Detection of Aircraft Lightning Strike Risk Regions Using a Support Vector Machine

Eiichi Yoshikawa

Presentation information

[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS26] Atmospheric electricity and application of technology for forecasting and reducing disaster risks

Tue. May 26, 2026 10:45 AM - 12:15 PM 103 (International Conference Hall, Makuhari Messe)

Chairperson:Akita Manabu(The University of Electro-Communications)

10:45 AM - 11:00 AM

[MIS26-07] Detection of Aircraft Lightning Strike Risk Regions Using a Support Vector Machine

★Invited Papers

*Eiichi Yoshikawa^1,2,3, Shoichi Horishita², Yoshiro Hamada², Tomoo Ushio¹, V. Chandrasekar³ (1. The University of Osaka, 2. Japan Aerospace Exploration Agency, 3. Colorado State University)

Keywords:Aircraft lightning strike, Machine learning

« Previous in this session
Next in this session »

▲