| Crack detection in concrete structures using deep learning VP Golding, Z Gharineiat, HS Munawar, F Ullah Sustainability 14 (13), 8117, 2022 | 81 | 2022 |
| Review of automatic processing of topography and surface feature identification LiDAR data using machine learning techniques Z Gharineiat, F Tarsha Kurdi, G Campbell Remote Sensing 14 (19), 4685, 2022 | 42 | 2022 |
| Random Forest Machine Learning Technique for Automatic Vegetation Detection and Modelling in LiDAR Data F Tarsha Kurdi, W Amakhchan, Z Gharineiat International Journal of Environmental Science and Natural Resources 28 (2 …, 2021 | 30 | 2021 |
| Assessment and prediction of sea level trend in the South Pacific Region N Raj, Z Gharineiat, AAM Ahmed, Y Stepanyants Remote Sensing 14 (4), 986, 2022 | 22 | 2022 |
| Automatic filtering of LiDAR building point cloud in case of trees associated to building roof F Tarsha Kurdi, Z Gharineiat, G Campbell, M Awrangjeb, EK Dey Remote sensing 14 (2), 430, 2022 | 22 | 2022 |
| Description and assessment of regional sea-level trends and variability from altimetry and tide gauges at the northern Australian coast Z Gharineiat, X Deng Advances in Space Research 61 (10), 2540-2554, 2018 | 20 | 2018 |
| Comparative approach of unmanned aerial vehicle restrictions in controlled airspaces SJ McTegg, F Tarsha Kurdi, S Simmons, Z Gharineiat Remote Sensing 14 (4), 822, 2022 | 17 | 2022 |
| A framework for burnt area mapping and evacuation problem using aerial imagery analysis HS Munawar, Z Gharineiat, J Akram, S Imran Khan Fire 5 (4), 122, 2022 | 16* | 2022 |
| 3D modeling and visualization of single tree Lidar point cloud using matrixial form FT Kurdi, E Lewandowicz, J Shan, Z Gharineiat IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 15 | 2024 |
| Application of the multi-adaptive regression splines to integrate sea level data from altimetry and tide gauges for monitoring extreme sea level events Z Gharineiat, X Deng Marine Geodesy 38 (3), 261-276, 2015 | 15 | 2015 |
| CNN based image classification of malicious UAVs J Brown, Z Gharineiat, N Raj Applied Sciences 13 (1), 240, 2022 | 14 | 2022 |
| 3D LoD2 and LoD3 modeling of buildings with ornamental towers and turrets based on LiDAR data E Lewandowicz, F Tarsha Kurdi, Z Gharineiat Remote Sensing 14 (19), 4687, 2022 | 14 | 2022 |
| Efficiency of terrestrial laser scanning in survey works: Assessment, modelling, and monitoring FT Kurdi, P Reed, Z Gharineiat, M Awrangjeb arXiv preprint arXiv:2312.03254, 2023 | 12 | 2023 |
| Evaluation of multivariate adaptive regression splines and artificial neural network for prediction of mean sea level trend around northern australian coastlines N Raj, Z Gharineiat Mathematics 9 (21), 2696, 2021 | 11 | 2021 |
| Using the geographic information system (GIS) in the sustainable transportation Z Gharineiat, M Khalfan Int. J. Soc. Behav. Educ. Econ. Bus. Ind. Eng 5, 1425-1431, 2011 | 10 | 2011 |
| Contribution of geometric feature analysis for deep learning classification algorithms of urban LiDAR data F Tarsha Kurdi, W Amakhchan, Z Gharineiat, H Boulaassal, O El Kharki Sensors 23 (17), 7360, 2023 | 9 | 2023 |
| Full series algorithm of automatic building extraction and modelling from LiDAR data FT Kurdi, Z Gharineiat, G Campbell, EK Dey, M Awrangjeb 2021 Digital Image Computing: Techniques and Applications (DICTA), 01-08, 2021 | 8 | 2021 |
| Torsional behavior of GFRP-reinforced concrete pontoon decks with and without an edge cutout X Yang, O Alajarmeh, A Manalo, B Benmokrane, Z Gharineiat, ... Marine Structures 88, 103345, 2023 | 7 | 2023 |
| Observing and modelling the high water level from satellite radar altimetry during tropical cyclones X Deng, Z Gharineiat, OB Andersen, MG Stewart IAG 150 Years, 491-500, 2016 | 7 | 2016 |
| Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data F Tarsha Kurdi, E Lewandowicz, Z Gharineiat, J Shan Remote Sensing 16 (12), 2220, 2024 | 6* | 2024 |
Fayez Tarsha KurdiAdjunct Lecturer and Research Assistant, University of Southern QueenslandΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα usq.edu.au
