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2020 – today
- 2024
[j10]Abdulrahim Ali
, Raja Jayaraman, Elie Azar, Maher Maalouf:
Maximizing supply chain performance leveraging machine learning to anticipate customer backorders. Comput. Ind. Eng. 194: 110414 (2024)- 2022
- [j9]Abdulrahim Ali, Min Lin, Maedot Andargie, Elie Azar:
Demographics as Determinants of Building Occupants' Indoor Environmental Perceptions: Insights from a Machine Learning Incremental Modeling and Analysis Approach. J. Comput. Civ. Eng. 36(4) (2022) - [c6]Abdulrahim Ali, Raja Jayaraman, Elie Azar, Andrei Sleptchenko:
A Systematic Assessment of Genetic Algorithm (GA) in Optimizing Machine Learning Model: A Case Study from Building Science. IEEM 2022: 384-389 - 2021
- [j8]Brenda Hernandez, AbdulAziz Y. AlKayas, Elie Azar, Ahmad Mayyas:
Mathematical Model for the Placement of Hydrogen Refueling Stations to Support Future Fuel Cell Trucks. IEEE Access 9: 148118-148131 (2021) - [j7]Mecit Can Emre Simsekler, Noura Hamed Alhashmi, Elie Azar, Nelson King, Rana Adel Mahmoud Ali Luqman, Abdalla Al Mulla:
Exploring drivers of patient satisfaction using a random forest algorithm. BMC Medical Informatics Decis. Mak. 21(1): 157 (2021) - 2020
- [j6]Masab Khalid Annaqeeb, Romana Markovic, Vojislav Novakovic, Elie Azar:
Non-Intrusive Data Monitoring and Analysis of Occupant Energy-Use Behaviors in Shared Office Spaces. IEEE Access 8: 141246-141257 (2020)
2010 – 2019
- 2018
- [c5]Sokratis Papadopoulos, Wei Lee Woon, Elie Azar:
Machine Learning as Surrogate to Building Performance Simulation: A Building Design Optimization Application. DARE@PKDD/ECML 2018: 94-102 - 2017
- [j5]Elie Azar, Hamad Al Ansari:
Multilayer Agent-Based Modeling and Social Network Framework to Evaluate Energy Feedback Methods for Groups of Buildings. J. Comput. Civ. Eng. 31(4) (2017) - 2016
- [j4]Elie Azar, Carol C. Menassa:
Optimizing the Performance of Energy-Intensive Commercial Buildings: Occupancy-Focused Data Collection and Analysis Approach. J. Comput. Civ. Eng. 30(5) (2016) - [c4]Sokratis Papadopoulos, Elie Azar:
Optimizing HVAC operation in commercial buildings: A genetic algorithm multi-objective optimization framework. WSC 2016: 1725-1735 - [c3]Elie Azar, Ahmed Al Amoodi:
Quantifying the impact of uncertainty in human actions on the energy performance of educational buildings. WSC 2016: 1736-1744 - 2014
- [j3]Carol C. Menassa, Vineet R. Kamat, Sanghyun Lee, Elie Azar, Chen Feng, Kyle Anderson:
Conceptual Framework to Optimize Building Energy Consumption by Coupling Distributed Energy Simulation and Occupancy Models. J. Comput. Civ. Eng. 28(1): 50-62 (2014) - [j2]Elie Azar, Carol C. Menassa:
Framework to Evaluate Energy-Saving Potential from Occupancy Interventions in Typical Commercial Buildings in the United States. J. Comput. Civ. Eng. 28(1): 63-78 (2014) - 2012
- [j1]Elie Azar, Carol C. Menassa:
Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings. J. Comput. Civ. Eng. 26(4): 506-518 (2012) - 2011
- [c2]Elie Azar, Carol C. Menassa:
A decision framework for energy use reduction initiatives in commercial buildings. WSC 2011: 816-827 - 2010
- [c1]Elie Azar, Carol C. Menassa:
A conceptual framework to energy estimation in buildings using agent based modeling. WSC 2010: 3145-3156
Coauthor Index
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last updated on 2024-09-10 02:06 CEST by the dblp team
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