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Detection of Earthquake-Induced Building Damages Using Remote Sensing Data and Deep Learning: A Case Study of Mashiki Town, Japan

IEEE International Geoscience and Remote Sensing Symposium, 2023
Natural disasters cause extensive economic losses every year. Rapid detection of earthquake-induced building damages is crucial for disaster response. Remote sensing (RS) has been widely used to assess the impacts of natural disasters i.e.
M. Salem, Ahmed Gomaa, N. Tsurusaki
semanticscholar   +1 more source

Damages Detection of Aeroengine Blades via Deep Learning Algorithms

IEEE Transactions on Instrumentation and Measurement, 2023
To solve the problem of detecting the damages of aeroengine blades in harsh environments and reduce the aviation safety hazards caused by visual reasons, such as careless observation and delayed reporting of blade damages, the detection model of damages ...
Shuangbao Li, Jing Yu, Hao Wang
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The psychological damages of linguistic racism and international students in Australia

, 2020
Drawing on ethnographic interview data informed by international students in Australia, this study aims to expand the notion of ‘linguistic racism’ through two main traits – ‘ethnic accent bullying’ and ‘linguistic stereotyping.’ ‘Ethnic accent bullying’
Sender Dovchin
semanticscholar   +1 more source

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