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. Virgilijus Sakalauskas, Anu Bajaj, Ajith Abraham, K. Reddy Madhavi, Pooja Manghirmalani Mishra, editors. [Text] Volume 4, Machine learning applications /

By:

International Conference on Innovations in Bio-inspired Computing and Applications (14th Olten, Switzerland ; Porto, Portugal ; Kaunas, Lithuania ; Noida, India ; Kochi, India ; Online) 2023

Contributor(s):

Material type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9783031789458

Other title:

Machine learning applications

Subject(s):

DDC classification:

23 006.312 SAK

Online resources:

Table of Contents only

Summary: 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.

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Includes author index.

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.

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