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Empirical exploration of predictive maintenance in concrete manufacturing: Harnessing machine learning for enhanced equipment reliability in construction project …
Abstract Predictive Maintenance (PdM) in concrete manufacturing, particularly when viewed
through construction project management, is increasingly recognized for its significance …
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
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 …
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
This article presents a comprehensive investigation of the applicability of optimized machine
learning (ML) models with particle swarm optimization (PSO) for forecasting the shear …
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
Abstract 3D printing technology is growing swiftly in the construction sector due to its
numerous benefits, such as intricate designs, quicker construction, waste reduction …
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
As worries about climate change and energy security grow, the need for clean and
sustainable energy sources becomes increasingly critical. Among the possible alternatives …
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
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 …
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
This research explores the application of digital twin technologies to progress the United
Nations' Sustainable Development Goals (SDGs) within the water-energy-food-environment …
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
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 …
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
In recent years, the increasing frequency of slope failure events, such as landslides,
mudslides, ground fissures, and subsidence, has resulted in significant human and …
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
This study introduces an intelligent system that involves the Modified Extreme Gradient
Boosting (MXGBoost) algorithm to help improve clash detection in Building Information …
Boosting (MXGBoost) algorithm to help improve clash detection in Building Information …