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Hamed Alikhani
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An automatic system to monitor the physical distance and face mask wearing of construction workers in COVID-19 pandemic
M Razavi, H Alikhani, V Janfaza, B Sadeghi, E Alikhani
SN computer science 3, 1-8, 2022
632022
Construction schedule, an influential factor on air pollution in urban infrastructure projects
A Alvanchi, M Rahimi, M Mousavi, H Alikhani
Journal of Cleaner Production 255, 120222, 2020
312020
Air pollution concentration near sensitive urban locations: A missing factor to consider in the grade separation projects
A Alvanchi, M Rahimi, H Alikhani
Journal of cleaner production 228, 824-832, 2019
162019
A deep learning algorithms to generate activity sequences using historical as-built schedule data
H Alikhani, C Le, HD Jeong
Proc., Creative Construction e-Conf, 2-6, 2020
112020
FMEA and AHP methods in managing environmental risks in landfills: a case study of Kahrizak, Iran
B Sadeghi, M Sodagari, H Nematollahi, H Alikhani
Environmental Energy and Economic Research 5 (2), 1-15, 2021
102021
In-depth investigation of project planning and control software package application in the construction industry of iran
A Alvanchi, N Shiri, H Alikhani
International Journal of Engineering 33 (10), 1817-1825, 2020
52020
Activity sequencing logics using daily work report data
HD Jeong, H Alikhani
Montana. Dept. of Transportation. Research Programs, 2020
52020
Using genetic algorithms for long-term planning of network of bridges
H Alikhani, A Alvanchi
Scientia Iranica, DOI: 10.24200/SCI.2017.4604, 2017
52017
Artificial Intelligence (AI) Based Tool to Estimate Contact Time
HD Jeong, H Alikhani
Montana. Department of Transportation. Research Programs, 2023
22023
Highway project clustering using unsupervised machine learning approach
H Alikhani, HD Jeong
Computing in Civil Engineering 2021, 172-179, 2021
22021
An Artificial Intelligence Based Model for Construction Activity Sequence Prediction in Highway Projects
H Alikhani, HD Jeong
Construction Research Congress 2022, 414-421, 2022
12022
Optimizing maintenance equipment life-cycle for local agencies
HD Jeong, J Shane, K Scheibe, S Nilakanta, H Alikhani
Rep. No. IHRB Project TR-727. Ames, IA: Iowa State Univ, 2019
12019
Sequential Machine Learning for Activity Sequence Prediction from Daily Work Report Data
H Alikhani, C Le, HD Jeong, I Damnjanovic
Journal of Construction Engineering and Management 149 (9), 04023082, 2023
2023
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Articles 1–13