Authentication control system for the efficient detection of hard-hats using deep learning algorithms-Reference-Cited by-同舟云学术

Authentication control system for the efficient detection of hard-hats using deep learning algorithms

Published:2021-11-17 Issue:8 Volume:24 Page:2291-2306
ISSN:0972-0529
Container-title:Journal of Discrete Mathematical Sciences and Cryptography
language:en
Short-container-title:Journal of Discrete Mathematical Sciences and Cryptography

Author:

Nain Megha¹,Sharma Shilpa¹,Chaurasia Sandeep²

Affiliation:

1. Department of Computer Applications School of Basic Science, Manipal University Jaipur, Jaipur 303007, Rajasthan, India

2. Department of Computer Science and Engineering, School of Computing & Information Technology, Manipal University Jaipur, Jaipur 303007, Rajasthan, India

Publisher

Informa UK Limited

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720529.2021.2011109

Reference30 articles.

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3. M. Nain, S. Sharma, and S. Chaurasia, “Pandemic Management Using Artificial Intelligence-Based Safety Measures,” pp. 86–110, 2021, doi: 10.4018/978-1-7998-7188-0.ch007.

4. D. Qi, W. Tan, Q. Yao, and J. Liu, “YOLO5Face: Why Reinventing a Face Detector,” 2021, [Online]. Available: http://arxiv.org/abs/2105.12931.

5. D. Bolya, C. Zhou, F. Xiao, and Y. J. Lee, “YOLACT: Real-time instance segmentation,” Proc. IEEE Int. Conf. Comput. Vis., vol. 2019-Octob, pp. 9156–9165, 2019, doi: 10.1109/ICCV.2019.00925.

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