Mr Joseph said Australia and PNG were “tied at the hips”, not only by their geographical proximity but by a shared history of hardship and resilience during World War II. “That is why we ...

This article introduces the autoencoder graph ensemble model (AEGEM), a novel ensemble-based framework designed to enhance performance in both endmember extraction and abundance estimation. In the ...

This approach integrates fuzzy theory with autoencoder models to effectively manage noise and outliers in data. The FAE method introduces a feature selection layer that approximates discrete feature ...

It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn normal patterns from your metrics and identify deviations. The system includes scripts for data ...

This project is a Variational Autoencoder (VAE)-based molecular SMILES string generator. It generates molecules composed of CHOH/CH2OH (referred to as A) and CH/CH2/CH3 (referred to as B) repeat units ...

Methods: This study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional ...