In this paper, three algorithms are applied to obtain the parameters of Radial Basis Function
(RBF) kernels of Support Vector Machines (SVM), which include: PSO (Particle Swarm …

In this paper, two historical data-driven weight calculation approaches including Entropy
Weight Method (EWM) and Scatter Degree Method (SDM), are applied and compared to …

In this paper, an Interpretive Structural Modeling (ISM) and Bayesian Network (BN)
combining approach is applied to analyze the relationships and interaction strengths among …

There remains a lack of applied research on risk assessment technology in the safety
analysis of the railway signaling system, and the research method in the existing literature …

Accidents continue to be the major concern in the railway industry, and human factors have
been proved to be the prime causes to railway accidents. In this paper, the Human Factors …

Although, the usefulness of the machine learning (ML) technique in predicting future
outcomes has been established in different domains of applications (eg, heath care), its …

The prediction of traffic accidents is one of most important issues in our life. In the prediction
of traffic accidents, a GIS platform to extract the important features including day …

Risk management is becoming increasingly important for railway companies in order to
safeguard their passengers and employees while improving safety and reducing …

With the development of human society, the shortcomings of the existing transportation
system become increasingly prominent, so people hope to use advanced technology to …

Security and privacy of a system is compromised, when an intrusion happens. Intrusion
Detection System (IDS) plays vital role in network security as it detects various types of …