We present a novel way of extracting features from short texts, based on the activation values of an inner layer of a deep convolutional neural network. We use the extracted features in multimodal sentiment analysis of short video clips representing one sentence each. We use the combined feature vectors of textual, visual, and audio modalities to train a classifier based on multiple kernel lear...

Compared to common DoS/DDoS attacks that are destructive and generate massive traffic, the application layer DoS attacks can be slow-and-low which means they occur at a slow rate and do not generate a massive amount of traffic. These attacks appear legitimate in terms of the protocol rules and rates. These characteristics make the detection of these attacks difficult. In this paper, we study th...

Abstract- With the advancement and development of computer network technologies, the way for intruders has become smoother; therefore, to detect threats and attacks, the importance of intrusion detection systems (IDS) as one of the key elements of security is increasing. One of the challenges of intrusion detection systems is managing of the large amount of network traffic features. Removing un...

Background: We designed an algorithmic model based on the logistic regression analysis and a non-algorithmic model based on the Artificial Neural Network (ANN). Materials and methods: The ability of these models was compared together in clinical application to differentiate malignant from benign breast tumors in a study group of 161 patients' records. Each patient’s record consisted of 6 subjec...

This research involves the integration of fuzzy entropies (used in the context of measuring uncertainty and information) with computational neural networks. An algorithm for the creation and manipulation of fuzzy entropies, extracted by a neural network from a data set, is designed and implemented. The neural network is used to find patterns in terms of structural features and properties that c...

Over the last decade, Bitcoin has revolutionized global economic and technological landscape, inspiring a new generation of blockchain-based technologies. Its protocol is today among most influential for cryptocurrencies distributed networks. In particular, P2P layer represents reference point all permissionless blockchains, which often implement its solutions in their network layer. Unfortunat...

In content-based image retrieval (CBIR), content of an image can be expressed in terms of different features such as color, texture, shape, or text annotations. Retrieval based on these features can be various by the way how to combine the feature values. Most of the existing approaches assume a linear relationship between different features, and the usefulness of such systems was limited due t...

Scene categorization to indoor vs outdoor may be approached by using low-level features for inferring high-level information about the image. Low-level features such as color and texture have been used extensively in image understanding research, however, they cannot solve the problem completely. In this paper, we propose the use of a Bayesian network for integrating knowledge from low-level an...

Distribution of magnetic fields in the quiet-Sun internetwork areas has been affected by weak polarization (in particular Stokes Q and U) signals. To improve the signal-to-noise ratio (SNR) of the weak polarization signals, several approaches, including temporal integrations, have been proposed in the literature. In this study, we aim to investigate a proper temporal-integration time with which...

89 Abstract— This paper investigates the performance of a multiresolution technique and statistical features for facial expression recognition using Haar wavelet transform. Multiresolution was conducted up to fifth level of decomposition. Six statistical features namely variance, standard deviation, mean, power, energy and entropy were derived from the approximation coefficients for each level ...