CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
A LaTeX document class for lecture notes (for a seminar, for an entire course with several lectures, or for brief talks) that looks great and works even with basic pdflatex.
In the paper, a distinct subset of cryptographic algorithms & opcodes were correlated which resulted in our model achieving 96% accuracy. It would be advantageous to explore different settings which could further improve accuracy / generalization:
Trial different feature engineering techniques.
Build more datasets with a different number of embeddi
This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.
Este repositorio debe ser el punto de partida y encuentro para cualquier investigador o estudiante que quiera comenzar a trabajar con/en la UIBCDF. Si has caído aquí por otro motivo y este material te es útil, eres más que bienvenido a usarlo e interaccionar con nosotros.
In the paper, a distinct subset of cryptographic algorithms & opcodes were correlated which resulted in our model achieving 96% accuracy. It would be advantageous to explore different settings which could further improve accuracy / generalization: