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231103 ||| eng |
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|a 9789819927463
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| 100 |
1 |
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|a Kumar, Amit
|e [editor]
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| 245 |
0 |
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|a Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing
|h Elektronische Ressource
|b ICCIC 2022, 27–28 December, Hyderabad, India; Volume 2
|c edited by Amit Kumar, Gheorghita Ghinea, Suresh Merugu
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
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| 300 |
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|a XI, 779 p. 378 illus., 308 illus. in color
|b online resource
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| 505 |
0 |
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|a 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 -- Automatic Vehicle Signal Enabling System using IoT -- Study report of TOR anti- forensic techniques
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| 653 |
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|a Machine learning
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| 653 |
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|a Machine Learning
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| 653 |
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|a Internet of things
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Data mining
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Internet of Things
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Data Mining and Knowledge Discovery
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| 700 |
1 |
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|a Ghinea, Gheorghita
|e [editor]
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| 700 |
1 |
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|a Merugu, Suresh
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
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|a Cognitive Science and Technology
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| 028 |
5 |
0 |
|a 10.1007/978-981-99-2746-3
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-99-2746-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.3
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| 520 |
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|a 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
|