K1 Internet of things K1 Computational Intelligence K1 Machine Learning K1 Artificial Intelligence K1 Data Mining and Knowledge Discovery K1 Internet of Things ED 1st ed. 2023. PB Springer Nature Singapore : Imprint: Springer PP Singapore SN 9789819927425 LA English (英語) CL LCC:Q342 CL DC23:006.3 NO Making Cell- Free Massive MIMO using MRC technique -- VIP Development of SPI Controller for Open-Power Processor Based Fabless SOC -- Cell-Free Massive MIMO versus Small Cells -- High Precision Navigation using Particle Swarm Optimization based KF -- Recent Advancements for Detection and Prediction of Breast Cancer using Deep Learning A Review NO 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 Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and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 NO HTTP:URL=https://doi.org/10.1007/978-981-99-2742-5 NO 書誌ID=EB00003963; LK [E Book]https://doi.org/10.1007/978-981-99-2742-5 OL 30