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 ...

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 ...

In 2018, Christie’s held its first auction for a work of art produced by artificial intelligence (AI), which sold for $432,500. But Hong Kong-based cross-media artist Victor Wong didn’t think ...

This project implements the 1D-JustoLiuNet for classification tasks on hyperspectral satellite image captures from the HYPSO-2 satellite. The 1D-JustoLiuNet model is based on recent work by Justo et ...

End-to-end learning of the communication system regards the transmitter, channel, and receiver as a neural network-based autoencoder. This approach enables j ...