This repository focuses on a masked autoencoder based on a Convolutional Neural Network (CNN). Initially, it is used for self-supervised ... In the first stage, the model masks the input image and ...

CNN-2D, CNN-2D with autoencoder, LSTM, and LSTM with autoencoder were developed and compared. CNN-2D model reached 0.72 of overall accuracy while CNN-2D with autoencoder reached only 0.65. LSTM models ...

Abstract: With the increasing integration of renewable energy sources into the power grid, accurate and reliable ultra-short-term forecasting of wind power is critical for optimizing grid stability ...

GRU-AEと比較した性能向上は見込めませんでした． This is a video reconstruction model that combines 3D-CNN and encoder-decoder model. lib.pyのParseGRU()内の初期化メソッド，dataset変数に， 上記のdatasetが格納された ...