Investigating the Efficiency of Deep Learning Models in Bioinspired Object Detection-Reference-Cited by-同舟云学术

Investigating the Efficiency of Deep Learning Models in Bioinspired Object Detection

Published:2022-07-20 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
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Author:

Ajagbe Sunday A.¹,Oki Olukayode A.²,Oladipupo Matthew A.³,Nwanakwaugwu Andrew⁴

Affiliation:

1. University of Technology,Ladoke Akintola,Department of Computer Engineering,Ogbomoso,Nigeria

2. Walter Sisulu University,Department of Information Technology, East London,South Africa

3. University of Salford, Salford M5 4WT, Greater,Department of Data Science,Manchester,United Kingdom

4. University of Salford, Salford M5 4WT, Greater,Department of Data Science,Manchester,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872524/9872533/09872568.pdf?arnumber=9872568

Reference20 articles.

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2. 3D-Aided Dual-Agent GANs for Unconstrained Face Recognition

3. An Optimization Method for Intrusion Detection Classification Model based on Deep Belief Network;wei;IEEE Access,2020

4. Bioinspired Approaches for Autonomous Small-Object Detection and Avoidance

5. Automatic Face Mask Detection System in Public Transportation in Smart Cities Using IoT and Deep Learning

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