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Muhammad Aslam

4 papers indexed

openalexScientific Reports2026-07-23

A high-throughput 3D conjunctival spheroid model for standardized in vitro testing

Zhi Liang, Muhammad Aslam, Wahaj Ul Haq, Martina Wiesler, SU NAZ MUTLU, Philipp Stahlhut, et al.

New Approach Methodologies (NAMs) based on human cells are increasingly needed to improve the physiological relevance, reproducibility, and ethical acceptability of preclinical ocular surface research. We developed a reproducible and scalable three-dimensional in vitro conjunctiv…

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crossrefElectronics2025-10-29Cited by 8

A Comprehensive Review of DDoS Detection and Mitigation in SDN Environments: Machine Learning, Deep Learning, and Federated Learning Perspectives

Sidra Batool, Muhammad Aslam, Edore Akpokodje, Syeda Fizzah Jilani

Software-defined networking (SDN) has reformed the traditional approach to managing and configuring networks by isolating the data plane from control plane. This isolation helps enable centralized control over network resources, enhanced programmability, and the ability to dynami…

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crossrefSymmetry2025-01-25Cited by 22

Machine Learning-Based Stacking Ensemble Model for Prediction of Heart Disease with Explainable AI and K-Fold Cross-Validation: A Symmetric Approach

Sara Qamar Sultan, Nadeem Javaid, Nabil Alrajeh, Muhammad Aslam

One of the most complex and prevalent diseases is heart disease (HD). It is among the main causes of death around the globe. With changes in lifestyles and the environment, its prevalence is rising rapidly. The prediction of the disease in its early stages is crucial, as delays i…

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crossrefApplied Sciences2024-07-18Cited by 1

Enhanced Learning Enriched Features Mechanism Using Deep Convolutional Neural Network for Image Denoising and Super-Resolution

Iqra Waseem, Muhammad Habib, Eid Rehman, Ruqia Bibi, Rehan Mehmood Yousaf, Muhammad Aslam, et al.

Image denoising and super-resolution play vital roles in imaging systems, greatly reducing the preprocessing cost of many AI techniques for object detection, segmentation, and tracking. Various advancements have been accomplished in this field, but progress is still needed. In th…

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