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

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

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 theo...

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Main Authors: Peter Peer, Carlos M. Travieso-Gonzalez, Vijayan K. Asari, Malay Kishore Dutta
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Online Access:https://ieeexplore.ieee.org/document/9461637/
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spelling doaj-72a5adf7b4af47a1b421cf16060652512021-06-21T23:00:21ZengIEEEIEEE Access2169-35362021-01-019866578666010.1109/ACCESS.2021.30886219461637IEEE Access Special Section Editorial: Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and ApplicationsPeter Peer0https://orcid.org/0000-0001-9744-4035Carlos M. Travieso-Gonzalez1Vijayan K. Asari2Malay Kishore Dutta3Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, SloveniaInstitute for Technological Development and Innovation in Communications University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, SpainDepartment of Electrical and Computer Engineering, School of Engineering, University of Dayton, Dayton, OH, USACentre for Advanced Studies, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, IndiaMany 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.https://ieeexplore.ieee.org/document/9461637/
collection DOAJ
language English
format Article
sources DOAJ
author Peter Peer
Carlos M. Travieso-Gonzalez
Vijayan K. Asari
Malay Kishore Dutta
spellingShingle Peter Peer
Carlos M. Travieso-Gonzalez
Vijayan K. Asari
Malay Kishore Dutta
IEEE Access Special Section Editorial: Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications
IEEE Access
author_facet Peter Peer
Carlos M. Travieso-Gonzalez
Vijayan K. Asari
Malay Kishore Dutta
author_sort Peter Peer
title IEEE Access Special Section Editorial: Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications
title_short IEEE Access Special Section Editorial: Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications
title_full IEEE Access Special Section Editorial: Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications
title_fullStr IEEE Access Special Section Editorial: Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications
title_full_unstemmed IEEE Access Special Section Editorial: Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications
title_sort ieee access special section editorial: trends and advances in bio-inspired image-based deep learning methodologies and applications
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description 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.
url https://ieeexplore.ieee.org/document/9461637/
work_keys_str_mv AT peterpeer ieeeaccessspecialsectioneditorialtrendsandadvancesinbioinspiredimagebaseddeeplearningmethodologiesandapplications
AT carlosmtraviesogonzalez ieeeaccessspecialsectioneditorialtrendsandadvancesinbioinspiredimagebaseddeeplearningmethodologiesandapplications
AT vijayankasari ieeeaccessspecialsectioneditorialtrendsandadvancesinbioinspiredimagebaseddeeplearningmethodologiesandapplications
AT malaykishoredutta ieeeaccessspecialsectioneditorialtrendsandadvancesinbioinspiredimagebaseddeeplearningmethodologiesandapplications
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