Fahima A. Maghraby

According to our database, Fahima A. Maghraby authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Securing IoT Devices with PUFs: Mitigating Aging and Tampering through Cryptography and Machine Learning.

Alaa Abdelmonem, Ahmed Salem, Fahima A. Maghraby

SN Comput. Sci., June, 2026

Crypsis: an elitism-driven observer-based approach for detection and mitigation of concept drift, concept evolution, and label drift.

George S. Yanni, Hisham Salah Rashad, Fahima A. Maghraby

Data Min. Knowl. Discov., June, 2026

2024

Pediatric Posterior Fossa Tumors Classification and Explanation-Driven with Explainable Artificial Intelligence Models.

Eman Ragab Ashry, Fahima A. Maghraby, Yasser M. Abd El-Latif, Mohamed Agag

Int. J. Comput. Intell. Syst., December, 2024

PolyDSS: computer-aided decision support system for multiclass polyp segmentation and classification using deep learning.

Abdelrahman Saad, Fahima A. Maghraby, Osama Badawy

Neural Comput. Appl., 2024

Outsmarting Spam: Resilient Model for Concept Drift and Evolving Threats.

George S. Yanni, H. Salah, Fahima A. Maghraby

Proceedings of the 34th International Conference on Computer Theory and Applications, 2024

2023

PolySeg Plus: Polyp Segmentation Using Deep Learning with Cost Effective Active Learning.

Abdelrahman Saad, Fahima A. Maghraby, Osama Badawy

Int. J. Comput. Intell. Syst., December, 2023

Lexical Normalization Using Generative Transformer Model (LN-GTM).

Mohamed Ashmawy, Mohamed Waleed Fakhr, Fahima A. Maghraby

Int. J. Comput. Intell. Syst., December, 2023

Violence 4D: Violence detection in surveillance using 4D convolutional neural networks.

Mai Magdy, Mohamed Waleed Fakhr, Fahima A. Maghraby

IET Comput. Vis., April, 2023

2020

Machine Learning Model for Multiclass Lesion Diagnoses.

Karim E. Ismail, Mohamed A. AbouRizka, Fahima A. Maghraby

Proceedings of the 2nd Novel Intelligent and Leading Emerging Sciences Conference, 2020

Machine Learning Approaches for Human Activity Recognition Based on Multimodal Body Sensors.

Ghada Gamal, Yasser M. K. Omar, Fahima A. Maghraby

Proceedings of the Intelligent Systems Design and Applications, 2020

Machine Learning Model for Predicting Non-performing Agricultural Loans.

Mohamed Ahmed Elnaggar, Mostafa Abed E. L. Azeem, Fahima A. Maghraby

Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2020

2019

Predicting Drug Interaction With Adenosine Receptors Using Machine Learning and SMOTE Techniques.

Abdelrahman Saad, Yasser M. K. Omar, Fahima A. Maghraby

IEEE Access, 2019

Improve Profiling Bank Customer's Behavior Using Machine Learning.

Emad Abd Elaziz Dawood, Essamedean Elfakhrany, Fahima A. Maghraby

IEEE Access, 2019

Predicting Drug Target Interaction by Integrating Drug Fingerprint and Drug Side Effect Using Machine Learning.

Abdelrahman Saad, Fahima A. Maghraby, Yasser M. K. Omar

Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

2018

Cervical Cancer Diagnosis Using Random Forest Classifier With SMOTE and Feature Reduction Techniques.

Sherif F. Abdoh, Mohamed Abo Rizka, Fahima A. Maghraby

IEEE Access, 2018