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Balekelayi  Ngandu
Balekelayi Ngandu
Other namesBalek Ngandu
Assistant Professor Faculty of Engineering, University of Moncton
Verified email at umoncton.ca
Title
Cited by
Cited by
Year
Consequence-based framework for buried infrastructure systems: A Bayesian belief network model
G Kabir, NBC Balek, S Tesfamariam
Reliability engineering & system safety 180, 290-301, 2018
652018
Sewer structural condition prediction integrating Bayesian model averaging with logistic regression
G Kabir, NBC Balek, S Tesfamariam
Journal of Performance of Constructed Facilities 32 (3), 04018019, 2018
462018
Statistical inference of sewer pipe deterioration using Bayesian geoadditive regression model
N Balekelayi, S Tesfamariam
Journal of Infrastructure Systems 25 (3), 04019021, 2019
372019
External corrosion pitting depth prediction using Bayesian spectral analysis on bare oil and gas pipelines
N Balekelayi, S Tesfamariam
International Journal of Pressure Vessels and Piping 188, 104224, 2020
212020
Graph-theoretic surrogate measure to analyze reliability of water distribution system using Bayesian belief network–based data fusion technique
N Balekelayi, S Tesfamariam
Journal of Water Resources Planning and Management 145 (8), 04019028, 2019
202019
Optimization techniques used in design and operations of water distribution networks: a review and comparative study
N Balekelayi, S Tesfamariam
Sustainable and Resilient Infrastructure 2 (4), 153-168, 2017
202017
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
Geoadditive Bayesian regression models for water mains failure rate prediction
N Balekelayi, S Tesfamariam
42019
Risk-Based Hoop Stress Factors for Pressure Design
R Adianto, M Nessim, B Ngandu
International Pipeline Conference 86564, V001T01A009, 2022
32022
Optimization of water distribution system operation with multiple tanks and pumps: Application for Asmara, Eritrea’s water supply system
N Balekelayi, KN Zeraebruk, M Teklemariam, S Tesfamariam
Journal of Pipeline Systems Engineering and Practice 12 (4), 04021037, 2021
32021
Operational risk-based decision making for wastewater pipe management
N Balekelayi, S Tesfamariam
Journal of Infrastructure Systems 27 (1), 04020042, 2021
32021
Geoadditive quantile regression model for sewer pipes deterioration using boosting optimization algorithm
N Balekelayi, S Tesfamariam
Sustainability 12 (20), 8733, 2020
22020
Advanced deterioration models for wastewater inspection prioritization
N Balekelayi
University of British Columbia, 2019
22019
Operational optimisation of water distribution networks using hybrid algorithms
B Ngandu
MSc Thesis, UNESCO-IHE, 2010
22010
Bayesian geoadditive water pipe failure forecasting model by optimizingthe updating period
N Balekelayi, S Tesfamariam
Journal of Hydroinformatics 25 (1), 1-19, 2023
12023
Closure to “Graph-Theoretic Surrogate Measure to Analyze Reliability of Water Distribution System Using Bayesian Belief Network–Based Data Fusion Technique” by Ngandu …
N Balekelayi
Journal of Water Resources Planning and Management 146 (8), 07020002, 2020
12020
Modelling seasonally flooded wetlands in the semi-arid Sahelian Zone
SS Zahera, G Di Baldassarre, CN Balekelay
Nile Basin Water Science and Engineering Journal 4 (2), 83-93, 2011
12011
One/Two-dimensional numerical assessment of the hydrodynamics of the Congo River in the Pool malebo
SS Zahera, G Di Baldassare, CN Balekelayi
Les annales de la Faculte polytechnique de Kinshasa, 2011
12011
corrected Proof
N Balekelayi, S Tesfamariam
2022
Time Dependent Reliability Analysis for Oil and Gas Pipelines: A Bayesian Spectral Analysis-Based Deterioration Model
N Balekelayi, S Tesfamariam
International Pipeline Conference 84454, V002T07A006, 2020
2020
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