All Outputs (6)

Project portfolio resource risk assessment considering project interdependency by the fuzzy Bayesian network (2020)
Journal Article
Bai, L., Zhang, K., Shi, H., An, M., & Han, X. (2020). Project portfolio resource risk assessment considering project interdependency by the fuzzy Bayesian network. Complexity, 2020, 5410978. https://doi.org/10.1155/2020/5410978

Resource risk caused by specific resource sharing or competition among projects due to resource constraints is a major issue in project portfolio management, which challenges the application of risk analysis methods effectively. This paper presents a... Read More about Project portfolio resource risk assessment considering project interdependency by the fuzzy Bayesian network.

Guest editors’ introduction (Vol. 30, No. 7) (2020)
Journal Article
Qin, Y., An, M., & An, J. (2020). Guest editors’ introduction (Vol. 30, No. 7). International Journal of Software Engineering and Knowledge Engineering, 30(07), 895-899. https://doi.org/10.1142/S0218194020020039

Editorial

An integration of train timetabling, platforming and routing-based cooperative adjustment methodology for dealing with train delay (2020)
Journal Article
Zhang, Y., Chen, Z., An, M., & Umar, A. (2020). An integration of train timetabling, platforming and routing-based cooperative adjustment methodology for dealing with train delay. International Journal of Software Engineering and Knowledge Engineering, 30(07), 901-919. https://doi.org/10.1142/S0218194020400112

Train delay is a serious issue that can spread rapidly in the railway network leading to further delay of other trains and detention of passengers in stations. However, the current practice in the event of the trail delay usually depends on train dis... Read More about An integration of train timetabling, platforming and routing-based cooperative adjustment methodology for dealing with train delay.

Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for overcrowding level risk assessment in railway stations (2020)
Journal Article
Alawad, H., An, M., & Kaewunruen, S. (2020). Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for overcrowding level risk assessment in railway stations. Applied Sciences, 10(15), e5156. https://doi.org/10.3390/app10155156

The railway network plays a significant role (both economically and socially) in assisting the reduction of urban traffic congestion. It also accelerates the decarbonization in cities, societies and built environments. To ensure the safe and secure o... Read More about Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for overcrowding level risk assessment in railway stations.

A deep learning approach towards railway safety risk assessment (2020)
Journal Article
Alawad, H., Kaewunruen, S., & An, M. (2020). A deep learning approach towards railway safety risk assessment. IEEE Access, 9(2020), 1-23. https://doi.org/10.1109/ACCESS.2020.2997946

Railway stations are essential aspects of railway systems, and they play a vital role in public daily life. Various types of AI technology have been utilised in many fields to ensure the safety of people and their assets. In this paper, we propose a... Read More about A deep learning approach towards railway safety risk assessment.

Bayesian network-based human error reliability assessment of derailments (2020)
Journal Article
Dindar, S., Sakdirat, K., & An, M. (2020). Bayesian network-based human error reliability assessment of derailments. Reliability Engineering and System Safety, 197, 106825. https://doi.org/10.1016/j.ress.2020.106825

The knowledge acquired in relation to failures associated with components has made significant contributions to the development of components with increased reliability, as well as a reduction in the number of rail incidents caused by certain system... Read More about Bayesian network-based human error reliability assessment of derailments.