Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-95467-3_22
Reference39 articles.
1. Altamimi, Z., Rebischung, P., Métivier, L., Collilieux, X.: ITRF2014: a new release of the International Terrestrial Reference Frame modeling nonlinear station motions. J. Geophys. Res. Solid Earth 121(8), 6109–6131 (2016)
2. Amiri-Simkooei, A.A., Tiberius, C.C.J.M., Teunissen, P.J.G.: Assessment of noise in GPS coordinate time series: methodology and results. J. Geophys. Res. Solid Earth 117(B7) (2007). https://doi.org/10.1029/2006JB004913
3. Amiri-Simkooei, A.R.: Noise in multivariate GPS position time-series. J. Geodesy 83, 175–187 (2009)
4. Blewitt, G., Hammond, W.C., Kreemer, C.: Harnessing the GPS data explosion for interdisciplinary science. Eos, Science News by AGU (2018). https://doi.org/10.1029/2018EO104623
5. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv:1409.0473 (2014)
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign;Journal of Geodesy;2024-03
2. Short-term prediction of celestial pole offsets with interpretable machine learning;Earth, Planets and Space;2024-01-29
3. Operational Forecasting of Effective Angular Momentum Functions Fourteen Days Ahead;International Association of Geodesy Symposia;2024
4. Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches;Remote Sensing;2023-11-30
5. Deep ensemble geophysics-informed neural networks for the prediction of celestial pole offsets;Geophysical Journal International;2023-11-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3