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Mohammad Abu-Haifa
Institution:
Thornton Tomasetti (United States)
Observed institutions:
Jordan University of Science and Technology,
Florida International University,
Thornton Tomasetti (United States)
ORCID:
0009-0009-3554-8774
Observed ORCID:
0009-0009-3554-8774
OpenAlex ID:
A5012461304
Predicting the contribution of recycled aggregate concrete to the shear capacity of beams without transverse reinforcement using artificial neural networks
2020
·
Ayman Ababneh
, Mohammad Alhassan
, et al.
·
Case Studies in Construction Materials
·
54
PDF
Comparative Analysis of ChatGPT, GPT-4, and Microsoft Copilot Chatbots for GRE Test
2024
·
Mohammad Abu-Haifa
, Bara'a Etawi
, et al.
·
International Journal of Learning Teaching and Educational Research
·
15
PDF
Image-based 3D modeling-to-simulation of single-wythe masonry structure via reverse descriptive geometry
2023
·
Mohammad Abu-Haifa
, Seung Jae Lee
·
Journal of Building Engineering
·
15
PDF
Image-Based Modeling-to-Simulation of Masonry Walls
2022
·
Mohammad Abu-Haifa
, Seung Jae Lee
·
Journal of Architectural Engineering
·
11
Synergistic Integration of 3D Printing and Machine Learning for Smart Structural Systems: Overview and Feasibility
2025
·
Nour Betoush
, Ayah Alkhawaldeh
, et al.
·
Lecture notes in civil engineering
·
2
Prediction of Compressive Strength in Thermally Exposed Recycled Aggregate Concrete Using Artificial Neural Networks
2025
·
Huthaifa Alkhatatbeh
, Mohammad Abu-Haifa
, et al.
·
Lecture notes in civil engineering
·
1
Phenotypic Trait of Painting Cracks
2024
·
Mohammad Abu-Haifa
, Seung Jae Lee
, et al.
·
Studies in Conservation
·
1
Innovative Synergies Between Imaging Techniques and Numerical Simulations for Enhanced Non-Destructive Evaluation in Civil Engineering
2025
·
Mohammad Abu-Haifa
, Osama Alghzawi
, et al.
·
Lecture notes in civil engineering
Enhancing Transfer Length Prediction in Prestressed Concrete Beam Through Advanced Modeling Techniques Based on Artificial Neural Network
2025
·
Nour Betoush
, Ayman N. Ababneh
, et al.
·
Lecture notes in civil engineering
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Works count:
9
Citation count:
99
H-index:
4
I10-index:
4
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