Noor Ayesha

According to our database, Noor Ayesha authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

A lightweight deep learning framework for real time brain tumor detection and characterization using MR images.

Usman Ali, Sajid, Rehman Saleem, Nabeel Imran, Saeed Ali Omer Bahaj, Tariq Mahmood, Noor Ayesha

Discov. Artif. Intell., December, 2026

2025

Multi-label malicious cybersecurity attack detection to secure internet of things devices using MADA and synthetic deep algorithm.

Amjad Rehman, Muhammad Mujahid, Tanzila Saba, Noor Ayesha, Faten S. Alamri

Clust. Comput., November, 2025

Acute lymphoblastic leukemia cancer diagnosis in children and adults using transforming blood fluorescence microscopy imaging.

Amjad Rehman, Muhammad Mujahid, Tanzila Saba, Faten S. Alamri, Noor Ayesha

PeerJ Comput. Sci., 2025

Novel Feature Extractor Framework in Conjunction with Supervised Three Class-XGBoost Algorithm for Osteosarcoma Detection from Whole Slide Medical Histopathology Images.

Tanzila Saba, Muhammad Mujahid, Amjad Rehman Khan, Shaha T. Al-Otaibi, Noor Ayesha

Comput. Mater. Continua, 2025

MVLA-Net: A Multi-View Lesion Attention Network for Advanced Diagnosis and Grading of Diabetic Retinopathy.

Tariq Mahmood, Tanzila Saba, Faten S. Alamri, Alishba Tahir, Noor Ayesha

Comput. Mater. Continua, 2025

Large Language Model in Healthcare for the Prediction of Genetic Variants from Unstructured Text Medicine Data Using Natural Language Processing.

Noor Ayesha, Muhammad Mujahid, Abeer Rashad Mirdad, Faten S. Alamri, Amjad Rehman Khan

Comput. Mater. Continua, 2025

2024

Early Stage Kidney Chronic Diseases Diagnosis using Feature Fusion and Deep Learning Algorithms.

Tanzila Saba, Muhammad Mujahid, Noor Ayesha, Mahyar Kolivand

Proceedings of the 17th International Conference on Development in eSystem Engineering, 2024

2023

Hybrid machine learning model to predict chronic kidney diseases using handcrafted features for early health rehabilitation.

Amjad Rehman, Tanzila Saba, Haider Ali, Narmine Elhakim, Noor Ayesha

Turkish J. Electr. Eng. Comput. Sci., October, 2023

2021

An Automated Deep Learning Approach to Diagnose Glaucoma using Retinal Fundus Images.

Ayesha Shoukat, Shahzad Akbar, Syed Ale Hassan, Amjad Rehman, Noor Ayesha

Proceedings of the International Conference on Frontiers of Information Technology, 2021