Integrating Time Series Decomposition and Deep Learning: A SOO-VMD-CNN-TimeXer Framework for Landslide Cumulative Displacement Prediction in Alpine Regions

The cumulative displacement of landslides in alpine regions is jointly affected by rainfall, temperature variation, freeze–thaw cycles, and other factors, and usually exhibits nonlinear, non-stationary, and multi-scale fluctuation characteristics. To improve the accuracy of landslide displacement pr...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Shuo Wang, Wei Mao, Xuejun Liu, Ruheiyan Muhemaier, Yanjun Li, Liangfu Xie
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2026-07-01
श्रृंखला:	Applied Sciences
विषय:	alpine landslide GNSS time series cumulative displacement prediction time series decomposition deep learning SOO-VMD-CNN-TimeXer
ऑनलाइन पहुंच:	https://www.mdpi.com/2076-3417/16/13/6623
टैग:	टैग जोड़ें कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!