Mohamed Saadeldin
Orcid: 0000-0003-4104-9524
According to our database1,
Mohamed Saadeldin authored at least 11 papers
between 2021 and 2026.
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Bibliography
2026
CoRR, February, 2026
2025
CoMViT: An Efficient Vision Backbone for Supervised Classification in Medical Imaging.
CoRR, October, 2025
Efficient Melanoma Detection Using Pixel Intensity-Based Masking and Intensity-Weighted Binary Cross-Entropy.
Int. J. Imaging Syst. Technol., 2025
2023
Developing a Foresight Model for Law Enforcement Organizations to Detect and Analyze Future Challenges and Threats.
Proceedings of the Information Systems and Technologies, 2023
2022
Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation.
CoRR, 2022
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation.
CoRR, 2022
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset.
CoRR, 2021
An Orthogonal Classification Layer with Kasami Sequences for Discriminative Feature Learning in Neural Networks.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Semi-supervised dry herbage mass estimation using automatic data and synthetic images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions.
Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021