M.Z. Naser, PhD, PE
Clemson University
H-index: 38
North America-United States
Top articles of M.Z. Naser, PhD, PE
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Explainable machine learning model for prediction of axial capacity of strengthened CFST columns | Mohammadreza Zarringol MZ Naser | 2024/1/1 | |
Finite element modeling of reinforced concrete beams externally bonded with PET-FRP laminates | ACI Structural Journal | A Czkwianianc P Bodzak | 2001/9 |
Fire-induced collapse of an I-95 overpass in Philadelphia: Causes, collapse mechanism, and mitigation strategies | Engineering Structures | VKR Kodur AM Gil MZ Naser | 2024/3/15 |
Discovering causal models for structural and construction engineering phenomena | Defence Technology | MZ Naser | 2024/4/27 |
Causal diagrams for civil and structural engineers | Structures | MZ Naser | 2024/5/1 |
Dataset on fire resistance analysis of FRP-strengthened concrete beams | Data in brief | PP Bhatt VKR Kodur MZ Naser | 2024/2/1 |
Journal of Infrastructure Intelligence and Resilience | Journal of Infrastructure Intelligence and Resilience | Aybike Özyüksel Çiftçioglu MZ Naser | 2024 |
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence | MZ Naser | 2024/3/9 | |
Predicting Wildfire Ember Hot-Spots on Gable Roofs via Deep Learning | Fire | Mohammad Khaled Al-Bashiti Dac Nguyen MZ Naser Nigel B Kaye | 2024/4/25 |
SPINEX: Similarity-based predictions with explainable neighbors exploration for regression and classification | Applied Soft Computing | MZ Naser Mohammad Khaled al-Bashiti Ahmad Z Naser | 2024/5/1 |
SEM Image-based Porosity Analysis of Fire Damaged High Strength Concrete | Periodica Polytechnica Civil Engineering | Diana A Andrushia N Anand Éva Lublóy MZ Naser Balamurali Kanagaraj | 2024/1/12 |
Residual mechanical properties of recycled aggregate concrete at elevated temperatures | Tariq Aziz Asad-ur-Rehman Khan | 2019/9/16 | |
Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge | arXiv preprint arXiv:2403.04795 | Haley Hostetter MZ Naser Xinyan Huang John Gales | 2024/3/4 |
Integrating Machine Learning Models into Building Codes and Standards: Establishing Equivalence through Engineering Intuition and Causal Logic | Journal of Structural Engineering | MZ Naser | 2024/5/1 |
Impact of the variability of material constitutive models on the thermal response of reinforced concrete walls | Journal of Structural Fire Engineering | Ghada Karaki Rami A Hawileh MZ Naser | 2024/4/22 |
A Review on Machine Learning and Deep Learning Image-based Plant Disease Classification for Industrial Farming Systems | P Sajitha A Diana Andrushia N Anand MZ Naser | 2024/1/11 | |
Identifying and estimating causal effects of bridge failures from observational data | Journal of Infrastructure Intelligence and Resilience | Aybike Özyüksel Çiftçioğlu MZ Naser | 2024/3/1 |
Evacuation preparedness and intellectual disability: Insights from a university fire drill | Journal of Building Engineering | Haley Hostetter MZ Naser Kristina Randall Pamela Murray-Tuite | 2024/5/1 |
Beyond development: Challenges in deploying machine learning models for structural engineering applications | arXiv preprint arXiv:2404.12544 | Mohsen Zaker Esteghamati Brennan Bean Henry V Burton MZ Naser | 2024/4/18 |
The chemistry, properties and performance of flame-retardant rubber composites: Collecting, analyzing, categorizing, machine learning modeling, and visualizing | Paulina Wiśniewska Elnaz Movahedifar Krzysztof Formela MZ Naser Henri Vahabi | 2024/2/24 |
Co-Authors
