Stock ranking prediction is an effective method for screening high investment value stocks in
the future and can strongly assist investors in making decisions. However, this task is also …

Reducing sailing costs, time and emissions are three important decision-making objectives
for ship operators. In this paper, a multi-objective decision model for liner shipping is …

The performance of classification methods, such as Support Vector Machines, depends
heavily on the proper choice of the feature set used to construct the classifier. Feature …

Ubiquitous computing provides convenient and fast information distribution service by using
sensor nodes and wireless network, and a good household appliance recognition system …

A three-layer weighted fuzzy support vector regression (TLWFSVR) model is proposed for
understanding human intention, and it is based on the emotion-identification information in …

An intention understanding model based on two-layer fuzzy support vector regression is
proposed in human–robot interaction, where fuzzy c-means clustering is used to classify the …

The use of cellular automata (CA) has for some time been considered among the most
appropriate approaches for modeling land‐use changes. Each cell in a traditional CA model …

In landmark-based way-finding, determining the most salient landmark from several
candidates at decision points is challenging. To overcome this problem, current approaches …

Feature selection is a powerful tool to identify the important characteristics of data for
prediction. Feature selection, therefore, can be a tool for avoiding overfitting, improving …

Rank-oriented software defect prediction (ROSDP) aims to establish a model to predict the
testing priority of software modules according to defect severity for the reasonable allocation …