Chen, Z.-S., Yang, L.-L., Chin, K.-S., Yang, Y., Pedrycz, W., Chang, J.-P., Martínez, L., Skibniewski, M.J.
Sustainable building material selection: An integrated multi-criteria large group decision making framework
(2021) Applied Soft Computing, 113, art. no. 107903.
DOI: 10.1016/j.asoc.2021.107903
Hu, M., Skibniewski, M.
Green Building Construction Cost Surcharge: An Overview
(2021) ASCE Journal of Architectural Engineering, 27 (4), art. no. 04021034.
DOI: 10.1061/(ASCE)AE.1943-5568.0000506
Pan, Y., Zhang, L., Yan, Z., Lwin, M.O., Skibniewski, M.J.
Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia
(2021) Sustainable Cities and Society, 75, art. no. 103254.
DOI: 10.1016/j.scs.2021.103254
Khoso, A.R., Yusof, A.M., Chen, Z.-S., Wang, X.-J., Skibniewski, M.J., Memon, N.A.
Embedded remote group environment through modification in macbeth – an application of contractor’s selection in construction
(2021) Journal of Civil Engineering and Management, 27 (8), pp. 595-616.
DOI: 10.3846/jcem.2021.15763
Ma, T., Wang, Z., Skibniewski, M.J., Ding, J., Wang, G., He, Q.
Investigating stewardship behavior in megaprojects: An exploratory analysis
(2021) Engineering, Construction and Architectural Management, 28 (9), pp. 2570-2591.
DOI: 10.1108/ECAM-07-2020-0479
Khan, M., Khan, N., Skibniewski, M.J., Park, C.
Environmental particulate matter (Pm) exposure assessment of construction activities using low-cost pm sensor and latin hypercubic technique
(2021) Sustainability (Switzerland), 13 (14), art. no. 7797.
DOI: 10.3390/su13147797
Besklubova, S., Skibniewski, M.J., Zhang, X.
Factors Affecting 3D Printing Technology Adaptation in Construction
(2021) ASCE Journal of Construction Engineering and Management, 147 (5), art. no. 2034.
DOI: 10.1061/(ASCE)CO.1943-7862.0002034
Chen, Z.-S., Liu, X.-L., Chin, K.-S., Pedrycz, W., Tsui, K.-L., Skibniewski, M.J.
Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China
(2021) Information Fusion, 69, pp. 22-39.
DOI: 10.1016/j.inffus.2020.11.010
Cong, X., Ma, L., Wang, L., Šaparauskas, J., Górecki, J., Skibniewski, M.J.
The early warning system for determining the “not in My Back Yard” of heavy pollution projects based on public perception
(2021) Journal of Cleaner Production, 282, art. no. 125398.
DOI: 10.1016/j.jclepro.2020.125398
Pan, Y., Zhang, L., Unwin, J., Skibniewski, M.J.
Discovering spatial-temporal patterns via complex networks in investigating COVID-19 pandemic in the United States
(2021) Sustainable Cities and Society, art. no. 103508.
DOI: 10.1016/j.scs.2021.103508
Xiong, S.-H., Chen, Z.-S., Chiclana, F., Chin, K.-S., Skibniewski, M.J.
Proportional hesitant 2-tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans
(2021) International Journal of Intelligent Systems.
DOI: 10.1002/int.22714
Khoso, A.R., Yusof, A.M., Chen, Z.-S., Skibniewski, M.J., Chin, K.-S., Khahro, S.H., Sohu, S.
Comprehensive analysis of state-of-the-art contractor selection models in construction environment-A critical review and future call
(2021) Socio-Economic Planning Sciences, art. no. 101137.
DOI: 10.1016/j.seps.2021.101137
Huang, H.-T., Ping Tserng, H., Hou, R.-Y., Skibniewski, M.
Wireless sensor network-based monitoring of bridge pile foundations for detecting scouring depth
(2021) Journal of Marine Science and Technology (Taiwan), 29 (1), pp. 73-88.
DOI: 10.51400/2709-6998.1005
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Time Series Prediction
(2021) Lecture Notes in Civil Engineering, 163, pp. 67-93.
DOI: 10.1007/978-981-16-2842-9_4
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Dynamic Bayesian Networks
(2021) Lecture Notes in Civil Engineering, 163, pp. 125-146.
DOI: 10.1007/978-981-16-2842-9_6
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Fuzzy Modeling and Reasoning
(2021) Lecture Notes in Civil Engineering, 163, pp. 41-66.
DOI: 10.1007/978-981-16-2842-9_3
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Information Fusion
(2021) Lecture Notes in Civil Engineering, 163, pp. 95-124.
DOI: 10.1007/978-981-16-2842-9_5
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Introduction to Artificial Intelligence
(2021) Lecture Notes in Civil Engineering, 163, pp. 1-15.
DOI: 10.1007/978-981-16-2842-9_1
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Process Mining
(2021) Lecture Notes in Civil Engineering, 163, pp. 147-172.
DOI: 10.1007/978-981-16-2842-9_7
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Agent-Based Simulation
(2021) Lecture Notes in Civil Engineering, 163, pp. 173-199.
DOI: 10.1007/978-981-16-2842-9_8
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Computer Vision
(2021) Lecture Notes in Civil Engineering, 163, pp. 231-256.
DOI: 10.1007/978-981-16-2842-9_10
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Knowledge Representation and Discovery
(2021) Lecture Notes in Civil Engineering, 163, pp. 17-39.
DOI: 10.1007/978-981-16-2842-9_2
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Expert Systems
(2021) Lecture Notes in Civil Engineering, 163, pp. 201-230.
DOI: 10.1007/978-981-16-2842-9_9
Zhang, L., Pan, Y., Wu, X., Skibniewski, M.J.
Artificial Intelligence in Construction Engineering and Management: Conclusions and Future Directions
(2021) Lecture Notes in Civil Engineering, 163, pp. 257-263.
DOI: 10.1007/978-981-16-2842-9_11