Two ResNet Mini Architectures for Aircraft Wake Vortex Identification
The identification of aircraft wake vortex is an essential issue in the operation of airspace utilization ratio. In particular, accurately identifying wake vortex in fine classification is helpful to guide separation standards under realistic airport conditions that consist of various complex operat...
Main Authors: | Siyuan Duan, Weijun Pan, Yuanfei Leng, Xiaolei Zhang |
---|---|
Format: | Article |
Sprog: | English |
Udgivet: |
IEEE
2023-01-01
|
Serier: | IEEE Access |
Fag: | |
Online adgang: | https://ieeexplore.ieee.org/document/10054052/ |
Lignende værker
-
Recognition of Aircraft Wake Vortex Based on Random Forest
af: Weijun Pan, et al.
Udgivet: (2022-01-01) -
Rapid Aircraft Wake Vortex Identification Model Based on Optimized Image Object Recognition Networks
af: Leilei Deng, et al.
Udgivet: (2024-10-01) -
YOLOv8n–CBAM–EfficientNetV2 Model for Aircraft Wake Recognition
af: Yuzhao Ma, et al.
Udgivet: (2024-09-01) -
Vehicle Detection and Tracking with Roadside LiDAR Using Improved ResNet18 and the Hungarian Algorithm
af: Ciyun Lin, et al.
Udgivet: (2023-09-01) -
A ResNet mini architecture for brain age prediction
af: Xuan Zhang, et al.
Udgivet: (2024-05-01)