Publications: Machine Learning Group
Published
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
- Khoso A.; Yusof A.; Chen Z.; Wang X.; Skibniewski M.; Memon N.; EMBEDDED REMOTE GROUP ENVIRONMENT THROUGH MODIFICATION IN MACBETH – AN APPLICATION OF CONTRACTOR’S SELECTION IN CONSTRUCTION; Journal of Civil Engineering and Management; 2021
- Xiong S.; Chen Z.; Chiclana F.; Chin K.; Skibniewski M.; Proportional hesitant 2‐tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans; INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS; 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
- Romaszewski M.; Głomb P.; Sochan A.; Cholewa M.; A dataset for evaluating blood detection in hyperspectral images; Forensic Science International; 2021
2020
- Ma T.; Wang Z.; Skibniewski M.; Ding J.; Wang G.; He Q.; Investigating stewardship behavior in megaprojects: An exploratory analysis; Engineering Construction and Architectural Management; 2020