11 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 11 cited
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery
Irene Alisjahbana, Jiawei Li, Ben +2
Satellite imagery has played an increasingly important role in post-disaster building damage assessment. Unfortunately, current methods still rely on manual visual interpretation,…
eess.SP2024★ 1 cited
Using In-Service Train Vibration for Detecting Railway Maintenance Needs
Irene Alisjahbana
The need for the maintenance of railway track systems have been increasing. Traditional methods that are currently being used are either inaccurate, labor and time intensive, or do…