Predicting mine dam levels and energy consumption using artificial intelligence methods. - Ali N. Hasan; Bhekisipho Twala; Tshilidzi Marwala (CIES, 2013)

Underground water dam levels and energy consumption prediction using computational intelligence techniques. - Ali N. Hasan; Bhekisipho Twala; Tshilidzi Marwala (CIVEMSA, 2014)

Moving towards accurate monitoring and prediction of gold mine underground dam levels. - Ali N. Hasan; Bhekisipho Twala; Tshilidzi Marwala (IJCNN, 2014)

Improving single classifiers prediction accuracy for underground water pump station in a gold mine using ensemble techniques. - Ali N. Hasan; Bhekisipho Twala (EUROCON, 2015)

Evaluating the performance of single classifiers against multiclassifiers in monitoring underground dam levels and energy consumption for a deep gold mine pump station. - Ali N. Hasan (IECON, 2016)

Proposed machine learning system to predict and estimate impulse noise in OFDM communication system. - Ali N. Hasan; Thokozani Shongwe (IECON, 2016)

Impulse Noise Detection in OFDM Communication System Using Machine Learning Ensemble Algorithms. - Ali N. Hasan; Thokozani Shongwe (SOCO-CISIS-ICEUTE, 2016)

Pedestrian Detection Using R-CNN Object Detector. - Katleho L. Masita; Ali N. Hasan; Satyakama Paul (LA-CCI, 2018)

Exploring the non-linear relationship between various categories of Crimes and GDP: A case study using Generalized Additive Models. - Satyakama Paul; Ali N. Hasan; Mario Bruno (LA-CCI, 2018)

Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms. - Sibonelo Motepe; Ali N. Hasan; Riaan Stopforth (IEEE Access, 2019)

Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks. - Sibonelo Motepe; Ali N. Hasan; Bhekisipho Twala; Riaan Stopforth (J. Intell. Fuzzy Syst., 2019)

A Study Towards Implementing Various Artificial Neural Networks for Signals Classification and Noise Detection in OFDM/PLC Channels. - Dalal Baroud; Ali N. Hasan; Thokozani Shongwe (CSNDSP, 2020)

The Use of Multiclass Support Vector Machines and Probabilistic Neural Networks for Signal Classification and Noise Detection in PLC/OFDM Channels. - Dalal Baroud; Ali N. Hasan; Thokozani Shongwe (RADIOELEKTRONIKA, 2020)

Quality Monitoring of Abu Dhabi Drinking Water Using Machine Learning Classifiers. - Ali N. Hasan; Khawla M. Alhammadi (DeSE, 2021)

Refining the Efficiency of R-CNN in Pedestrian Detection. - Katleho L. Masita; Ali N. Hasan; Thokozani Shongwe (ICICT (3), 2021)

A Hybrid Model of Modified Robust Linear Regression Optimized by Ant Colony Optimization for Photovoltaic System Efficiency Improvement Under Sudden Change of Environmental Conditions. - Mpho Sam Nkambule; Ali N. Hasan; Ahmed Ali 007 (IECON, 2021)

Improving voltage harmonics forecasting at a wind farm using deep learning techniques. - E. M. Kuyunani; Ali N. Hasan; Thokozani Shongwe (ISIE, 2021)

A Fault Level-Based System to Control Voltage and Enhance Power Factor Through an On-Load Tap Changer and Distributed Generators. - Ndamulelo Tshivhase; Ali N. Hasan; Thokozani Shongwe (IEEE Access, 2021)

An Average Voltage Approach to Control Energy Storage Device and Tap Changing Transformers Under High Distributed Generation. - Ndamulelo Tshivhase; Ali N. Hasan; Thokozani Shongwe (IEEE Access, 2021)

Mirror activation pattern selection techniques for media-based space-time block coded spatial modulation. - Babatunde S. Adejumobi; Thokozani Shongwe; Ali N. Hasan (Telecommun. Syst., 2021)

75MW AC PV Module Field Anomaly Detection Using Drone-Based IR Orthogonal Images With Res-CNN3 Detector. - Katleho L. Masita; Ali N. Hasan; Thokozani Shongwe (IEEE Access, 2022)

The Classification and Detection of Cyanosis Images on Lightly and Darkly Pigmented Individual Human Skins Applying Simple CNN and Fine-Tuned VGG16 Models in TensorFlow's Keras API. - Lukoki Mpova; Thokozani C. Shongwe; Ali N. Hasan (CIVEMSA, 2023)

Improved Subcarrier Selection Technique for Power Line Communications. - Babatunde S. Adejumobi; Thokozani Shongwe; Ali N. Hasan (J. Commun., 2023)

Advanced Control Strategies for Photovoltaic Power Quality and Maximum Power Point Tracking Optimization. - Mpho Sam Nkambule; Ali N. Hasan; Thokozani Shongwe (IEEE Access, 2024)

Deep Learning in Defect Detection of Wind Turbine Blades: A Review. - Katleho L. Masita; Ali N. Hasan; Thokozani Shongwe; Hasan Abu Hilal (IEEE Access, 2025)

Analyzing the Economic Viability of Microgrid Solutions in the South African Market. - Mpho Sam Nkambule; Ali N. Hasan; Thokozani Shongwe (IEEE Access, 2025)