A novel conceptual cost estimation decision-making model for field canal improvement projects

HH Elmousalami, AH Ali, AF Kineber… - International Journal of …, 2024 - Taylor & Francis
Abstract Field Canals Improvement Projects (FCIPs) are a promising project category to
preserve irrigation water resources. There are multiple approaches available to estimate a …

A Systematic Review of the Digital Transformation of the Building Construction Industry

KK Naji, M Gunduz, F Alhenzab, H Al-Hababi… - IEEE …, 2024 - ieeexplore.ieee.org
Construction sector spending makes a significant contribution to the global economy, with
approximately 10 trillion being spent on building and construction activities annually …

Automation of text document classification in the budgeting phase of the Construction process: a Systematic Literature Review

L Jacques de Sousa, J Poças Martins… - Construction …, 2024 - emerald.com
Purpose This study aims to review recent advances towards the implementation of ANN and
NLP applications during the budgeting phase of the construction process. During this phase …

[HTML][HTML] Portuguese public procurement data for construction (2015–2022)

LJ de Sousa, JP Martins, L Sanhudo - Data in Brief, 2023 - Elsevier
Abstract The Architecture, Engineering and Construction (AEC) sector currently exhibits a
significant scarcity of systematised information in databases (DB). This characteristic is a …

Green artificial intelligence for cost-duration variance prediction (CDVP) for irrigation canals rehabilitation projects

H Elmousalami, N Elshaboury, AH Elyamany - Expert Systems with …, 2024 - Elsevier
Abstract This research introduces Automated Cost-Duration Variance Prediction (CDVP)
system to empower project managers to proactively predict project budget, duration, cost …

[HTML][HTML] Predicting construction project compliance with machine learning model: case study using Portuguese procurement data

L Jacques de Sousa, J Poças Martins… - Engineering …, 2024 - emerald.com
Purpose Factors like bid price, submission time, and number of bidders influence the
procurement process in public projects. These factors and the award criteria may impact the …

Evaluation of several machine learning models for field canal improvement project cost prediction

S Shartooh Sharqi, A Bhattarai - Complexity, 2021 - Wiley Online Library
Project cost prediction is one of the key elements in the civil engineering activities
development. Project cost is a highly sensitive component to diverse parameters and hence …

Artificial Intelligence for Drilling Lost Circulation: A Systematic Literature Review

H Elmousalami, I Sakr - Geoenergy Science and Engineering, 2024 - Elsevier
One major obstacle in well construction and drilling is the problem of lost circulation. Large
amounts of non-productive time (NPT) are caused by the unintentional flow of fluids into the …

Automated lost circulation severity classification and mitigation system using explainable Bayesian optimized ensemble learning algorithms

H Elmousalami, I Sakr - Journal of Petroleum Exploration and Production …, 2024 - Springer
Lost circulation and mud losses cause 10 to 20% of the cost of drilling operations under
extreme pressure and temperature conditions. Therefore, this research introduces an …

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

KK Naji, M Gunduz, F Alhenzab, H Al-Hababi… - Buildings, 2024 - mdpi.com
The rapid advancement of digital technology has enabled digital transformation across
various sectors, including construction. The construction industry has long been associated …