GitHub4y
Deep Self-Supervised Representation Learning for Free-Hand Sketch
Our hardware environment: 2 Intel(R) Xeon(R) CPUs (E5-2620 v3 @ 2.40GHz), 128 GB RAM, 4 GTX 1080 Ti GPUs. All the following codes can run on single GTX 1080 Ti GPU. We use Quick, Draw dataset for our ...
GitHub1y
Encoder-decoder TCN Covertype dataset 11142019.ipynb
"# df['Soil_Type_32'] = StandardScaler().fit_transform(df['Soil_Type_32'].values.reshape(-1, 1))\n", "# df['Hor2FirePt'] = StandardScaler().fit_transform(df ...
IEEE10d
Federated Learning-Enhanced Edge Deep Learning Model for EMG-Based Gesture Recognition in Real-Time Human-Robot Interaction
A comparative analysis with other deep learning models, such as Multi Convolutional Residual Networks (MCRN),Multi Convolutional Neural Networks (MCNN), Temporal Convolutional Networks (TCN), and ...
pv magazine International3mon
Ultra-short-term PV power forecast based on dung beetle algorithm
Researchers have developed a novel deep-learning method to predict ultra ... temporal convolutional network (TCN); hybrid of CNN-BiLSTM; hybrid of TCN-BiLSTM, SATCN-BiLSTM with particle swarm ...
IEEE20d
Oil Spill Drift Prediction Enhanced by Correcting Numerically Forecasted Sea Surface Dynamic Fields with Adversarial Temporal Convolutional Networks
To enhance the performance of oil spill drift prediction, we propose a deep learning-based approach to correcting ... consisting of a temporal convolutional network (TCN)-based corrector and a ...