During the last two decades, a substantial amount of research efforts has been intended for
support vector machine at the application of various data mining tasks. Data Mining is a …

Predictive maintenance (PdM) is a technique that employs data-driven analysis to detect
anomalous working conditions and predict future failure risks of assets. Despite wide …

The unprecedented growth in data generation has necessitated the adoption of advanced
analytical techniques. Support Vector Machine (SVM) is a powerful machine learning tool …

Abstract The Support Vector Machine (SVM) method is one of the popular machine learning
algorithms as it gives high accuracy. However, like most machine learning algorithms, the …

Present scenario of the remote sensing domain deals with how to utilize the data for different
purposes like classification, target detection, disaster management, change detection, flood …

Abstract In this study Support Vector Machine (SVM) is employed to develop a model to
estimate process output variables of an industrial natural gas sweetening plant. The …

Removal of sour gases such as carbon dioxide (CO 2) and hydrogen sulfide (H 2 S) is of
great importance in various processes such as streams of sour natural gas, production of …

The travel mood perception can significantly affect passengers' mental health and their
overall emotional wellbeing when taking transport services, especially in long-distance …

As a support vector machine (SVM) has good generalization ability, it has been
implemented in various applications. Yet in the process of resolving the mathematical …

Face recognition is an important aspect of the biometric surveillance system. Generally, face
recognition is a type of biometric system that can identify a specific individual by analyzing …