[HTML][HTML] Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks
Cyclone track forecasting is a critical climate science problem involving time-series
prediction of cyclone location and intensity. Machine learning methods have shown much …
prediction of cyclone location and intensity. Machine learning methods have shown much …
Tropical Cyclone prediction based on multi-model fusion across Indian coastal region
Tropical cyclone prediction is essential to limit death toll and damage caused by them. In this
paper, a model has been formulated to classify the cyclone as no cyclone, minimal …
paper, a model has been formulated to classify the cyclone as no cyclone, minimal …
Neural network modeling based on the bayesian method for evaluating shipping mitigation measures
Climate change caused by greenhouse gas emissions is of critical concern to international
shipping. A large portfolio of mitigation measures has been developed to mitigate ship gas …
shipping. A large portfolio of mitigation measures has been developed to mitigate ship gas …
Multi-Step Prediction of Typhoon Tracks Combining Reanalysis Image Fusion Using Laplacian Pyramid and Discrete Wavelet Transform with ConvLSTM
P Lu, M Xu, M Chen, Z Wang, Z Zheng, Y Yin - Axioms, 2023 - mdpi.com
Typhoons often cause huge losses, so it is significant to accurately predict typhoon tracks.
Nowadays, researchers predict typhoon tracks with the single step, while the correlation of …
Nowadays, researchers predict typhoon tracks with the single step, while the correlation of …