| COVID-19 control by computer vision approaches: A survey A Ulhaq, J Born, A Khan, DPS Gomes, S Chakraborty, M Paul Ieee Access 8, 179437-179456, 2020 | 108 | 2020 |
| Computer vision for COVID-19 control: a survey A Ulhaq, A Khan, D Gomes, M Paul arXiv preprint arXiv:2004.09420, 2020 | 94 | 2020 |
| High-sensitivity vegetation high-impedance fault detection based on signal's high-frequency contents DPS Gomes, C Ozansoy, A Ulhaq IEEE Transactions on Power Delivery 33 (3), 1398-1407, 2018 | 92 | 2018 |
| High-impedance faults in power distribution systems: A narrative of the field’s developments DPS Gomes, C Ozansoy ISA transactions 118, 15-34, 2021 | 22 | 2021 |
| Vegetation high-impedance faults’ high-frequency signatures via sparse coding DPS Gomes, C Ozansoy, A Ulhaq IEEE Transactions on Instrumentation and Measurement 69 (7), 5233-5242, 2019 | 22 | 2019 |
| The effectiveness of different sampling rates in vegetation high-impedance fault classification DPS Gomes, C Ozansoy, A Ulhaq, JCMV Júnior Electric Power Systems Research 174, 105872, 2019 | 21 | 2019 |
| Optimal monitoring of voltage sags through simultaneous analysis of short‐circuits in distribution systems TR Kempner, M Oleskovicz, DPS Gomes IET Generation, Transmission & Distribution 11 (7), 1801-1808, 2017 | 18 | 2017 |
| Volatility diagnosis in phase-to-phase fault detection for branch across wire faults C Ozansoy, DPS Gomes IEEE Transactions on Power Delivery 36 (1), 19-29, 2020 | 9 | 2020 |
| Computer vision for covid-19 control: A survey (2020) A Ulhaq, A Khan, D Gomes, M Paul arXiv preprint arXiv:2004.09420, 2004 | 9 | 2004 |
| Computer vision for COVID-19 control: A survey. arXiv 2020 A Ulhaq, A Khan, D Gomes, M Paul arXiv preprint arXiv:2004.09420, 0 | 9 | |
| Computer vision for COVID-19 control: A survey. arXiv A Ulhaq, A Khan, D Gomes, M Paul arXiv preprint arXiv:2004.09420, 2020 | 7 | 2020 |
| Deep mining generation of lung cancer malignancy models from chest X-ray images M Horry, S Chakraborty, B Pradhan, M Paul, D Gomes, A Ul-Haq, A Alamri Sensors 21 (19), 6655, 2021 | 6 | 2021 |
| Leaf segmentation and counting with deep learning: on model certainty, test-time augmentation, trade-offs DPS Gomes, L Zheng arXiv preprint arXiv:2012.11486, 2020 | 6 | 2020 |
| Potential features of icu admission in x-ray images of covid-19 patients DPS Gomes, A Ulhaq, M Paul, MJ Horry, S Chakraborty, M Saha, ... arXiv preprint arXiv:2009.12597, 2020 | 6 | 2020 |
| Recent Data Augmentation Strategies for Deep Learning in Plant Phenotyping and Their Significance DPS Gomes, L Zheng engrXiv, 2020 | 6 | 2020 |
| High-frequency spectral analysis of high impedance vegetation faults on a three-wire system DPS Gomes, C Ozansoy, A Ulhaq 2017 Australasian Universities Power Engineering Conference (AUPEC), 1-5, 2017 | 6 | 2017 |
| Improved abdominal multi-organ segmentation via 3D boundary-constrained deep neural networks S Irshad, DPS Gomes, ST Kim IEEE Access 11, 35097-35110, 2023 | 5 | 2023 |
| A Generalized Coverage Matrix Method for Power Quality Monitor Allocation Utilizing Genetic Algorithm DPS Gomes, M Oleskovicz, TR Kempner, JRL Filho | 5 | 2016 |
| High impedance fault location methods: review and harmonic selection-based analysis GN Lopes, TS Menezes, DPS Gomes, JCM Vieira IEEE Open Access Journal of Power and Energy, 2023 | 4 | 2023 |
| VeHIF: an accessible vegetation high-impedance fault data set format DPS Gomes, C Ozansoy IEEE Transactions on Power Delivery 37 (6), 5473-5475, 2022 | 4 | 2022 |
Anwaar Ulhaq, PhDSenior Lecturer (AI) at Central Queensland University, Sydney Campus, AustraliaVerified email at cqu.edu.au
