2 citations · 2 across the 5 of their papers we have counts for
7 papers
Performance Benchmarking and Optimisation of Clustering Algorithms for Local and Non-Local Similarity Measure in Medical Image Analysis
Sisipho Hamlomo, Marcellin Atemkeng
Medical imaging generates high-resolution images posing significant storage, transmission, and computational challenges. While low-rank matrix approximation (LoRMA) techniques offe…
Hierarchical Spatio-Channel Clustering for Efficient Model Compression in Medical Image Analysis
Sisipho Hamlomo, Marcellin Atemkeng, Habte Tadesse Likassa +5
Convolutional neural networks (CNNs) have become increasingly difficult to deploy in resource-constrained environments due to their large memory and computational requirements. Alt…
Clustering-Based Low-Rank Matrix Approximation for Medical Image Compression
Sisipho Hamlomo, Marcellin Atemkeng
Medical images are inherently high-resolution and contain locally varying structures crucial for diagnosis. Efficient compression must preserve diagnostic fidelity while minimizing…
Ethics of Software Programming with Generative AI: Is Programming without Generative AI always radical?
Marcellin Atemkeng, Sisipho Hamlomo, Brian Welman +3
This paper provides a comprehensive analysis of Generative AI (GenAI) potential to revolutionise software coding through increased efficiency and reduced time span for writing code…
A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging
Sisipho Hamlomo, Marcellin Atemkeng, Yusuf Brima +2
The large volume and complexity of medical imaging datasets are bottlenecks for storage, transmission, and processing. To tackle these challenges, the application of low-rank matri…
Wine feature importance and quality prediction: A comparative study of machine learning algorithms with unbalanced data
Siphendulwe Zaza, Marcellin Atemkeng, Sisipho Hamlomo
Classifying wine as "good" is a challenging task due to the absence of a clear criterion. Nevertheless, an accurate prediction of wine quality can be valuable in the certification…
Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants
Marcellin Atemkeng, Victor Osanyindoro, Rockefeller Rockefeller +5
One of the critical factors that drive the economic development of a country and guarantee the sustainability of its industries is the constant availability of electricity. This is…