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Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023): Volume 3: Information Retrieval and Applications [Mīkstie vāki]

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  • Formāts: Paperback / softback, 531 pages, height x width: 235x155 mm, 185 Illustrations, color; 107 Illustrations, black and white; XVIII, 531 p. 292 illus., 185 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Networks and Systems 1246
  • Izdošanas datums: 04-May-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031889916
  • ISBN-13: 9783031889912
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  • Mīkstie vāki
  • Cena: 198,63 €*
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Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023): Volume 3: Information Retrieval and ApplicationsPalielināt
  • Formāts: Paperback / softback, 531 pages, height x width: 235x155 mm, 185 Illustrations, color; 107 Illustrations, black and white; XVIII, 531 p. 292 illus., 185 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Networks and Systems 1246
  • Izdošanas datums: 04-May-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031889916
  • ISBN-13: 9783031889912
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031889912.html
Keywords:

This book presents 52 selected papers focused on Information Retrieval and Applications from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023). SoCPaR – NaBIC 2023 was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The conference had contributions by authors from 39 countries. This Volume offers a valuable reference guide for all scientists, academicians, researchers, students and practitioners focused on Information Retrieval and Applications.

 

Metaheuristic Intelligence Approach for Sentimental Analysis.- Exploring
The Potential Of Combining Mel Spectorgrams With Neural Networks For Acoustic
Speed Violation Detection.- Machine Learning-based Music Recommendation
System from Spotify.- Analysis of Viral And Non-Viral Categories of Video
Through Social Media Using Machine Learning Techniques.