Przemysław Sekuła
2026
2025
- Zahedian S.; Franz M.; Parekh D.; Sekuła P.; Pack M.; Lattimer C.; Assessment of the Impact of the Francis Scott Key Bridge Collapse on Regional Traffic; Transportation Research Record: Journal of the Transportation Research Board; 2025
- Sekuła P.; He Q.; Sadabadi K.; Moscosso R.; Jacobs T.; Laan Z.; Franz M.; Cholewa M.; Vehicle-to-Infrastructure System Prototype for Intersection Safety; Applied Sciences; 2025
- Sekuła P.; Shayesteh N.; He Q.; Zahedian S.; Moscosso R.; Cholewa M.; Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach; Applied Sciences; 2025
- Sekuła P.; Romaszewski M.; Głomb P.; Cholewa M.; Pawela Ł.; Quantum-aware Transformer model for state classification; International Conference on Computational Science 2025; 2025
- Romaszewski M.; Sekuła P.; Głomb P.; Cholewa M.; Kołodziej K.; Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models; Journal of Artificial Intelligence and Soft Computing Research; 2025
2024
- Romaszewski M.; Sekuła P.; Poster: Explainable classification of multimodal time series using LLMs; 5th Polish Conference on Artificial Intelligence (PP-RAI 2024); 2024
- Kołodziej K.; Cholewa M.; Romaszewski M.; Głomb P.; Koral W.; Sekuła P.; Calibration of Water Demand Network Through a Machine Learned Digital Twin Model; 5th Polish Conference on Artificial Intelligence (PP-RAI 2024); 2024
- Romaszewski M.; Sekuła P.; Głomb P.; Cholewa M.; Kołodziej K.; Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models; arXiv preprint arXiv:2406.04926; 2024
2022
- Sekuła P.; Szacowanie natężenia ruchu drogowego z wykorzystaniem sieci neuronowych; Transport Miejski i Regionalny; 2022
2021
- Xu Y.; Zhou Y.; Sekuła P.; Ding L.; Machine learning in construction: From shallow to deep learning; Developments in the built environment; 2021
- Sekuła P.; Laan Z.; Sadabadi K.; Kania K.; Zahedian S.; Transferability of a Machine Learning-Based Model of Hourly Traffic Volume Estimation—Florida and New Hampshire Case Study; Journal of Advanced Transportation; 2021
- Xu Y.; Zhou Y.; Sekuła P.; Ding L.; Machine learning in construction: From shallow to deep learning; Developments in the built environment; 2021
2020
- Zahedian S.; Sekuła P.; Nohekhan A.; Laan Z.; Estimating hourly traffic volumes using artificial neural network with additional inputs from automatic traffic recorders; Transportation Research Record; 2020
2019
- Franz M.; Young S.; Remias S.; Pack M.; Sadabadi K.; Sekuła P.; Automated Traffic Signal Performance Measures Using Emerging Data Sources; 2019 ITS America Annual Meeting; 2019