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Przemysław Sekuła
Przemysław Sekuła
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
Verified email at iitis.pl
Title
Cited by
Cited by
Year
Machine learning in construction: From shallow to deep learning
Y Xu, Y Zhou, P Sekula, L Ding
Developments in the built environment 6, 100045, 2021
1622021
Combining association rules mining with complex networks to monitor coupled risks
Y Zhou, C Li, L Ding, P Sekula, PED Love, C Zhou
Reliability Engineering & System Safety 186, 194-208, 2019
622019
Estimating historical hourly traffic volumes via machine learning and vehicle probe data: A Maryland case study
P Sekuła, N Marković, Z Vander Laan, KF Sadabadi
Transportation Research Part C: Emerging Technologies 97, 147-158, 2018
622018
Applications of trajectory data from the perspective of a road transportation agency: Literature review and maryland case study
N Marković, P Sekuła, Z Vander Laan, G Andrienko, N Andrienko
IEEE Transactions on Intelligent Transportation Systems 20 (5), 1858-1869, 2018
45*2018
Estimating hourly traffic volumes using artificial neural network with additional inputs from automatic traffic recorders
S Zahedian, P Sekuła, A Nohekhan, Z Vander Laan
Transportation Research Record 2674 (3), 272-282, 2020
222020
Design and automated assembly of Planetary LEGO Brick for lunar in-situ construction
C Zhou, B Tang, L Ding, P Sekula, Y Zhou, Z Zhang
Automation in Construction 118, 103282, 2020
172020
Estimating highway volumes using vehicle probe data-proof of concept
Y Hou, SE Young, K Sadabadi, PB SekuBa, D Markow
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2018
102018
Machine learning in construction: From shallow to deep learning. Developments in the Built Environment, 6, 100045
Y Xu, Y Zhou, P Sekula, L Ding
Go to original source, 2021
52021
Interesariusze projektów publicznych–sukces projektu publicznego w ujęciu specjalistów od zarządzania projektami
H Brandenburg, K Ficek-Wojciuch, M Magdoń, P Sekuła
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 2016
42016
Analyzing impact of I-85 bridge collapse on regional travel in Atlanta
M Hamedi, S Eshragh, M Franz, PM Sekula
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
32018
Predicting work zone collision probabilities via clustering: application in optimal deployment of highway response teams
P Sekuła, Z Vander Laan, K Farokhi Sadabadi, MJ Skibniewski
Journal of Advanced Transportation 2018, 2018
32018
Developments in the built environment
Y Xu, Y Zhou, P Sekula, L Ding
Machine Learning in Construction: From Shallow to Deep Learning 6, 100045, 2021
22021
Projekt badawczy pt" Sukces projektu publicznego i jego uwarunkowania"-wyniki studiów literaturowych i program realizacji projektu
H Brandenburg, K Ficek-Wojciuch, M Magdoń, P Sekuła
Prace Naukowe/Uniwersytet Ekonomiczny w Katowicach, 52-60, 2016
22016
Budżet zadaniowy jako skuteczne narzędzie zarządzania w samorządzie
P Sekuła
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 229-238, 2015
22015
Szacowanie natężenia ruchu drogowego z wykorzystaniem sieci neuronowych
P Sekuła
Transport Miejski i Regionalny, 2022
12022
Transferability of a Machine Learning-Based Model of Hourly Traffic Volume Estimation—Florida and New Hampshire Case Study
P Sekuła, ZV Laan, KF Sadabadi, K Kania, S Zahedian
Journal of Advanced Transportation 2021, 1-15, 2021
12021
Application of Vehicle Probe Data in Estimating Traffic Volumes: a Maryland Case Study
P Sekula, N Marković, Z Vander Laan, K Farokhi Sadabadi
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
12018
Zarządzanie programami według Program Management Institute
P Sekuła
Regional Barometer. Analyses & Prognoses 12 (2), 147-155, 2014
12014
Kolejowe przewozy regionalne–wyzwania i problemy
P Sekuła
Biblioteka Regionalisty, 201-210, 2013
12013
Automated Traffic Signal Performance Measures Using Emerging Data Sources
M Franz, S Young, S Remias, M Pack, KF Sadabadi, P Sekula
2019 ITS America Annual Meeting, 2019
2019
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