FCT (DCEA) - Mestrado em Engenharia Informática
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Browsing FCT (DCEA) - Mestrado em Engenharia Informática by advisor "Silva, Vítor Emanuel Marta da"
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- Machine learning for earthquake damage detection: a comparative analysis of algorithm performancePublication . Costa, André Manuel Alves; Gouveia, Feliz Ribeiro; Silva, Vítor Emanuel Marta daThis work aims to analyse and improve the results of machine learning algorithms for estimating damage in buildings following an earthquake, thus enabling rapid post-earthquake assessment to prevent further physical, economic and social damage. Using real datasets, nine algorithms were tested and compared: Ridge Regressor, Lasso Regressor, Support Vector Regressor, Decision Tree, Random Forest, Gradient Boost, Extreme Gradient Boost, Artificial Neural Networks and Multi-layer Perceptron. The key findings of the research resulted in the demonstration of the importance of dataset practicality, while encompassing heterogeneity of buildings, and highlights the positive impact of data transformation on algorithm performance when compared to previous research papers lacking such transformations. Furthermore, it was concluded that the Artificial Neural Network algorithm consistently outperforms others, justifying its academic and practical preference despite the longer training times and reaffirming its significance in earthquake damage prediction. It was possible to assess that other algorithms such as Gradient Boost, Extreme Gradient Boost and Random Forest are acceptable, practical, understandable and reliable alternatives. These findings contribute to the advance of earthquake engineering and highlight the potential of Machine Learning in post-earthquake risk mitigation.