Léonard Seydoux

Peridynamic-driven feature-enhanced Vision Transformer for predicting defects and heterogeneous materials locations: Applications of deep learning in inverse problems

Predicting stomatal conductance of chili peppers using TPE-optimized LightGBM and SHAP feature analysis based on UAVs’ hyperspectral, thermal infrared imagery, and meteorological data

An Adaptable Random Forest Model for the Declustering of Earthquake Catalogs

Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning