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Record Nr. |
UNINA9910746963203321 |
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Autore |
Kumar Amit |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (755 pages) |
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Collana |
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Cognitive Science and Technology, , 2195-3996 |
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Altri autori (Persone) |
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GhineaGheorghita |
MeruguSuresh |
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Disciplina |
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Soggetti |
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Computational intelligence |
Machine learning |
Artificial intelligence |
Data mining |
Internet of things |
Computational Intelligence |
Machine Learning |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
Internet of Things |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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, |
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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. |
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