Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing [electronic resource] : ICCIC 2022, 27-28 December, Hyderabad, India; Volume 2 / edited by Amit Kumar, Gheorghita Ghinea, Suresh Merugu.
Tipo de material: TextoSeries Cognitive Science and TechnologyEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XI, 779 p. 378 illus., 308 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819927463Tema(s): Computational intelligence | Machine learning | Artificial intelligence | Data mining | Internet of things | Computational Intelligence | Machine Learning | Artificial Intelligence | Data Mining and Knowledge Discovery | Internet of ThingsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
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.
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 Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and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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