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This study introduces two optimized models based on the ConvLSTM cell with an Encoder-Decoder structure to enhance forecasting performance. Using seven years of historical data, the model provides ...
To solve this problem, this study proposes a novel multi-step wind power forecasting model based on an encoder-decoder architecture. It incorporates a multi-frequency attention mechanism into a ...
Our goal is to build a global biotech leader by leveraging strategic partnerships while advancing our own portfolio." "Our BD+VC model is designed to create sustainable value for investors and ...
It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM ...
from raw stroke data to prediction. Includes data preprocessing and feature‐engineering scripts, three Bayesian classifiers alongside Logistic Regression, SVM, K-NN and XGBoost baselines, and an RNN ...