Enhanced Thermal Human Detection in Military Applications Using Deep Learning-Reference-Cited by-同舟云学术

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Enhanced Thermal Human Detection in Military Applications Using Deep Learning

Published:2024-07-22 Issue: Volume:12 Page:91-98
ISSN:
Container-title:2024 International Telecommunications Conference (ITC-Egypt)
language:
Short-container-title:

Author:

Elgohary Rania¹,Mahmoud Ahmed Khairy²,Khaled Omar¹,Salah Shaimaa¹,Badawi M.B.³^ORCID

Affiliation:

1. College of Information Technology, Misr University for Science and Technology,Department of Artificial Intelligence,Giza,Egypt

2. Air Defense College, Alexandria University,Alexandria,Egypt

3. College of Information Technology, Misr University for Science and Technology (MUST),Department of Artificial Intelligence,Egypt,12566

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10620403/10620452/10620540.pdf?arnumber=10620540

Reference28 articles.

1. LSNet: Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images

2. Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation

3. A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images

4. Thermal images-aware guided early fusion network for cross-illumination RGB-T salient object detection

5. Thermal performance improvement of thermal energy storage systems by employing a contrastive experiment

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