Programmable Broad Learning System to Detect Concealed and Imbalanced Baggage Threats-Reference-Cited by-同舟云学术

Programmable Broad Learning System to Detect Concealed and Imbalanced Baggage Threats

Published:2022-05-24 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
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Author:

Shafay Muhammad¹,Hassan Taimur¹,Ahmed Abdelfatah¹,Velayudhan Divya¹,Dias Jorge²,Werghi Naoufel¹

Affiliation:

1. Khalifa University,C2PS and KUCARS,Department of Electrical Engineering and Computer Science,Abu Dhabi,United Arab Emirates

2. Khalifa University,KUCARS,Department of Electrical Engineering and Computer Science,Abu Dhabi,United Arab Emirates

Funder

Department of Education and Knowledge

Publisher

IEEE

Link

Reference49 articles.

2. Darts: Differentiable architecture search;liu,2018

3. Tensor pooling driven instance segmentation framework for baggage threat recognition;hassan;Neural Computing and Applications,2021

5. Baggage threat recognition using deep low-rank broad learning detector;velayudhan;IEEE Mediterranean Electrotechnical Conference (MELECON),2021

Cited by 3 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

2. Highly Imbalanced Baggage Threat Classification;Proceedings of the 2023 15th International Conference on Machine Learning and Computing;2023-02-17

3. Transformers for Imbalanced Baggage Threat Recognition;2022 IEEE International Symposium on Robotic and Sensors Environments (ROSE);2022-11-14