Search Results - "Elzarka, Hazem"

Optimizing Machine Learning Algorithms for Improving Prediction of Bridge Deck Deterioration: A Case Study of Ohio Bridges by Rashidi Nasab, Armin, Elzarka, Hazem

“…The deterioration of a bridge’s deck endangers its safety and serviceability. Ohio has approximately 45,000 bridges that need to be monitored to ensure their…”
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Key factors affecting the decision-making process for buildings projects in Egypt by Shanshan Zhong, Hosam Elhegazy, Hazem Elzarka

“…The success of optimal system selection depends on many factors, such as the nature of the project itself, design team collaboration, team leader's…”
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An Improved Inspection Process and Machine-Learning-Assisted Bridge Condition Prediction Model by Fang, Jingang, Hu, Jun, Elzarka, Hazem, Zhao, Hongyu, Gao, Ce

“…Bridges have a special place in transportation infrastructures and road networks due to their direct relationship with other places. These structures have the…”
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Managing Safety Risks from Overlapping Construction Activities: A BIM Approach by Rashidi Nasab, Armin, Malekitabar, Hassan, Elzarka, Hazem, Nekouvaght Tak, Ala, Ghorab, Khashayar

“…Addressing safety risks in construction is an ongoing priority, and integrating safety considerations into construction scheduling is a crucial aspect of this…”
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Machine Learning and Statistical Test–Based Culvert Condition Impact Factor Analysis by Gao, Ce, Li, Zhibin, Elzarka, Hazem, Yan, Hongyan, Li, Peijin

“…For managers of road infrastructure, culvert deterioration is a major concern since culvert failures can cause serious risks to the traveling public. The…”
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Artificial Intelligence for Developing Accurate Preliminary Cost Estimates for Composite Flooring Systems of Multi-Storey Buildings by Elhegazy, Hosam, Chakraborty, Debaditya, Elzarka, Hazem, Ebid, Ahmed M., Mahdi, Ibrahim M., Aboul Haggag, Said Y., Abdel Rashid, Ibrahim

“…In a decision-making study, design alternatives are compared with respect to cost, performance, and reliability, and the best is selected. Often, due to the…”
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A Hybrid TOPSIS-Structure Entropy Weight Group Subcontractor Selection Model for Large Construction Companies by Gao, Ce, Elzarka, Hazem, Yan, Hongyan, Chakraborty, Debaditya, Zhou, Chunmei

“…The selection of suitable subcontractors for large construction companies is crucially important for the overall success of their projects. As the construction…”
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Early detection of faults in HVAC systems using an XGBoost model with a dynamic threshold by Chakraborty, Debaditya, Elzarka, Hazem

“…Growing demand for energy efficient buildings requires robust models to ensure efficient performance over the evolving life cycle of the building. Energy…”
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Best Practices for Procuring Commissioning Services by Elzarka, Hazem M

“…Owners are increasingly recognizing building commissioning as an effective means of ensuring quality and maximizing energy performance. The demand for…”
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Advanced machine learning techniques for building performance simulation: a comparative analysis by Chakraborty, Debaditya, Elzarka, Hazem

“…Energy consumption predictions for buildings play an important role in energy efficiency and sustainability research. Accurate energy predictions have numerous…”
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Whole building life cycle assessment for buildings: A case study ON HOW to achieve the LEED credit by Pai, Vibha, Elzarka, Hazem

“…Whole building life cycle assessment (WBLCA) has received significant attention from the research community in the past few years. The United States Green…”
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The use of decision tree based predictive models for improving the culvert inspection process by Gao, Ce, Elzarka, Hazem

“…Culverts are important components of a roadway and should be properly maintained to ensure adequate road surface drainage and public safety. Culvert…”
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A Hybrid Grey System Theory–Based Subcontractor Selection Model for High-Stakes Construction Projects by Zhong, Shanshan, Elzarka, Hazem

“…AbstractProper selection of subcontractors should consider multiple criteria such as cost, schedule, quality, and effective project management and control…”
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Performance testing of energy models: are we using the right statistical metrics? by Chakraborty, Debaditya, Elzarka, Hazem

“…Testing the predictive performance of energy models (EMs) is necessary to evaluate their accuracies. This paper investigates the adequacy of existing…”
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Retrospective Evaluation of the Vulnerability of Watershed Sustainable Water Development Using a Time-Series-Based Space Geometry Model: Xiang Jiang Watershed, China by Zhong, Shanshan, Elzarka, Hazem

“…AbstractThe ability to retrospectively evaluate the vulnerability of a watershed can identify potential risks influencing sustainable water development over…”
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A novel construction cost prediction model using hybrid natural and light gradient boosting by Chakraborty, Debaditya, Elhegazy, Hosam, Elzarka, Hazem, Gutierrez, Lilianna

“…In this paper, we compared the predictive capabilities of six different machine learning algorithms – linear regression, artificial neural network, random…”
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Risk assessment for construction of urban rail transit projects by Yan, Hongyan, Gao, Ce, Elzarka, Hazem, Mostafa, Kareem, Tang, Wenbin

“…Taken all factors into consideration regarding the uncertainties of urban rail transit projects construction and incompatibility of the assessment conclusion,…”
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Critical Success Criteria for Programs in China: Construction Companies’ Perspectives by Yan, Hongyan, Elzarka, Hazem, Gao, Ce, Zhang, Feilian, Tang, Wenbin

“…AbstractConstruction programs in China have been growing in popularity, yet little rigorous research has been done to identify their critical success criteria…”
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Building Information Modeling enabled Cascading Formwork Management Tool by Mansuri, Dolly, Chakraborty, Debaditya, Elzarka, Hazem, Deshpande, Abhijeet, Gronseth, Trevor

“…Formwork systems are accountable for a significant share of the cost of reinforced concrete structures. The application of constructability principles to the…”
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Generation of accurate weather files using a hybrid machine learning methodology for design and analysis of sustainable and resilient buildings by Chakraborty, Debaditya, Elzarka, Hazem, Bhatnagar, Raj

“…•A hybrid machine learning methodology is proposed for future weather prediction.•The methodology is validated using real solar irradiance data.•The importance…”
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