Deep learning-based extreme heatwave forecast
Because of the impact of extreme heat waves and heat domes on society and biodiversity,
their study is a key challenge. We specifically study long-lasting extreme heat waves, which …
their study is a key challenge. We specifically study long-lasting extreme heat waves, which …
Delays in reinforcement learning
P Liotet - arXiv preprint arXiv:2309.11096, 2023 - arxiv.org
Delays are inherent to most dynamical systems. Besides shifting the process in time, they
can significantly affect their performance. For this reason, it is usually valuable to study the …
can significantly affect their performance. For this reason, it is usually valuable to study the …
Multivariate multifractal texture DCGAN synthesis: How well does it work? How does one know?
P Abry, V Mauduit, E Quemener, S Roux - Journal of Signal Processing …, 2022 - Springer
In a recent past, Deep Learning emerged as a standard tool in Image Processing, commonly
involved in numerous and various tasks. Notably, Deep Learning has become increasingly …
involved in numerous and various tasks. Notably, Deep Learning has become increasingly …
Attention Based CNN-LSTM Network for Anomaly Pattern Classification of Multivariate Time Series
X Zhang, C Wang, J Zhang, F Lin… - 2022 IEEE 11th Data …, 2022 - ieeexplore.ieee.org
The multivariate time series (MTS) is observed in various fields nowadays so as to monitor
the operating status of equipment like server machines, satellites, engines, etc. Tasks like …
the operating status of equipment like server machines, satellites, engines, etc. Tasks like …