Automatic face detection based on bidirectional recurrent neural network optimized by improved Ebola optimization search algorithm

Face detection is a multidisciplinary research subject that employs fundamental computer algorithms, image processing, and patterning. Neural networks, on the other hand, have been widely developed to solve challenges in the domains of feature extraction, pattern detection, and the like in general....

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Bibliographic Details
Published in:	Scientific reports Vol. 14; no. 1; pp. 27798 - 19
Main Authors:	Gao, Guang, Chen, Chuangchuang, Xu, Kun, Liu, Kai, Mashhadi, Arsam
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 13.11.2024 Nature Publishing Group Nature Portfolio
Subjects:	639/166 639/166/987 Accuracy Algorithms Bidirectional recurrent neural network Databases, Factual Deep Learning Ebola virus Ebolavirus Face Face detection Hemorrhagic Fever, Ebola - diagnosis Humanities and Social Sciences Humans Image processing Image Processing, Computer-Assisted - methods Improved Ebola optimization search algorithm Information processing multidisciplinary Multidisciplinary research Neural networks Neural Networks, Computer Pattern formation Pattern Recognition, Automated - methods Science Science (multidisciplinary) Deep learning Bidirectional recurrent neural network Improved Ebola optimization search algorithm Face detection
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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