Deep learning and transformer approaches for UAV-based wildfire detection and segmentation R Ghali, MA Akhloufi, WS Mseddi Sensors 22 (5), 1977, 2022 | 135 | 2022 |
Wildfire segmentation using deep vision transformers R Ghali, MA Akhloufi, M Jmal, W Souidene Mseddi, R Attia Remote Sensing 13 (17), 3527, 2021 | 81 | 2021 |
Deep learning approaches for wildland fires using satellite remote sensing data: Detection, mapping, and prediction R Ghali, MA Akhloufi Fire 6 (5), 192, 2023 | 52 | 2023 |
Fire detection and segmentation using YOLOv5 and U-net WS Mseddi, R Ghali, M Jmal, R Attia 2021 29th European Signal Processing Conference (EUSIPCO), 741-745, 2021 | 45 | 2021 |
Deep learning approaches for wildland fires remote sensing: Classification, detection, and segmentation R Ghali, MA Akhloufi Remote Sensing 15 (7), 1821, 2023 | 43 | 2023 |
Forest fires segmentation using deep convolutional neural networks R Ghali, MA Akhloufi, M Jmal, WS Mseddi, R Attia 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 32 | 2021 |
Recent advances in fire detection and monitoring systems: A review R Ghali, M Jmal, W Souidene Mseddi, R Attia Proceedings of the 8th International Conference on Sciences of Electronics …, 2020 | 30 | 2020 |
Vision transformers for lung segmentation on CXR images R Ghali, MA Akhloufi SN Computer Science 4 (4), 414, 2023 | 13 | 2023 |
YOLO-Based Models for Smoke and Wildfire Detection in Ground and Aerial Images LAO Gonçalves, R Ghali, MA Akhloufi Fire 7 (4), 140, 2024 | 12 | 2024 |
Arseg: an attention regseg architecture for cxr lung segmentation R Ghali, MA Akhloufi 2022 IEEE 23rd International Conference on Information Reuse and Integration …, 2022 | 10 | 2022 |
BoucaNet: a CNN-Transformer for smoke recognition on remote sensing satellite images R Ghali, MA Akhloufi Fire 6 (12), 455, 2023 | 8 | 2023 |
CT-Fire: a CNN-Transformer for wildfire classification on ground and aerial images R Ghali, MA Akhloufi International Journal of Remote Sensing 44 (23), 7390-7415, 2023 | 7 | 2023 |
Wildfire segmentation using deep-regseg semantic segmentation architecture R Ghali, MA Akhloufi, W Souidene Mseddi, M Jmal Proceedings of the 19th International Conference on Content-Based Multimedia …, 2022 | 7 | 2022 |
Wildfires detection and segmentation using deep cnns and vision transformers R Ghali, MA Akhloufi International Conference on Pattern Recognition, 222-232, 2022 | 5 | 2022 |
MA Akhloufi Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation., 2023, 15, 1821 R Ghali DOI: https://doi. org/10.3390/rs15071821, 0 | 5 | |
DC-Fire: A Deep Convolutional Neural Network for Wildland Fire Recognition on Aerial Infrared Images R Ghali, MA Akhloufi Proceedings of the fourth Quantitative Infrared Thermography Asian …, 2023 | 2 | 2023 |
Deep Learning Approach for Wildland Fire Recognition Using RGB and Thermal Infrared Aerial Image R Ghali, MA Akhloufi Fire 7 (10), 343, 2024 | 1 | 2024 |
SWIFT: Simulated Wildfire Images for Fast Training Dataset L Fernando, R Ghali, MA Akhloufi Remote Sensing 16 (9), 1627, 2024 | 1 | 2024 |