Thokozani Shongwe
Orcid: 0000-0002-3011-7600
According to our database1,
Thokozani Shongwe
authored at least 56 papers
between 2011 and 2024.
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Bibliography
2024
Deep Learning-Assisted Energy Prediction Modeling for Energy Harvesting in Wireless Cognitive Radio Devices.
IEEE Access, 2024
Peer-to-Peer Local Energy Market: Opportunities, Barriers, Security, and Implementation Options.
IEEE Access, 2024
2023
Deep Learning Approach to Source Localization of Electromagnetic Waves in the Presence of Various Sources and Noise.
Symmetry, August, 2023
Hybrid Multi-Label Classification Model for Medical Applications Based on Adaptive Synthetic Data and Ensemble Learning.
Sensors, August, 2023
Modeling of Burst Impulse Noise Errors in an In-House M-QAM-Based Power Line Communications Channel Using the Fritchman-Markov Model.
Sensors, August, 2023
J. King Saud Univ. Comput. Inf. Sci., June, 2023
J. Commun., February, 2023
Electromagnetic machine learning for estimation and mitigation of mutual coupling in strongly coupled arrays.
ICT Express, February, 2023
Composition of Hybrid Deep Learning Model and Feature Optimization for Intrusion Detection System.
Sensors, January, 2023
IEEE Access, 2023
Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey.
IEEE Access, 2023
Performance Analysis of ACO/DCO-OFDM Hybrid PLC-VLC Receivers With Blanking Non-Linearity.
IEEE Access, 2023
Development of Series-Parallel and Neural-Network Based Models for Predicting Electrical Conductivity of Polymer Nanocomposite.
IEEE Access, 2023
An XGBoost Machine Learning Technique for RF Energy Harvesting Prediction in IP-enabled IoT Devices.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 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
Multi-Source DoA Estimation of EM Waves Impinging Spherical Antenna Array With Unknown Mutual Coupling Using Relative Signal Pressure Based Multiple Signal Classification Approach.
IEEE Access, 2022
Analysis of the Perfect Nulling Technique in FFT Hybrid PLC-VLC System Based on ACO-OFDM in Impulsive Noise.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022
2021
Mirror activation pattern selection techniques for media-based space-time block coded spatial modulation.
Telecommun. Syst., 2021
Analysis of the Perfect Nulling Technique in ACO-OFDM for DHT Hybrid PLC-VLC System in Impulsive Noise.
J. Commun., 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
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
2020
Low-complexity Detectors for Cyclic Structured Space-time Block Coded Spatial Modulation over a Slow Rayleigh Fading Channel.
J. Commun., 2020
IEEE Access, 2020
IEEE Access, 2020
Performance Comparison of FFT and DHT Hybrid PLC-VLC Systems Based on DCO-OFDM in Impulsive Noise.
Proceedings of the 30th International Conference Radioelektronika, 2020
A Comparison of FFT and DHT Hybrid PLC-VLC Systems Based on ACO-OFDM in Impulsive Noise.
Proceedings of the 30th International Conference Radioelektronika, 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
Proceedings of the 12th International Symposium on Communication Systems, 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
Arduino Yun Assisted Photovoltaic-Powered Hydroponics Systems for Rural Communities in Ghana.
Proceedings of the 2019 IEEE AFRICON, Accra, Ghana, September 25-27, 2019, 2019
2018
Proceedings of the IEEE International Symposium on Power Line Communications and its Applications, 2018
Proceedings of the IEEE International Symposium on Power Line Communications and its Applications, 2018
Proceedings of the 11th International Symposium on Communication Systems, 2018
Proceedings of the 11th International Symposium on Communication Systems, 2018
BPSK-OFDM versus QFSK-OFDM in Combating the Effects of Narrowband Interference and Impulsive Noise in Power Line Communication.
Proceedings of the 11th International Symposium on Communication Systems, 2018
2017
PSK to CSK mapping for hybrid systems involving the radio frequency and the visible spectrum.
Telecommun. Syst., 2017
IEEE Commun. Lett., 2017
IEEE Commun. Lett., 2017
Impedance analysis of a power line distribution network using short-time Fourier Transform.
Proceedings of the IEEE International Symposium on Power Line Communications and its Applications, 2017
Proceedings of the IEEE International Symposium on Power Line Communications and its Applications, 2017
Proceedings of the IEEE AFRICON 2017, Cape Town, South Africa, September 18-20, 2017, 2017
2016
Application of symbol avoidance in Reed-Solomon codes to improve their synchronization.
Telecommun. Syst., 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
Proceedings of the International Symposium on Power Line Communications and its Applications, 2016
Proposed machine learning system to predict and estimate impulse noise in OFDM communication system.
Proceedings of the IECON 2016, 2016
2015
Proceedings of the IEEE International Symposium on Power Line Communications and Its Applications, 2015
Proceedings of the 2015 IEEE Global Communications Conference, 2015
2013
Proceedings of the AFRICON 2013, Pointe aux Piments, Mauritius, September 9-12, 2013, 2013
2012
2011
The effect of hamming distances on permutation codes for multiuser communication in the power line communications channel.
Proceedings of the AFRICON 2011, 2011