Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing : ICCIC 2022, 03-04 December, Hyderabad, India. Volume 2 / Amit Kumar, Gheorghita Ghinea, Suresh Merugu, editors.
2023
QA76.9.S63 I58 2022
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Title
Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing : ICCIC 2022, 03-04 December, Hyderabad, India. Volume 2 / Amit Kumar, Gheorghita Ghinea, Suresh Merugu, editors.
Meeting Name
ISBN
9789819927463 (electronic bk.)
9819927463 (electronic bk.)
9789819927456
9819927455
9819927463 (electronic bk.)
9789819927456
9819927455
Published
Singapore : Springer, 2023.
Language
English
Description
1 online resource (587 pages) : illustrations (black and white, and color).
Item Number
10.1007/978-981-99-2746-3 doi
Call Number
QA76.9.S63 I58 2022
Dewey Decimal Classification
006.3
Summary
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 Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and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.
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Description based on print version record.
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Series
Cognitive science and technology.
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Table of Contents
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.
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.