| Early detection of faults in HVAC systems using an XGBoost model with a dynamic threshold D Chakraborty, H Elzarka Energy and Buildings 185, 326-344, 2019 | 154 | 2019 |
| Advanced machine learning techniques for building performance simulation: a comparative analysis D Chakraborty, H Elzarka Journal of Building Performance Simulation 12 (2), 193-207, 2019 | 144 | 2019 |
| A novel construction cost prediction model using hybrid natural and light gradient boosting D Chakraborty, H Elhegazy, H Elzarka, L Gutierrez Advanced Engineering Informatics 46, 101201, 2020 | 134 | 2020 |
| Risk assessment for construction of urban rail transit projects H Yan, C Gao, H Elzarka, K Mostafa, W Tang Safety science 118, 583-594, 2019 | 68 | 2019 |
| Critical success criteria for programs in China: Construction companies’ perspectives H Yan, H Elzarka, C Gao, F Zhang, W Tang Journal of Management in Engineering 35 (1), 04018048, 2019 | 66 | 2019 |
| Performance testing of energy models: are we using the right statistical metrics? D Chakraborty, H Elzarka Journal of Building Performance Simulation 11 (4), 433-448, 2018 | 62 | 2018 |
| Artificial intelligence for developing accurate preliminary cost estimates for composite flooring systems of multi-storey buildings H Elhegazy, D Chakraborty, H Elzarka, AM Ebid, IM Mahdi, ... Journal of Asian Architecture and Building Engineering 21 (1), 120-132, 2022 | 49 | 2022 |
| Building information modeling enabled cascading formwork management tool D Mansuri, D Chakraborty, H Elzarka, A Deshpande, T Gronseth Automation in Construction 83, 259-272, 2017 | 49 | 2017 |
| A vague set fuzzy multi-attribute group decision-making model for selecting onsite renewable energy technologies for institutional owners of constructed facilities HM Elzarka, H Yan, D Chakraborty Sustainable Cities and Society 35, 430-439, 2017 | 41 | 2017 |
| The use of decision tree based predictive models for improving the culvert inspection process C Gao, H Elzarka Advanced Engineering Informatics 47, 101203, 2021 | 38 | 2021 |
| Generation of accurate weather files using a hybrid machine learning methodology for design and analysis of sustainable and resilient buildings D Chakraborty, H Elzarka, R Bhatnagar Sustainable Cities and Society 24, 33-41, 2016 | 36 | 2016 |
| Key factors affecting the decision-making process for buildings projects in Egypt S Zhong, H Elhegazy, H Elzarka Ain Shams Engineering Journal 13 (3), 101597, 2022 | 32 | 2022 |
| Development of pen-based computer field applications HM Elzarka, LC Bell Journal of Computing in Civil Engineering 11 (2), 140-143, 1997 | 31 | 1997 |
| Object-oriented methodology for materials-management systems HM Elzarka, LC Bell Journal of construction engineering and management 121 (4), 438-445, 1995 | 31 | 1995 |
| Best practices for procuring commissioning services HM Elzarka Journal of Management in Engineering 25 (3), 155-164, 2009 | 29 | 2009 |
| Optimizing machine learning algorithms for improving prediction of bridge deck deterioration: A case study of Ohio bridges A Rashidi Nasab, H Elzarka Buildings 13 (6), 1517, 2023 | 26 | 2023 |
| Whole building life cycle assessment for buildings: A case study ON HOW to achieve the LEED credit V Pai, H Elzarka Journal of cleaner production 297, 126501, 2021 | 23 | 2021 |
| Computer integrated construction for small and medium contractors H Elzarka ASCE 37th Annual Conference, ASCE, Denver, Colorado, 255-62, 2001 | 18 | 2001 |
| Managing safety risks from overlapping construction activities: A BIM approach A Rashidi Nasab, H Malekitabar, H Elzarka, A Nekouvaght Tak, K Ghorab Buildings 13 (10), 2647, 2023 | 15 | 2023 |
| A knowledge-based approach for automating construction safety management HM Elzarka, IA Minkarah, R Pulikal Proceedings of the 2nd International Conference on the Implementation of …, 1999 | 14 | 1999 |
DEBADITYA CHAKRABORTYUniversity of Texas San Antonio在 utsa.edu 的电子邮件经过验证
