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Haile Woldesellasse
Haile Woldesellasse
School of Engineering, University of British Columbia
Verified email at ubc.ca
Title
Cited by
Cited by
Year
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
172018
Prediction of lateral spreading displacement using conditional Generative Adversarial Network (cGAN)
H Woldesellasse, S Tesfamariam
Soil Dynamics and Earthquake Engineering 156, 107214, 2022
152022
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
132021
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
92023
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
92020
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
72022
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
62019
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
52023
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
42021
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
32023
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
12023
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
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