Generative probabilistic prediction of precipitation induced landslide deformation with variational autoencoder and gated recurrent unit

W Cai, F Lan, X Huang, J Hao, W Xia, R Tang… - Frontiers in Earth …, 2024 - frontiersin.org
Landslides, prevalent in mountainous areas, are typically triggered by tectonic movements,
climatic changes, and human activities. They pose catastrophic risks, especially when …

Landslide displacement prediction model based on multisource monitoring data fusion

H Liu, M Bai, Y Li, L Yang, H Shi, X Gao, Y Qi - Measurement, 2024 - Elsevier
This study presents a displacement prediction model that integrating various monitoring data
sources to comprehensive landslide monitoring information utilization. The research focuses …

[HTML][HTML] Multi-relation spatiotemporal graph residual network model with multi-level feature attention: A novel approach for landslide displacement prediction

Z Wang, X Fang, W Zhang, X Ding, L Wang… - Journal of Rock …, 2024 - Elsevier
Accurate prediction of landslide displacement is crucial for effective early warning of
landslide disasters. While most existing prediction methods focus on time-series forecasting …

[PDF][PDF] Prediction of the Swings in Plays Based on Momentum of Tennis Matches

X Zhu, S Wang, Z Wu - Frontiers in Sport Research, 2024 - francis-press.com
Tennis is an increasingly popular sport worldwide. This paper focuses on the study of"
momentum" in tennis matches, which is utilized to predict match fluctuations. In this paper …

Forecasts of Video Game Sales based on the ARIMA Model

S Yang - Applied and Computational Engineering, 2024 - ewadirect.com
With the rapid development of the digital age, video games have become an important
component of the cultural industry, and their sales forecasting has become a focus of …