Deep learning assisted XRF spectra classification

V Andric, G Kvascev, M Cvetanovic, S Stojanovic… - Scientific Reports, 2024 - nature.com
EDXRF spectrometry is a well-established and often-used analytical technique in examining
materials from which cultural heritage objects are made. The analytical results are …

[HTML][HTML] Enhancing Long-Term Flood Forecasting with SageFormer: A Cascaded Dimensionality Reduction Approach Based on Satellite-Derived Data

F Ghobadi, AS Tayerani Charmchi, D Kang - Remote Sensing, 2025 - mdpi.com
Floods, increasingly exacerbated by climate change, are among the most destructive natural
disasters globally, necessitating advancements in long-term forecasting to improve risk …

ADVANCED MACHINE LEARNING TECHNIQUES FOR SEISMIC ANOMALY DETECTION IN INDONESIA: A COMPARATIVE STUDY OF LOF, ISOLATION FOREST …

G Airlangga - Jurnal Lebesgue: Jurnal Ilmiah …, 2024 - lebesgue.lppmbinabangsa.id
This study presents a comprehensive comparison of three machine learning algorithms for
anomaly detection within seismic data, focusing on the unique geographical and geological …