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Mar 30, 2024 · Typhoon. Conference Paper. Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction. December 2023. DOI:10.1109 ...
“Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction” is a paper by Longjie Li Yanmin Zhu Han Zhang Mengyuan Jing Haoyu Zhang ...
Article "Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction" Detailed information of the J-GLOBAL is an information service ...
May 3, 2024 · This study proposed hybrid convolutional neural networks (hybrid-CNN), which effectively combined satellite-based spatial characteristics and ...
Missing: Spin | Show results with:Spin
A typhoon intensity prediction model called Multi-scale Spin Convolutional Neural Network (MS-CNN), which rotates the convolution kernel approximately to ...
The section introduces the existing typhoon intensity estimation method based on deep neural networks and the widely used attention mechanism. Proposed methods.
Missing: scale Spin
Several studies have employed a conventional CNN model or multidimensional CNN (2D/3D) to estimate tropical cyclone intensity, which obtains a small root-mean- ...
Missing: Spin | Show results with:Spin
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May 12, 2022 · In this study, deep convolutional neural network (CNN) models of stimulated tropical cyclone intensity (TCI), minimum central pressure (MCP) ...
Dec 4, 2023 · Predicting typhoon intensity accurately across space and time is crucial for issuing timely disaster warnings and facilitating emergency ...
Jan 19, 2024 · In this study, we used a convolutional neural network (CNN) model to estimate TC intensity in the western North Pacific using Geo-KOMPSAT-2A ( ...
Missing: Spin | Show results with:Spin