APT Attack Detection Based on Graph Convolutional Neural NetworksInternational Journal of Computational Intelligence Systems - Tập 16 - Trang 1-14 - 2023
Weiwu Ren, Xintong Song, Yu Hong, Ying Lei, Jinyu Yao, Yazhou Du, Wenjuan Li
Advanced persistent threat (APT) attacks are malicious and targeted forms of cyberattacks that pose significant challenges to the information security of governments and enterprises. Traditional detection methods struggle to extract long-term relationships within these attacks effectively. This paper proposes an APT attack detection model based on graph convolutional neural networks (GCNs) to addr...... hiện toàn bộ
Unsupervised Ensemble Learning Improves Discriminability of Stochastic Neighbor EmbeddingInternational Journal of Computational Intelligence Systems - Tập 16 Số 1
Jian Wang, Hui Zhao, Yinghui Zhang, Hongjun Wang, J. Guo
AbstractThe purpose of feature learning is to obtain effective representation of the raw data and then improve the performance of machine learning algorithms such as clustering or classification. Some of the existing feature learning algorithms use discriminant information in the data to improve the representation of data features, but the discrimination of the dat...... hiện toàn bộ
Incident Duration Prediction Based on Latent Gaussian Naive Bayesian classifierInternational Journal of Computational Intelligence Systems - Tập 4 - Trang 345-352 - 2011
Dawei Li, Lin Cheng, Jiangshan Ma
The probability distribution of duration is a critical input for predicting the potential impact of traffic incidents. Most of the previous duration prediction models are discrete, which divide duration into several intervals. However, sometimes the continuous probability distribution is needed. Therefore a continuous model based on latent Gaussian naive Bayesian (LGNB) classifier is developed in ...... hiện toàn bộ
Interval Type-2 Mutual Subsethood Cauchy Fuzzy Neural Inference System (IT2MSCFuNIS)International Journal of Computational Intelligence Systems -
Hesham A. Hefny, Nelly S. Amer
AbstractAn interval type-2 (IT2) mutual subsethood Cauchy fuzzy neural inference system has been proposed in this paper. The network architecture consists of 3-layers with all connection weights being IT2 Cauchy fuzzy membership functions (CMFs). The crisp inputs to the system are fuzzified into IT2CMFs with fixed centers and uncertain spreads. The hidden layer rep...... hiện toàn bộ
Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian StocksInternational Journal of Computational Intelligence Systems - Tập 8 - Trang 1004-1016 - 2015
D. K. Bebarta, Birendra Biswal, P. K. Dash
A low complexity Polynomial Functional link Artificial Recurrent Neural Network (PFLARNN) has been proposed for the prediction of financial time series data. Although different types of polynomial functions have been used for low complexity neural network architectures earlier for stock market prediction, a comparative study is needed to choose the optimal combinations of the nonlinear functions f...... hiện toàn bộ
The Subject Accessibility of Ideological and Political Courses for Electrical and Electronic MajorsInternational Journal of Computational Intelligence Systems - - 2023
Fangyuan Li, Jiting Li
Electronics and electricity are an integral part of reality. With the continuous development of society and social progress, electrical and electronic technology and theory are widely used in many industries. Therefore, in teaching, special attention should be paid to the ideological and political education of electrical and electronic students. With the rapid development of society and the deepen...... hiện toàn bộ