Classification of ductile cast iron specimens based on image analysis and support vector machine

Classification of transformer faults using frequency response analysis based on cross-correlation technique and support vector machine

One of the most important methods for transformers fault diagnosis (especially mechanical defects) is the frequency response analysis (FRA) method. The most important step in the FRA diagnostic process is to differentiate the faults and classify them in different classes. This paper uses the intelligent support vector machine (SVM) method to classify transformer faults. For this purpose, two gr...

Malware Image Analysis and Classification using Support Vector Machine

The malware is one of the major concerns in computer and cyber security. The availability of various malware toolkits and internet popularity that has led to the increase in number of malware attacks day to day. Comparing with existing framework of antivirus scanners they currently used signature based a malware detection technique which is widely. In this paper, we propose an efficient framewo...

Acoustic detection of apple mealiness based on support vector machine

Mealiness degrades the quality of apples and plays an important role in fruit market. Therefore, the use of reliable and rapid sensing techniques for nondestructive measurement and sorting of fruits is necessary. In this study, the potential of acoustic signals of rolling apples on an inclined plate as a new technique for nondestructive detection of Red Delicious apple mealiness was investigate...

Modeling and design of a diagnostic and screening algorithm based on hybrid feature selection-enabled linear support vector machine classification

Background: In the current study, a hybrid feature selection approach involving filter and wrapper methods is applied to some bioscience databases with various records, attributes and classes; hence, this strategy enjoys the advantages of both methods such as fast execution, generality, and accuracy. The purpose is diagnosing of the disease status and estimating of the patient survival. Method...

Contextual image classification with Support Vector Machine