Benedikt Soja

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Majority Voting

Data Driven Approaches

Top Venues

IEEE Trans. Aerosp. Electron. Syst.

Publications

Sijie Lyu, Yan Xiang, Benedikt Soja, Ningbo Wang, Wenxian Yu, Trieu-Kien Truong
Uncertainties of Interpolating Satellite-Specific Slant Ionospheric Delays and Impacts on PPP-RTK. IEEE Trans. Aerosp. Electron. Syst. 60 (1) (2024)
Junyang Gou, Christine Rösch, Endrit Shehaj, Kangkang Chen, Mostafa Kiani Shahvandi, Benedikt Soja, Markus Rothacher
Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches. Remote. Sens. 15 (23) (2023)
Benedikt Soja, Grzegorz Klopotek, Yuanxin Pan, Laura Crocetti, Shuyin Mao, Mudathir Awadaljeed, Markus Rothacher, Linda See, Tobias Sturn, Rudi Weinacker, Ian McCallum, Vicente Navarro
Machine Learning-Based Exploitation of Crowdsourced GNSS Data for Atmospheric Studies. IGARSS (2023)
Linda See, Benedikt Soja, Grzegorz Klopotek, Tobias Sturn, Rudi Weinacker, Santosh Karanam, Ivelina Georgieva, Yuanxin Pan, Laura Crocetti, Markus Rothacher, Vicente Navarro, Steffen Fritz, Ian McCallum
Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project. Int. J. Digit. Earth 16 (1) (2023)
Alireza Atabati, Iraj Jazireeyan, Mahdi Alizadeh, Mahmoud Pirooznia, Jakob Flury, Harald Schuh, Benedikt Soja
Analyzing the Ionospheric Irregularities Caused by the September 2017 Geomagnetic Storm Using Ground-Based GNSS, Swarm, and FORMOSAT-3/COSMIC Data near the Equatorial Ionization Anomaly in East Africa. Remote. Sens. 15 (24) (2023)
Pia Ruttner, Roland Hohensinn, Stefano D'Aronco, Jan Dirk Wegner, Benedikt Soja
Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach. Remote. Sens. 14 (1) (2022)
Mostafa Kiani Shahvandi, Junyang Gou, Matthias Schartner, Benedikt Soja
Data Driven Approaches for the Prediction of Earth's Effective Angular Momentum Functions. IGARSS (2022)
Randa Natras, Benedikt Soja, Michael Schmidt
Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting. Remote. Sens. 14 (15) (2022)
Laura Crocetti, Matthias Schartner, Benedikt Soja
Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine Learning. Remote. Sens. 13 (19) (2021)
Mostafa Kiani Shahvandi, Benedikt Soja
Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series. LOD (2021)
Mostafa Kiani Shahvandi, Benedikt Soja
Modified Deep Transformers for GNSS Time Series Prediction. IGARSS (2021)