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Nermeen Gamal Rezk

Showing results (1-10 of 5) with videos related to

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Scientific Reports|March 5, 2026
An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extractionHeba El-Behery, Abdel-Fattah Attia, Nermeen Gamal Rezk
Bioengineering (Basel, Switzerland)|April 26, 2025
Explainable AI for Chronic Kidney Disease Prediction in Medical IoT: Integrating GANs and Few-Shot LearningNermeen Gamal Rezk, Samah Alshathri, Amged Sayed, et al.
Bioengineering (Basel, Switzerland)|October 25, 2024
XAI-Augmented Voting Ensemble Models for Heart Disease Prediction: A SHAP and LIME-Based ApproachNermeen Gamal Rezk, Samah Alshathri, Amged Sayed, et al.
Diagnostics (Basel, Switzerland)|March 13, 2025
Secure Hybrid Deep Learning for MRI-Based Brain Tumor Detection in Smart Medical IoT SystemsNermeen Gamal Rezk, Samah Alshathri, Amged Sayed, et al.
Scientific Reports|July 29, 2025
An efficient IoT-based crop damage prediction framework in smart agricultural systemsNermeen Gamal Rezk, Abdel-Fattah Attia, Mohamed A El-Rashidy, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|March 5, 2026
An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extractionHeba El-Behery, Abdel-Fattah Attia, Nermeen Gamal Rezk
Bioengineering (Basel, Switzerland)|April 26, 2025
Explainable AI for Chronic Kidney Disease Prediction in Medical IoT: Integrating GANs and Few-Shot LearningNermeen Gamal Rezk, Samah Alshathri, Amged Sayed, et al.
Bioengineering (Basel, Switzerland)|October 25, 2024
XAI-Augmented Voting Ensemble Models for Heart Disease Prediction: A SHAP and LIME-Based ApproachNermeen Gamal Rezk, Samah Alshathri, Amged Sayed, et al.
Diagnostics (Basel, Switzerland)|March 13, 2025
Secure Hybrid Deep Learning for MRI-Based Brain Tumor Detection in Smart Medical IoT SystemsNermeen Gamal Rezk, Samah Alshathri, Amged Sayed, et al.
Scientific Reports|July 29, 2025
An efficient IoT-based crop damage prediction framework in smart agricultural systemsNermeen Gamal Rezk, Abdel-Fattah Attia, Mohamed A El-Rashidy, et al.
Pageof 1