Bio-Inspired Computing | Proceedings of the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) held during December 14-15, 2023, Volume 4: Machine Learning Applications

Virgilijus Sakalauskas (u. a.)

ISBN 10: 3031789458 / ISBN 13: 9783031789458

Published by Springer, 2025

About this Item

Bio-Inspired Computing | Proceedings of the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) held during December 14-15, 2023, Volume 4: Machine Learning Applications | Virgilijus Sakalauskas (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xx | Englisch | 2025 | Springer | EAN 9783031789458 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 133357723

Bibliographic Details

• Title: Bio-Inspired Computing | Proceedings of the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) held during December 14-15, 2023, Volume 4: Machine Learning Applications
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 3031789458
• ISBN 13: 9783031789458
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 30D millimeters 235 millimeters width by 155 millimeters height by 30 millimeters depth
• Weight: 832 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book presents 53 selected papers focused on Machine Learning and Applications from the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) and 13th World Congress on Information and Communication Technologies (WICT 2023), which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. IBICA-WICT 2023 had contributions by authors from 36 countries. This book offers a valuable reference guide for all scientists, academicians, researchers, students, and practitioners focused on Machine Learning and Applications.