Semi-supervised, Neural Network based approaches to face mask and anomaly detection in surveillance networks-Reference-Cited by-同舟云学术

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Semi-supervised, Neural Network based approaches to face mask and anomaly detection in surveillance networks

Published:2024-02 Issue: Volume:222 Page:103786
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Saheel Sabir^ORCID,Alvi Anik^ORCID,Ani Aninda Roy,Ahmed Tarem,Uddin Mohammad Faisal

Funder

Independent University, Bangladesh

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference42 articles.

1. Online anomaly detection using KDE;Ahmed,2009

2. Real-time intruder detection in surveillance networks using adaptive kernel methods;Ahmed,2010

3. Multivariate online anomaly detection using kernel recursive least squares;Ahmed,2007

4. Machine learning approaches to network anomaly detection;Ahmed;Proc. SysML,2007

5. Adaptive algorithms for automated intruder detection in surveillance networks;Ahmed,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mask Compliance in Public Services: A Comparative Study of Machine Learning and CNN Models for Mask Detection;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

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