| Smart sensing of loads in an extra low voltage DC pico-grid using machine learning techniques YT Quek, WL Woo, T Logenthiran IEEE Sensors Journal 17 (23), 7775-7783, 2017 | 36 | 2017 |
| Load disaggregation using one-directional convolutional stacked long short-term memory recurrent neural network YT Quek, WL Woo, T Logenthiran IEEE Systems Journal 14 (1), 1395-1404, 2019 | 32 | 2019 |
| IoT Load Classification and Anomaly Warning in ELV DC Picogrids Using Hierarchical Extended -Nearest Neighbors YT Quek, WL Woo, L Thillainathan IEEE Internet of Things Journal 7 (2), 863-873, 2019 | 22 | 2019 |
| Rail track condition monitoring: A review on deep learning approaches A Ji, WL Woo, EWL Wong, YT Quek Intelligence & Robotics 1 (2), 151-175, 2021 | 16 | 2021 |
| DC equipment identification using K-means clustering and kNN classification techniques YT Quek, WL Woo, T Logenthiran 2016 IEEE Region 10 Conference (TENCON), 777-780, 2016 | 16 | 2016 |
| A Naïve Bayes classification approach for short-term forecast of a photovoltaic system YT Quek, WL Woo, T Logenthiran Proceedings of the Sustainable Energy and Environmental Sciences, Singapore, 6-7, 2017 | 12 | 2017 |
| DC appliance classification and identification using k-Nearest Neighbours technique on features extracted within the 1st second of current waveforms YT Quek, WL Woo, T Logenthrian 2015 IEEE 15th International Conference on Environment and Electrical …, 2015 | 12 | 2015 |
| Deep Q‐network implementation for simulated autonomous vehicle control YT Quek, LL Koh, NT Koh, WA Tso, WL Woo IET Intelligent Transport Systems 15 (7), 875-885, 2021 | 7 | 2021 |
| A low cost master and slave distributed intelligent meter for non-intrusive load classification and anomaly warning YT Quek, WL Woo, T Logenthiran 2018 IEEE International Instrumentation and Measurement Technology …, 2018 | 7 | 2018 |
| Implementation of an IoT-based DC nanogrid in an offshore fish farm YT Quek 2020 IEEE REGION 10 CONFERENCE (TENCON), 1147-1152, 2020 | 6 | 2020 |
| Anomaly warning and fault detection in DC pico-grid with enhanced k-nearest neighbours technique YT Quek, WL Woo, T Logenthiran 2018 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 728-733, 2018 | 5 | 2018 |
| A multilevel threshold detection method for single-sensor multiple DC appliance states sensing YT Quek, WL Woo, T Logenthiran 2016 IEEE International Conference on Power System Technology (POWERCON), 1-6, 2016 | 3 | 2016 |
| The Performance Analysis of a Three-Phase Grid-Tied Photovoltaic System in a Tropical Area QY Thee GSTF Journal of Engineering Technology (JET) 2 (4), 13, 2014 | 3 | 2014 |
| Detection and Classification System for Rail Surface Defects Based on Deep Learning A Ji, YT Quek, E Wong, WL Woo IRC-SET 2021: Proceedings of the 7th IRC Conference on Science, Engineering …, 2022 | 2 | 2022 |
| Experimental investigations of a convolutional neural network model for detecting railway track anomalies A Ji, QY Thee, WL Woo, E Wong IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society …, 2023 | 1 | 2023 |
| Computational intelligence in extra low voltage direct currrent pico-grids YT Quek Newcastle University, 2019 | 1 | 2019 |
| A Very Short-Term Energy Forecasting Technique for Small Scale Photovoltaic Systems using k-Nearest Neighbour Algorithm. YT Quek, WL Woo, T Logenthiran GSTF Journal of Engineering Technology 4 (3), 2017 | 1 | 2017 |
| Installation of a Three-Phase Grid-Tied Photovoltaic System in a Tropical Area and its Performance Ratio QY Thee International Conference on Sustainable Energy & Environmental Sciences …, 2014 | 1 | 2014 |
| Identification of Rail Surface Defects Based on One-Shot Learning A Ji, YT Quek, E Wong, WL Woo International Conference on Intelligent Transportation Engineering, 831-840, 2021 | | 2021 |
| Branch Circuit Load Monitoring using Naïve Bayesian Classifier YT Quek 2021 IEEE 12th Energy Conversion Congress & Exposition-Asia (ECCE-Asia …, 2021 | | 2021 |
