Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation

A Musa, M Ibrahim Adamu, HA Kakudi… - … Conference on Medical …, 2024 - Springer
Medical image analysis, empowered by artificial intelligence (AI), plays a crucial role in
modern healthcare diagnostics. However, the effectiveness of machine learning models …

Overcoming the challenges of multi-modal medical image sharing: A novel data distillation strategy via contrastive learning

T Du, W Li, Z Wang, F Yang, P Teng, X Yi, H Chen… - Neurocomputing, 2025 - Elsevier
Multi-modal medical images serve as a critical basis for disease diagnosis. However,
sharing multi-modal medical data between hospitals is a significant challenge due to privacy …

Lightweight Deep Learning Models For Edge Devices—A Survey

A Musa, HA Kakudi, M Hassan… - … Journal of Computer …, 2025 - cspub-ijcisim.org
As edge computing gains attention across various domains, the demand for lightweight
deep learning models capable of running efffciently on resource-constrained edge devices …

A Deep Convolutional Neural Network-based Model for Aspect and Polarity Classification in Hausa Movie Reviews

U Ibrahim, AY Zandam, FM Adam, A Musa - arXiv preprint arXiv …, 2024 - arxiv.org
Aspect-based Sentiment Analysis (ABSA) is crucial for understanding sentiment nuances in
text, especially across diverse languages and cultures. This paper introduces a novel Deep …

A Lightweight CNN-Based Pothole Detection Model for Embedded Systems Using Knowledge Distillation

A Musa, M Hassan, M Hamada… - New Trends in …, 2022 - ebooks.iospress.nl
Recent breakthroughs in computer vision have led to the invention of several intelligent
systems in different sectors. In transportation, this advancement led to the possibility of …

[PDF][PDF] A Lightweight CNN Based Pothole Detection Model for Embedded Systems Using Knowledge Distillation

MH Aminu MUSAa, M HAMADA, H ADAMU - researchgate.net
Recent advances in computer vision have led to the invention of several intelligent systems
in different sectors. In transportation, this advancement led to the possibility of proposing …