Search Results for author:
Found 6 papers, 1 papers with code
Fast QTMT Partition for VVC Intra Coding Using U-Net Framework
Experimental results demonstrate that our solution outperforms the state-of-the-art works with a complexity reduction of 44. 74% to 68. 76% and a BD-BR increase of 0. 60% to 2. 33%.
Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem model
In this study, we extend a deep learning (DL) model, which could predict the heave and surge motions of a floating semi-submersible 20 to 50 seconds ahead with good accuracy, to quantify its uncertainty of the predictive time series with the help of the dropout technique.
Predicting heave and surge motions of a semi-submersible with neural networks
With the help of measured waves, the prediction extended 46. 5 s into future with an average accuracy close to 90%.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
