Um modelo de redes autoassociativas empilhadas para detectar faltas em transformadores de potência
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Updated
Oct 9, 2021 - MATLAB
Um modelo de redes autoassociativas empilhadas para detectar faltas em transformadores de potência
Domain generation algorithm based on stock prices
RAMPAGE is a framework aimed at training and comparing machine learning models for the detection of Algorithmically Generated Domains.
heiDGAF - a machine learning based DNS inspector to detect DGAs in the wild!
Domain Generation Algorithm developed with Google Trends
dga domain detected by lstm model
This repository hosts specifications for data disclosure agreements as part PS-SDA project in NGI-ONTOCHAIN. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957338.
A simple yet accurate machine learning model to detect the DGA (Domain Generational Algorithm).
DGAterms - A vocabulary to describe information flows in the Data Governance Act (DGA)
Domain Generation Algorithm official repository. Please visit the WIKI page for more information
Domain Generation Algorithms (DGAs) using traitional machine learning and deep learning
Transformer Fault Type Prediction using DGA data.
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