Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 137, С. 109172 - 109172
Опубликована: Авг. 27, 2024
Язык: Английский
Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 137, С. 109172 - 109172
Опубликована: Авг. 27, 2024
Язык: Английский
Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 143, С. 110106 - 110106
Опубликована: Янв. 20, 2025
Язык: Английский
Процитировано
1Atmosphere, Год журнала: 2025, Номер 16(3), С. 294 - 294
Опубликована: Фев. 28, 2025
The habits of cloud particles are a significant factor impacting microphysical processes in clouds. accurate identification particle shapes within clouds is fundamental requirement for calculating various parameters. In this study, we established image dataset encompassing nine distinct habit categories, totaling 8100 images. These images were captured using three probes with varying resolutions: the Cloud Particle Imager (CPI), Two-Dimensional Stereo Probe (2D-S), and High-Volume Precipitation Spectrometer (HVPS). Furthermore, study performs comparative analysis ten different transfer learning (TL) models based on dataset. It was found that VGG-16 model exhibits highest classification accuracy, reaching 97.90%. This also demonstrates recall, precision, F1 measure. results indicate can reliably classify ice crystal measured by both line scan imagers (2D-S, HVPS) an area imager (CPI).
Язык: Английский
Процитировано
0Опубликована: Янв. 10, 2025
Язык: Английский
Процитировано
0Lecture notes in computer science, Год журнала: 2025, Номер unknown, С. 207 - 224
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 137, С. 109172 - 109172
Опубликована: Авг. 27, 2024
Язык: Английский
Процитировано
1