| Consequence assessment of gas pipeline failure caused by external pitting corrosion using an integrated Bayesian belief network and GIS model: Application with Alberta pipeline H Woldesellasse, S Tesfamariam Reliability Engineering & System Safety 240, 109573, 2023 | 21 | 2023 |
| Prediction of lateral spreading displacement using conditional Generative Adversarial Network (cGAN) H Woldesellasse, S Tesfamariam Soil Dynamics and Earthquake Engineering 156, 107214, 2022 | 20 | 2022 |
| Role of analytics within the energy, water and food nexus–An Alfalfa case study H Woldesellasse, R Govindan, T Al-Ansari Computer Aided Chemical Engineering 44, 997-1002, 2018 | 20 | 2018 |
| General corrosion vulnerability assessment using a Bayesian belief network model incorporating experimental corrosion data for X60 pipe steel S Tesfamariam, H Woldesellasse, M Xu, E Asselin Journal of Pipeline Science and Engineering 1 (3), 329-338, 2021 | 19 | 2021 |
| Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network H Woldesellasse, S Tesfamariam Journal of Pipeline Science and Engineering 3 (1), 100091, 2023 | 17 | 2023 |
| Failure assessment of oil and gas transmission pipelines using an integrated Bayesian belief network and GIS model H Woldesellasse, S Tesfamariam International Journal of Pressure Vessels and Piping 205, 104984, 2023 | 13 | 2023 |
| Long-term forecasting of wind speed in the UAE using nonlinear canonical correlation analysis (NLCCA) H Woldesellasse, PR Marpu, TBMJ Ouarda Arabian Journal of Geosciences 13, 1-9, 2020 | 12 | 2020 |
| Risk analysis of onshore oil and gas pipelines: Literature review and bibliometric analysis H Woldesellasse, S Tesfamariam Journal of Infrastructure Intelligence and Resilience, 100052, 2023 | 10 | 2023 |
| Comparison of the performance of a surrogate based Gaussian process, NSGA2 and PSO multi-objective optimization of the operation and fuzzy structural reliability of water … N Balekelayi, H Woldesellasse, S Tesfamariam Water Resources Management 36 (15), 6169-6185, 2022 | 8 | 2022 |
| Satellite based vegetation indices variables for crop water footprint assessment H Woldesellasse, R Govindan, T Al-Ansari Computer Aided Chemical Engineering 46, 1489-1494, 2019 | 8 | 2019 |
| Handling incomplete and missing data in corrosion pit measurement database using imputation methods: Model development using artificial neural network H Woldesellasse, S Tesfamariam Journal of Pipeline Systems Engineering and Practice 12 (3), 04021033, 2021 | 7 | 2021 |
| Risk assessment of gas pipeline using an integrated Bayesian belief network and GIS: Using Bayesian neural networks for external pitting corrosion modelling H Woldesellasse, S Tesfamariam The Canadian Journal of Chemical Engineering 103 (1), 98-109, 2025 | 2 | 2025 |
| Data augmentation using conditional generative adversarial network (cGAN): applications for sewer condition classification and testing using different machine learning techniques H Woldesellasse, S Tesfamariam Journal of Hydroinformatics, jh2024135, 2024 | | 2024 |
| Development of a spatial decision support framework for risk assessment of oil and gas pipelines exposed to external pitting corrosion H Woldesellasse University of British Columbia, 2023 | | 2023 |
| Low-Atmosphere Optical Properties Characterization for Concentrating Solar Technologies Efficiency Assessment in Dusty Hyperarid Regions PR Marpu, HT Woldeselasse, P Armstrong, A Molini AGU Fall Meeting 2019, 2019 | | 2019 |
| Low-Atmosphere Optical Properties Characterization for Concentrating Solar Technologies Efficiency Assessment in Dusty Hyperarid Regions A Molini, PR Marpu, HT Woldeselasse, P Armstrong AGU Fall Meeting Abstracts 2019, GC53F-1187, 2019 | | 2019 |
