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We propose a Wavelet based Deep Emotion Recognition (WaDER) method using an autoencoder and 1D convolutional neural network (CNN) and long short-term memory (LSTM) networks. The autoencoder is used to ...
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 ...
Contribute to Krishna4311/Image-Recommendation-Using-CNN-Autoencoder-Embeddings-on-Fashion-MNIST development by creating an account on GitHub.
Optimized CNN and CRNN for Advanced Classification and Regression This repository contains the implementation for my third major project, "Optimized CNN and CRNN for Advanced Classification and ...
Deep Learning Model A one-dimensional convolutional neural network (1D-CNN) was used to pretrain the deep learning model on artificial spectra; this pretrained model is hereafter referred to as SimNet ...
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