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Model of Threats to Computer Network Software
Symmetry, 2019 This article highlights the issue of identifying information security threats to computer networks. The aim of the study is to increase the number of identified threats. Firstly, it was carried out the analysis of computer network models used to identify
Aleksey Novokhrestov +2 more
exaly +2 more sources
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP) [PDF]
International Journal of Computer Networks & Communications, 2021 Machine learning (ML) and Deep Learning (DL) methods are being adopted rapidly, especially in computer network security, such as fraud detection, network anomaly detection, intrusion detection, and much more.
Khushnaseeb Roshan, Aasim Zafar
semanticscholar +1 more source
The Value Orientation of Electronic Commerce Law Based on Computer Network [PDF]
MATEC Web of Conferences, 2022 In the era of legal globalization, e-commerce platform increasingly mature environment, in order to better meet the practical requirements of e-commerce activities, in the process of e-commerce legislation, practice, should always adhere to the value ...
Qin Di, Mu Zhaonan, Yue Sijialu
doaj +1 more source
Computation in Complex Networks [PDF]
Entropy, 2021 The Special Issue on “Computation in Complex Networks” focused on gathering highly original papers in the field of current complex network research [...]
Pizzuti C, Socievole A
openaire +5 more sources
Construction of Computer Network Security System in the Era of Big Data
American Control Conference, 2023 Computer network security is one of the important factors affecting the development of computer technology. Analyzing and exploring computer network security in the era of big data is conducive to achieving effective protection of data information.
Y. Lin
semanticscholar +1 more source
DeepCAD: A Deep Generative Network for Computer-Aided Design Models [PDF]
IEEE International Conference on Computer Vision, 2021 Deep generative models of 3D shapes have received a great deal of research interest. Yet, almost all of them generate discrete shape representations, such as voxels, point clouds, and polygon meshes.
Rundi Wu, Chang Xiao, Changxi Zheng
semanticscholar +1 more source
Congestion Avoidance and Control in Internet Router Based on Fuzzy AQM [PDF]
Engineering and Technology Journal, 2021 The internet has made the world a little community, linking millions of people, organizations, and equipment for different purposes. The great impact of these networks in our lives makes their efficiency a vital matter to take care of, and this needs ...
Hanan M. Kadhim, Ahmed A. Oglah
doaj +1 more source
Price Method and Network Congestion Control
Journal of Telecommunications and Information Technology, 2023 Price instruments are useful in achieving market balance conditions in various markets. Those instruments can be also used for control of other composite systems.
Krzysztof Malinowski +2 more
doaj +1 more source
Development of Augmented Reality Application for Learning Computer Network Device
International Journal of Interactive Mobile Technologies, 2021 Applied augmented reality works by detecting imageries or pictures, normally called markers, by using smartphone camera that detects these preplaced markers. Augmented reality has seen wide application in various fields, one of them is education.
M. L. Hamzah +5 more
semanticscholar +1 more source
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces [PDF]
Journal of Neural Engineering, 2016 Objective. Brain–computer interfaces (BCI) enable direct communication with a computer, using neural activity as the control signal. This neural signal is generally chosen from a variety of well-studied electroencephalogram (EEG) signals. For a given BCI
Vernon J. Lawhern +5 more
semanticscholar +1 more source