Mohamed G. Embaby
Orcid: 0000-0002-9695-3433
According to our database1,
Mohamed G. Embaby authored at least 7 papers
between 2024 and 2026.
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Bibliography
2026
CoRR, April, 2026
FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection.
CoRR, January, 2026
2025
CarboNeXT and CarboFormer: Dual Semantic Segmentation Architectures for Detecting and Quantifying Carbon Dioxide Emissions Using Optical Gas Imaging.
CoRR, June, 2025
Optical gas imaging and deep learning for quantifying enteric methane emissions from rumen fermentation in vitro.
IET Image Process., 2025
CarboFormer: A Lightweight Semantic Segmentation Architecture for Efficient Carbon Dioxide Detection Using Optical Gas Imaging.
Proceedings of the Advances in Visual Computing - 20th International Symposium, 2025
GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
2024
Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024