Multi-response optimization of crashworthy performance of perforated thin walled tubes

H Alshahrani, TA Sebaey… - Journal of …, 2023 - journals.sagepub.com
It is advised to add cuts as circular holes to constructions' walls for technical requirements
such as the assembly and to reduce the weight. Since these induced cutouts have a …

[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 …

[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] Driving against the clock: Investigating the impacts of time pressure on taxi and non-professional drivers' safety and compliance

Q Hussain, WKM Alhajyaseen - Accident Analysis & Prevention, 2025 - Elsevier
Drivers often encounter time pressure, which can lead to riskier driving habits, decreased
safety margins, and a higher chance of accidents. Given that taxi drivers frequently …

[HTML][HTML] Integrated machine learning models for predictive analysis of thermal and electrical power generation of a photo-thermal system at Catania, Italy

M Safae, H Bekkay, A Mellit, S Aneli… - Case Studies in Thermal …, 2024 - Elsevier
Abstract The Photovoltaic-Thermal (PV/T) system is designed for producing both electrical
and thermal energy. Its efficiency is improved when temperature-sensitive PV cells are …

[HTML][HTML] Comparative analysis of flexural strength prediction in SFRC using frequentist, Bayesian, and Machine Learning approaches

Á De La Rosa, J Sáinz-Aja, I Rivas, G Ruiz… - Case Studies in …, 2024 - Elsevier
Steel fiber reinforcement significantly enhances the flexural strength of concrete, which is
vital for structural integrity. Annex L of the new Eurocode 2 classifies steel fiber-reinforced …

Multi-objective time-cost-safety risk trade-off optimization for the construction scheduling problem

M Yılmaz, T Dede - Engineering, Construction and Architectural …, 2024 - emerald.com
Purpose The purpose of this study is to enable the planning of construction projects with
simultaneous consideration of time, cost and safety risks. It also aims to improve the decision …

A data-driven framework for conceptual cost estimation of infrastructure projects using XGBoost and Bayesian optimization

J Zhang, J Yuan, A Mahmoudi, W Ji… - Journal of Asian …, 2023 - Taylor & Francis
Cost estimation is a key component of project plans, yet it is challenging to provide reliable
and efficient estimations using conventional methods in the conceptual phase of …

Boosting Ensemble Learning for Freeway Crash Classification under Varying Traffic Conditions: A Hyperparameter Optimization Approach

A Almahdi, RE Al Mamlook, N Bandara, AS Almuflih… - Sustainability, 2023 - mdpi.com
Freeway crashes represent a significant and persistent threat to road safety, resulting in both
loss of life and extensive property damage. Effectively addressing this critical issue requires …

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 …