First, the quality of time series data is improved in the preprocessing phase by Differencing (DIFF) or Moving Standard Deviation (MSD). Second, the applied deep learning method is based on an ...

This study presents an integrated framework combining 1D-CNN-LSTM-Autoencoder-based anomaly detection with identity authentication using machine learning classifiers. The 1D-CNN-LSTM Autoencoder ...

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This repository contains the implementation for my third major project, "Optimized CNN and CRNN for Advanced Classification and Regression," developed as part of my application for the Computer Vision ...