This study aims to explore the trip fuel consumption from a large-scale dataset. To better understand how the multiple variables (e.g., average travel speed, trip distance) influence the trip fuel consumption, we propose the support vector machine (SVM) to learn the relationship between the trip fuel consumption and the corresponding factors. A large-scale GPS and CAN (Controller Area Network) ...

Bankruptcy has long been an important topic in finance and accounting research. Recent headline bankruptcies have included Enron, Fannie Mae, Freddie Mac, Washington Mutual, Merrill Lynch, and Lehman Brothers. These bankruptcies and their financial fallout have become a serious public concern due to huge influence these companies play in the real economy. Many researchers began investigating ba...

Soil moisture content (SMC) is an important parameter that affects tea growth. Reasonable soil improves quality and ensures yield. Therefore, it necessary to regularly monitor the water content. However, traditional prediction algorithm has problems of low accuracy efficiency. This paper constructs evaluates performance a hybrid arithmetic optimization (AOA) support vector machine (SVM) model (...

Objectives: To screen out associated radiological indexes and serological markers based on which assistant diagnosis model was established and then to evaluated their efficacy. Methods: With 260 cases of solitary pulmonary nodules (SPN) confirmed by pathology (145 malignant cases and 115 benign cases) as study subjects, correlative factors of solitary pulmonary nodules were screened out from 9 ...

Previous studies predicted the disulfide bonding patterns of cysteines using a prior knowledge of their bonding states. In this study, we propose a method that is based on the ensemble support vector machine (SVM), with the structural features of cysteines extracted without any prior knowledge of their bonding states. This method is useful for improving the predictive performance of disulfide b...

Long-term streamflow forecasting is crucial to reservoir scheduling and water resources management. However, due to the complexity of internally physical mechanisms in streamflow process and the influence of many random factors, long-term streamflow forecasting is a difficult issue. In the article, we mainly investigated the ability of the Relevance Vector Machine (RVM) model and its applicabil...

In this paper, a new method for classifying electronic nose data in rats wound infection detection based on support vector machine (SVM) and wavelet analysis was developed. Signals of the sensors were decomposed using wavelet analysis for feature extraction and a PSO-SVM classifier was developed for pattern recognition. The sensor array was optimized and model parameters were selected to achiev...