Existing security scoring methods are expensive to implement, lack management orientation and are “best practice” based, and thus have only transient meaning. This paper proposes a web application security assessment method based on a security scoring vector (S-vector). The S-vector assessment method would be used by IT administrators to manage security of their web applications. It shares some...

We propose an image hashing algorithm that is based on distributed compression principles. The algorithm assumes the availability of a robust feature vector extracted from the image. Then a suitable dither sequence is added to this feature vector, and the resulting dithered feature vector is compressed using distributed compression principles. We prove that the dither sequence can be used to gu...

background: an epidemiological study was carried out on the vector(s) and reservoir(s) of cutaneous leishmaniasis in rural areas of kalaleh district, golestan province during 2006 - 2007. methods: totally 4900 sand flies were collected using sticky papers and were subjected to molecular methods for de­tection of leishmanial parasite. results: phlebotomus papatasi was the common species in outdo...

there is growing evidence that lectin-carbohydrate interactions can mediate the infection of parasites to their insect vector. many insect species are host or vectors of protozoan or metazoan parasites that cause socially and economically important disease such as malaria and leishmaniasis. however, relatively little work has been undertaken concerning the interaction of insect immunity against...

Dengue fever and Chagas disease are important public health problems in Latin America. Dengue is a re-emerging viral disease, mainly transmitted by Aedes aegyptii mosquitoes, leading to an increasing number of outbreaks notably in urban areas of the continent. Chagas disease, a parasitic disease transmitted by Triatomine bugs, is a major cause of morbidity and mortality among the continent’s ru...

In competitive consumer markets, data mining for customer relationship management faces the challenge of systematic knowledge discovery in large data streams to achieve operational, tactical and strategic competitive advantages. Methods from computational intelligence, most prominently artificial neural networks and support vector machines, compete with established statistical methods in the do...

In this paper, we propose a method for automatically detecting various types of snore sounds using image classification convolutional neural network (CNN) descriptors extracted from audio file spectrograms. The descriptors, denoted as deep spectrum features, are derived from forwarding spectrograms through very deep task-independent pre-trained CNNs. Specifically, activations of fully connected...

Acoustic scene recordings are represented by different types of handcrafted or Neural Network-derived features. These features, typically of thousands of dimensions, are classified in state of the art approaches using kernel machines, such as the Support Vector Machines (SVM). However, the complexity of training these methods increases with the dimensionality of these input features and the siz...