Ali N. Hasan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Machine Learning

Probabilistic Neural Networks

Noise Detection

Generalized Additive Models

Top Venues

Publications

Mpho Sam Nkambule, Ali N. Hasan, Thokozani Shongwe
Advanced Control Strategies for Photovoltaic Power Quality and Maximum Power Point Tracking Optimization. IEEE Access 12 (2024)
Lukoki Mpova, Thokozani C. Shongwe, Ali N. Hasan
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. CIVEMSA (2023)
Babatunde S. Adejumobi, Thokozani Shongwe, Ali N. Hasan
Improved Subcarrier Selection Technique for Power Line Communications. J. Commun. 18 (2) (2023)
Katleho L. Masita, Ali N. Hasan, Thokozani Shongwe
75MW AC PV Module Field Anomaly Detection Using Drone-Based IR Orthogonal Images With Res-CNN3 Detector. IEEE Access 10 (2022)
Ali N. Hasan, Khawla M. Alhammadi
Quality Monitoring of Abu Dhabi Drinking Water Using Machine Learning Classifiers. DeSE (2021)
Ndamulelo Tshivhase, Ali N. Hasan, Thokozani Shongwe
A Fault Level-Based System to Control Voltage and Enhance Power Factor Through an On-Load Tap Changer and Distributed Generators. IEEE Access 9 (2021)
Babatunde S. Adejumobi, Thokozani Shongwe, Ali N. Hasan
Mirror activation pattern selection techniques for media-based space-time block coded spatial modulation. Telecommun. Syst. 78 (3) (2021)
Mpho Sam Nkambule, Ali N. Hasan, Ahmed Ali
A Hybrid Model of Modified Robust Linear Regression Optimized by Ant Colony Optimization for Photovoltaic System Efficiency Improvement Under Sudden Change of Environmental Conditions. IECON (2021)
Ndamulelo Tshivhase, Ali N. Hasan, Thokozani Shongwe
An Average Voltage Approach to Control Energy Storage Device and Tap Changing Transformers Under High Distributed Generation. IEEE Access 9 (2021)
Katleho L. Masita, Ali N. Hasan, Thokozani Shongwe
Refining the Efficiency of R-CNN in Pedestrian Detection. ICICT (3) (2021)
E. M. Kuyunani, Ali N. Hasan, T. Shongwe
Improving voltage harmonics forecasting at a wind farm using deep learning techniques. ISIE (2021)
Dalal Baroud, Ali N. Hasan, Thokozani Shongwe
The Use of Multiclass Support Vector Machines and Probabilistic Neural Networks for Signal Classification and Noise Detection in PLC/OFDM Channels. RADIOELEKTRONIKA (2020)
Dalal Baroud, Ali N. Hasan, Thokozani Shongwe
A Study Towards Implementing Various Artificial Neural Networks for Signals Classification and Noise Detection in OFDM/PLC Channels. CSNDSP (2020)
Sibonelo Motepe, Ali N. Hasan, Riaan Stopforth
Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms. IEEE Access 7 (2019)
Sibonelo Motepe, Ali N. Hasan, Bhekisipho Twala, Riaan Stopforth
Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks. J. Intell. Fuzzy Syst. 37 (6) (2019)
Satyakama Paul, Ali N. Hasan, Mario Bruno
Exploring the non-linear relationship between various categories of Crimes and GDP: A case study using Generalized Additive Models. LA-CCI (2018)
Katleho L. Masita, Ali N. Hasan, Satyakama Paul
Pedestrian Detection Using R-CNN Object Detector. LA-CCI (2018)
Ali N. Hasan
Evaluating the performance of single classifiers against multiclassifiers in monitoring underground dam levels and energy consumption for a deep gold mine pump station. IECON (2016)
Ali N. Hasan, Thokozani Shongwe
Proposed machine learning system to predict and estimate impulse noise in OFDM communication system. IECON (2016)
Ali N. Hasan, Thokozani Shongwe
Impulse Noise Detection in OFDM Communication System Using Machine Learning Ensemble Algorithms. SOCO-CISIS-ICEUTE (2016)
Ali N. Hasan, Bhekisipho Twala
Improving single classifiers prediction accuracy for underground water pump station in a gold mine using ensemble techniques. EUROCON (2015)
Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala
Moving towards accurate monitoring and prediction of gold mine underground dam levels. IJCNN (2014)
Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala
Underground water dam levels and energy consumption prediction using computational intelligence techniques. CIVEMSA (2014)
Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala
Predicting mine dam levels and energy consumption using artificial intelligence methods. CIES (2013)