Empirical exploration of predictive maintenance in concrete manufacturing: Harnessing machine learning for enhanced equipment reliability in construction project …

O Alshboul, RE Al Mamlook, A Shehadeh… - Computers & Industrial …, 2024 - Elsevier
Abstract Predictive Maintenance (PdM) in concrete manufacturing, particularly when viewed
through construction project management, is increasingly recognized for its significance …

A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS

O Alshboul, G Almasabha, A Shehadeh, K Al-Shboul - Structures, 2024 - Elsevier
Steel fiber reinforced concrete (SFRC) was revealed to have superior mechanical properties
compared to plain concrete, especially under shear loads. However, Due to a lack of …

Investigation of optimized machine learning models with PSO for forecasting the shear capacity of steel fiber-reinforced SCC beams with/out stirrups

F Ergen, M Katlav - Journal of Building Engineering, 2024 - Elsevier
This article presents a comprehensive investigation of the applicability of optimized machine
learning (ML) models with particle swarm optimization (PSO) for forecasting the shear …

[HTML][HTML] Data-driven models for predicting compressive strength of 3D-printed fiber-reinforced concrete using interpretable machine learning algorithms

M Arif, F Jan, A Rezzoug, MA Afridi, M Luqman… - Case Studies in …, 2024 - Elsevier
Abstract 3D printing technology is growing swiftly in the construction sector due to its
numerous benefits, such as intricate designs, quicker construction, waste reduction …

[HTML][HTML] Investigation of graphene based disk-square integration resonator for enhanced solar absorption using machine learning for solar heaters

NB Ali, D Agravat, SK Patel, A Armghan… - Alexandria Engineering …, 2024 - Elsevier
As worries about climate change and energy security grow, the need for clean and
sustainable energy sources becomes increasingly critical. Among the possible alternatives …

Integrative strategies for social inclusion and equity: Enhancing refugee access to higher education in Jordan

R AlKharouf, A Shehadeh, A Alrefaee, O Alshboul - Heliyon, 2024 - cell.com
Incorporating sustainability principles into refugee education, an often overlooked yet crucial
domain is pivotal for future societal development. Focusing on UNHCR's directive in Jordan …

[HTML][HTML] Enhancing urban sustainability and resilience: Employing digital twin technologies for integrated WEFE Nexus Management to achieve SDGs

A Shehadeh, O Alshboul, M Arar - Sustainability, 2024 - mdpi.com
This research explores the application of digital twin technologies to progress the United
Nations' Sustainable Development Goals (SDGs) within the water-energy-food-environment …

[HTML][HTML] Machine learning techniques for predicting the peak response of reinforced concrete beam subjected to impact loading

A Husnain, M Iqbal, HA Waqas, M El-Meligy… - Results in …, 2024 - Elsevier
To meet the growing need for resilient structures in seismic and high-impact zones, accurate
prediction of the response of reinforced concrete (RC) beams under impact loads is …

Reliability of information-theoretic displacement detection and risk classification for enhanced slope stability and safety at highway construction sites

O Alshboul, A Shehadeh, G Almasabha - Reliability Engineering & System …, 2025 - Elsevier
In recent years, the increasing frequency of slope failure events, such as landslides,
mudslides, ground fissures, and subsidence, has resulted in significant human and …

[HTML][HTML] Enhanced clash detection in building information modeling: Leveraging modified extreme gradient boosting for predictive analytics

A Shehadeh, O Alshboul, MM Taamneh… - Results in …, 2024 - Elsevier
This study introduces an intelligent system that involves the Modified Extreme Gradient
Boosting (MXGBoost) algorithm to help improve clash detection in Building Information …