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Parkinson's disease (PD) and essential tremor (ET) are two kinds of tremor disorders which always confusing doctors in clinical diagnosis. Early experiments have already shown that Parkinson's disease can cause pathological changes in the brain region named Caudate_R (a part of Basal ganglia) while essential tremor cannot. Although there are many research work on the classification of PD and ET, they...
This paper proposes an intelligent model for detection of phishing emails which depends on a preprocessing phase that extracts a set of features concerning different email parts. The extracted features are classified using the J48 classification algorithm. We experimented with a total of 23 features that have been used in the literature. Ten-fold cross-validation was applied for training, testing...
Labeling malware samples with their appropriate malware family helps understand and track malware evolution and develop mitigation techniques. Current malware analysis techniques that use supervised machine learning rely on classification models that are trained on malware traffic generated from a sandbox environment. These models are then used to classify future unseen observations. In practice,...
The web has become a platform that attackers exploit to infect vulnerable hosts, or deceive victims into buying rogue software. To accomplish this, attackers either inject malicious scripts into popular web sites or manipulate content delivered by servers to exploit vulnerabilities in users' browsers. To hide malware distribution servers, attackers employ HTTP redirections, which automatically redirect...
It is well known that the variability model, which captures the commonality and variability of the software product families, is very important to the software product line. Current software product line variability modeling methods relies on the analysis ability of the domain analysts heavily. When the single system of product families is large, it will be difficult to establishing the variability...
The importance of the relationship between the software variability and defect proneness of software modules is well recognized. The utilization of variability can strengthen the software versatile, but as the software variability increases, the software complexity can increase correspondingly. Most variability realization techniques are based on configuration, and that the variability realization...
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