Mohamed Saadeldin

12 papers B 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
CAViT - Channel-Aware Vision Transformer for Dynamic Feature Fusion.
CoRR
Aon Safdar, Mohamed Saadeldin
2025 J jnl
CoMViT: An Efficient Vision Backbone for Supervised Classification in Medical Imaging.
CoRR
Aon Safdar, Mohamed Saadeldin
2025 J jnl
Efficient Melanoma Detection Using Pixel Intensity-Based Masking and Intensity-Weighted Binary Cross-Entropy.
Int. J. Imaging Syst. Technol.
Asaad Ahmed, Guangmin Sun, Mohamed Saadeldin, Anas Bilal, Yu Li, Musa Osman, Shouki A. Ebad
2023 — conf
Developing a Foresight Model for Law Enforcement Organizations to Detect and Analyze Future Challenges and Threats.
WorldCIST (3)
Mohamed Saadeldin
2022 — conf
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation.
CVPR Workshops
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
2022 J jnl
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation.
CoRR
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Jaime B. Fernandez, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
2022 J jnl
Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation.
CoRR
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling H. O'Connor, Noel E. O'Connor, Kevin McGuinness
2021 — conf
Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions.
AICS
Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Noel E. O'Connor, Brian Mac Namee
2021 B conf
An Orthogonal Classification Layer with Kasami Sequences for Discriminative Feature Learning in Neural Networks.
ICTAI
Mohamed Saadeldin, Brian MacNamee
2021 J jnl
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset.
CoRR
Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Brian Mac Namee
2021 — conf
Semi-supervised dry herbage mass estimation using automatic data and synthetic images.
ICCVW
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
2021 J jnl
Semi-supervised dry herbage mass estimation using automatic data and synthetic images.
CoRR
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness