Name: Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing: ICCIC 2022, 27-28 December, Hyderabad, India; Volume 2 (en Inglés)
SKU: 57046007
Price: 5271.67 MXN
Availability: InStock
Author: Kumar, Amit ; Ghinea, Gheorghita ; Merugu, Suresh
ISBN: 9789819927456

portada Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing: ICCIC 2022, 27-28 December, Hyderabad, India; Volume 2 (en Inglés)

Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing: ICCIC 2022, 27-28 December, Hyderabad, India; Volume 2 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Kumar, Amit ; Ghinea, Gheorghita ; Merugu, Suresh

Idioma

Inglés

N° páginas

779

Encuadernación

Tapa Dura

ISBN13

9789819927456

N° edición

Categorías

Ingeniería: general
Minería de datos («data mining»)
Inteligencia artificial

Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing: ICCIC 2022, 27-28 December, Hyderabad, India; Volume 2 (en Inglés)

Kumar, Amit ; Ghinea, Gheorghita ; Merugu, Suresh (Autor) · Springer · Tapa Dura

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Reseña del libro "Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing: ICCIC 2022, 27-28 December, Hyderabad, India; Volume 2 (en Inglés)"

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 Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and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.