Publikacje: Zespół Uczenia Maszynowego

2023

• Chang J.; Chen Z.; Wang X.; Martinez L.; Pedrycz W.; Skibniewski M.; Requirement-driven sustainable supplier selection: Creating an integrated perspective with stakeholders' interests and the wisdom of expert crowds; Computers and Industrial Engineering; 2023
• Liu Y.; Wang X.; Chen Z.; Zhang Y.; Zhao S.; Deveci M.; Jin L.; Skibniewski M.; Evaluating Digital Health Services Quality via Social Media; IEEE Transactions on Engineering Management; 2023
• Feng Z.; Chen W.; Liu Y.; Chen H.; Skibniewski M.; Long-term equilibrium relationship analysis and energy-saving measures of metro energy consumption and its influencing factors based on cointegration theory and an ARDL model; Energy; 2023
• Chang J.; Chen Z.; Wang Z.; Jin L.; Pedrycz W.; Martinez L.; Skibniewski M.; Assessing Spatial Synergy Between Integrated Urban Rail Transit System and Urban Form: A BULI-Based MCLSGA Model With the Wisdom of Crowds; IEEE Transactions on Fuzzy Systems; 2023
• Wang T.; Chen Z.; He P.; Govindan K.; Skibniewski M.; Alliance strategy in an online retailing supply chain: Motivation, choice, and equilibrium; Omega (United Kingdom); 2023
• Daboun O.; Abidin N.; Khoso A.; Chen Z.; Yusof A.; Skibniewski M.; Effect of relationship management on construction project success delivery; Journal of Civil Engineering and Management; 2023
• Cong X.; Wang S.; Wang L.; Qi Z.; Skibniewski M.; New smart city clusters’ construction level evaluation under economic circles: the case of Shandong, China; Technological and Economic Development of Economy; 2023
• Xie P.; Chen K.; Skibniewski M.; Wang J.; Luo H.; Parametric geological model update and probabilistic analysis of shield tunnel excavation: A borehole-based conditional random fields approach; Computers and Geotechnics; 2023
• Chen H.; Li X.; Feng Z.; Wang L.; Qin Y.; Skibniewski M.; Chen Z.; Liu Y.; Shield attitude prediction based on Bayesian-LGBM machine learning; Information Sciences; 2023
• Xiong S.; Zhu C.; Chen Z.; Deveci M.; Chiclana F.; Skibniewski M.; On extended power geometric operator for proportional hesitant fuzzy linguistic large-scale group decision-making; Information Sciences; 2023
• Wu X.; Cao Y.; Liu W.; He Y.; Xu G.; Chen Z.; Liu Y.; Skibniewski M.; BIM-driven building greenness evaluation system: An integrated perspective drawn from model data and collective experts' judgments; Journal of Cleaner Production; 2023
• Chen Z.; Zhu Z.; Wang X.; Chiclana F.; Herrera-Viedma E.; Skibniewski M.; Multiobjective Optimization-Based Collective Opinion Generation With Fairness Concern; IEEE Transactions on Systems, Man, and Cybernetics: Systems; 2023
• Cong X.; Su P.; Wang L.; Wang S.; Qi Z.; Šaparauskas J.; Górecki J.; Skibniewski M.; Measuring the Construction Efficiency of Zero-Waste City Clusters Based on an Undesirable Super-Efficiency Model and Kernel Density Estimation Method; Systems; 2023
• Wang Z.; Chen Z.; Su Q.; Xiao L.; Govindan K.; Skibniewski M.; Blockchain adoption in sustainable supply chains for Industry 5.0: A multistakeholder perspective; Journal of Innovation and Knowledge; 2023
• Cong X.; Qi Z.; Wang S.; Su P.; Wang L.; Šaparauskas J.; Górecki J.; Skibniewski M.; Ecological Welfare Performance Evaluation and Spatial–Temporal Difference Evolution of Blue Economic Zones: A Case Study of the Blue Economic Zone of Shandong Peninsula; Land; 2023
• Chen Z.; Lu J.; Wen J.; Wang X.; Deveci M.; Skibniewski M.; BIM-enabled decision optimization analysis for architectural glass material selection considering sustainability; Information Sciences; 2023
• Xiao L.; Chen Z.; Hou R.; Mardani A.; Skibniewski M.; Greenness-based subsidy and dual credit policy to promote new energy vehicles considering consumers' low-carbon awareness; Computers and Industrial Engineering; 2023
• Liu H.; Li Z.; Skibniewski M.; Wang L.; Cong X.; Górecki J.; Jin W.; Molding quality control with nonlinear forming method in 3D cement printing; Materials and Design; 2023
• Chen Z.; Zhou J.; Zhu C.; Wang Z.; Xiong S.; Rodríguez R.; Martinez L.; Skibniewski M.; Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework; Financial Innovation; 2023
• Głomb P.; Cholewa M.; Foszner P.; Bularz J.; Ganzha M.; Maciaszek L.; Paprzycki M.; Slezak D.; Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification; Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023; 2023
• Głomb P.; Romaszewski M.; Cholewa M.; Koral W.; Madej A.; Skrabski M.; Kołodziej K.; Machine Learning for Water Leak Detection and Localization in the WaterPrime Project; Wojciechowski A.(Ed.), Lipiński P.(Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.; 2023
• Gardas B.; Głomb P.; Sadowski P.; Puchała Z.; Jałowiecki K.; Pawela Ł.; Faucoz O.; Brunet P.; Gawron P.; Van Waveren M.; Savinaud M.; Pasero G.; Defonte V.; Hyper-Spectral Image Classification Using Adiabatic Quantum Computation; IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium; 2023
• Wójcik B.; Żarski M.; Książek K.; Miszczak J.; Skibniewski M.; A deep learning method for hard-hat-wearing detection based on head center localization; Bulletin of the Polish Academy of Sciences Technical Sciences; 2023
• Buza K.; Książek K.; Masarczyk W.; Głomb P.; Gorczyca P.; Piegza M.; A Simple and Effective Classifier for the Detection of Psychotic Disorders based on Heart Rate Variability Time Series; Information Technologies – Applications and Theory 2023; 2023
• Ciemięga A.; Maresz K.; Romaszewski M.; Głomb P.; Krupska-Wolas P.; Prusik K.; Hyperspectral Imaging as a Facile and Non-Destructive Method for Size Analysis of Gold Nanoparticles Deposited on Porous Materials; Particle & Particle Systems Characterization; 2023