Ali N. Hasan
Orcid: 0000-0002-1734-4032
According to our database1,
Ali N. Hasan
authored at least 23 papers
between 2013 and 2023.
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Bibliography
2023
J. Commun., February, 2023
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.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2023
2022
75MW AC PV Module Field Anomaly Detection Using Drone-Based IR Orthogonal Images With Res-CNN3 Detector.
IEEE Access, 2022
2021
Mirror activation pattern selection techniques for media-based space-time block coded spatial modulation.
Telecommun. Syst., 2021
An Average Voltage Approach to Control Energy Storage Device and Tap Changing Transformers Under High Distributed Generation.
IEEE Access, 2021
A Fault Level-Based System to Control Voltage and Enhance Power Factor Through an On-Load Tap Changer and Distributed Generators.
IEEE Access, 2021
Improving voltage harmonics forecasting at a wind farm using deep learning techniques.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 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.
Proceedings of the IECON 2021, 2021
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021
2020
The Use of Multiclass Support Vector Machines and Probabilistic Neural Networks for Signal Classification and Noise Detection in PLC/OFDM Channels.
Proceedings of the 30th International Conference Radioelektronika, 2020
A Study Towards Implementing Various Artificial Neural Networks for Signals Classification and Noise Detection in OFDM/PLC Channels.
Proceedings of the 12th International Symposium on Communication Systems, 2020
2019
Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks.
J. Intell. Fuzzy Syst., 2019
Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms.
IEEE Access, 2019
2018
Exploring the non-linear relationship between various categories of Crimes and GDP: A case study using Generalized Additive Models.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018
2016
Impulse Noise Detection in OFDM Communication System Using Machine Learning Ensemble Algorithms.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
Proposed machine learning system to predict and estimate impulse noise in OFDM communication system.
Proceedings of the IECON 2016, 2016
Evaluating the performance of single classifiers against multiclassifiers in monitoring underground dam levels and energy consumption for a deep gold mine pump station.
Proceedings of the IECON 2016, 2016
2015
Improving single classifiers prediction accuracy for underground water pump station in a gold mine using ensemble techniques.
Proceedings of the IEEE EUROCON 2015, 2015
2014
Moving towards accurate monitoring and prediction of gold mine underground dam levels.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Underground water dam levels and energy consumption prediction using computational intelligence techniques.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2014
2013
Predicting mine dam levels and energy consumption using artificial intelligence methods.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013