Publications by authors named "Thabatta Moreira Alves de Araujo"
PeerJ Comput Sci
August 2024
Article Synopsis
- Most natural disasters, like landslides, cause significant environmental and financial damage, making effective monitoring of geotechnical structures essential.
- Traditional visual inspections are often risky due to unstable soil conditions, prompting the need for safer, tech-based evaluation methods.
- This study employs a convolutional neural network (CNN) with UAV and mobile devices to accurately detect surface defects in geotechnical structures, achieving a high accuracy rate of 94.26% and demonstrating strong potential for improving disaster prevention efforts.
