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IEEE Access Special Section Editorial: Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications

Authors :
Peter Peer
Carlos M. Travieso-Gonzalez
Vijayan K. Asari
Malay Kishore Dutta
Source :
IEEE Access, Vol 9, Pp 86657-86660 (2021)
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Many of the technological advances we enjoy today have been inspired by biological systems due to their ease of operation and outstanding efficiency. Designing technological solutions based on biological inspiration has become a cornerstone of research in a variety of areas ranging from control theory and optimization to computer vision, machine learning, and artificial intelligence. Especially in the latter few areas, biologically relevant solutions are becoming increasingly important as we look for new ways to make artificial systems more efficient, intelligent, and overall effective.

Details

Language :
English
ISSN :
21693536 and 16060652
Volume :
9
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.72a5adf7b4af47a1b421cf1606065251
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2021.3088621