Publikacje: Zespół Uczenia Maszynowego
Opublikowane
2023
- Książek K.; Masarczyk W.; Głomb P.; Romaszewski M.; Stokłosa I.; Ścisło P.; Dębski P.; Pudlo R.; Buza K.; Gorczyca P.; Piegza M.; The analysis of heart rate variability and accelerometer mobility data in the assessment of symptom severity in psychotic disorder patients using a wearable Polar H10 sensor; medXriv; 2023
- Liu Y.; Wang X.; Chen Z.; Zhang Y.; Zhao S.; Devici M.; Jin L.; Skibniewski M.; Evaluating Digital Health Services Quality via Social Media; IEEE Transactions on Engineering Management; 2023
- Głomb P.; Cholewa M.; Koral W.; Madej A.; Romaszewski M.; Detection of emergent leaks using machine learning approaches; Water Supply; 2023
- Strzoda A.; Grochla K.; Głomb P.; Madej A.; Link failure prediction in LoRa networks; International Wireless Communications and Mobile Computing Conference, IWCMC; 2023
2022
- Sekuła P.; Szacowanie natężenia ruchu drogowego z wykorzystaniem sieci neuronowych; Transport Miejski i Regionalny; 2022
- Grabowski B.; Głomb P.; Książek K.; Buza K.; Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering; Asian Conference on Intelligent Information and Database Systems; 2022
- Grochla K.; Strzoda A.; Marjasz R.; Głomb P.; Książek K.; Łaskarzewski Z.; Energy-Aware Algorithm for Assignment of Relays in LPWAN; Transactions on Sensor Networks; 2022
- Liu H.; Ju Q.; Zhao N.; Li H.; Skibniewski M.; Fu H.; Value Proposition for Enabling Construction Project Innovation by Applying Building Information Modeling; Computational Intelligence and Neuroscience; 2022
- Pan Y.; Zhang L.; Unwin J.; Skibniewski M.; Discovering spatial-temporal patterns via complex networks in investigating COVID-19 pandemic in the United States; Sustainable Cities and Society; 2022
- Książek K.; Głomb P.; Romaszewski M.; Cholewa M.; Grabowski B.; Buza K.; Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation; 21st International Conference on Image Analysis and Processing; 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
- Huang H.; Tserng P.; Hou R.; Skibniewski M.; Wireless Sensor Network-Based Monitoring of Bridge Pile Foundations for Detecting Scouring Depth; Journal of Marine Science and Technology; 2021
- Cong X.; Ma L.; Wang L.; Šaparauskas J.; Górecki J.; Skibniewski M.; The early warning system for determining the “not in My Back Yard” of heavy pollution projects based on public perception; Journal of Cleaner Production; 2021
- Hu M.; Skibniewski M.; A Review of Building Construction Cost Research: Current Status, Gaps and Green Buildings; Green Building & Construction Economics; 2021
- Besklubova S.; Skibniewski M.; Zhang X.; Factors Affecting 3D Printing Technology Adaptation in Construction; Journal of Construction Engineering and Management; 2021
- Khoso A.; Yusof A.; Chen Z.; Skibniewski M.; Chin K.; Khahro S.; Sohu S.; Comprehensive analysis of state-of-the-art contractor selection models in construction environment-A critical review and future call; Socio-Economic Planning Sciences; 2021
- Chen Z.; Yang L.; Chin K.; Yang Y.; Pedrycz W.; Chang J.; Martínez L.; Skibniewski M.; Sustainable building material selection: An integrated multi-criteria large group decision making framework; Applied Soft Computing; 2021
- Pan Y.; Zhang L.; Yan Z.; Lwin M.; Skibniewski M.; Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia; Sustainable cities and society; 2021
- Hu M.; Skibniewski M.; Green Building Construction Cost Surcharge: An Overview; Journal of Architectural Engineering; 2021
- Zhang L.; Pan Y.; Wu X.; Skibniewski M.; Artificial Intelligence in Construction Engineering and Management; Lecture Notes in Civil Engineering; 2021