Results 1 to 10 of about 11,817,987 (217)
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
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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
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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
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
COMPUTER SIMULATION MODEL OF A COMPUTER NETWORK WITH FRACTAL TRAFFIC FOR TESTING ROUTING ALGORITHMS
Сучасні інформаційні системи, 2022 The object of research in this article is simulation modeling of a computer network and the process of traffic routing. The relevance of the research is due to the importance of ensuring the quality of service in computer networks, in particular ...
Hanna Drieieva +3 more
doaj +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
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
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Annals of Physics, 2005 LateX, 77 pages,23 figures; to appear in Annals of ...
MARZUOLI, ANNALISA, Rasetti Mario
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A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS [PDF]
Machine Learning and Knowledge Extraction, 2023 YOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications. We present a comprehensive analysis of YOLO’s evolution, examining the innovations and contributions in each iteration from the ...
Juan R. Terven +2 more
semanticscholar +1 more source