Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)
(Sprache: Englisch)
This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern...
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This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
Inhaltsverzeichnis zu „Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) “
Performance Enhancement of Action Recognition System Using Inception V3 Model.- Synchronized Conceptual Representations in Unsupervised Generative Learning.- The Xoshiro+ Pseudorandom Number Generator in a Computer Chess Program.- IISCAN: Index-based Incremental Structural Clustering Technique for Billion-edge graphs.- Using A Data Mining Approach to Detect Automobile Insurance Fraud.- Arabic fricative consonants characterization according to places of articulation .- Stance Detection on Vietnamese Social Media.- Perception of Autonomous Vehicle for Localization Using Camera and GPS.- EMG-CapsNet: Elu Multiplication Gate Capsule Network for Complex Images Classification.Bibliographische Angaben
- 2022, 1st ed. 2022, XVI, 691 Seiten, 204 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Ajith Abraham, Andries Engelbrecht, Fabio Scotti, Niketa Gandhi, Pooja Manghirmalani Mishra, Giancarlo Fortino, Virgilijus Sakalauskas, Sabri Pllana
- Verlag: Springer, Berlin
- ISBN-10: 3030963012
- ISBN-13: 9783030963019
Sprache:
Englisch
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