Ensemble intelligent systems for predicting water network condition index

T Dawood, E Elwakil, HM Novoa… - Sustainable Cities and …, 2021 - Elsevier
Aging infrastructure and funding problems continue to plague water supply networks
worldwide. The failure risk of water mains is posing a considerable threat to drinking water …

Pressure data-driven model for failure prediction of PVC pipelines

T Dawood, E Elwakil, HM Novoa… - Engineering Failure …, 2020 - Elsevier
Polyvinyl chloride (PVC) pipes are used extensively in water infrastructure due to their
lightweight, low cost, and ease of jointing. Failure occurrences in PVC pipes are attributed to …

AI-based cloud computing application for smart earthmoving operations

A Salem, O Moselhi - Canadian Journal of Civil Engineering, 2021 - cdnsciencepub.com
This paper introduces a newly developed model for automated monitoring and control of
productivity in earthmoving operations. The model makes use of advancements in wireless …

Operational based stochastic cluster regression-based modeling for predicting condition rating of highway tunnels

S Hasan, E Elwakil - Canadian Journal of Civil Engineering, 2021 - cdnsciencepub.com
Despite the higher capital costs of tunnels and supplementary cost of maintenance, fewer
deterioration models have been built compared with other highway components. Most of …

Factores que afectan negativamente la productividad de la maquinaria pesada en el movimiento de tierras de la carretera Huallangate-San José, Chota, 2022

E Gaitán Paredes - 2024 - repositorio.unc.edu.pe
La investigación tuvo como objetivo analizar los factores que afectan negativamente la
productividad de la maquinaria pesada (Excavadora CAT 320 D2L) en el movimiento de …

[PDF][PDF] LOW-COST smart productivity tracking model for earthmoving operations

S Ashraf, M Osama - 7th CSCE International Construction Specialty …, 2019 - legacy.csce.ca
This paper introduces a model for automated monitoring and control of productivity in
earthmoving operations. The model makes use of advancements in wireless sensing …