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Benedikt Soja
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2020 – today
- 2024
- [j7]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): 490-505 (2024) - 2023
- [j6]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): 2818-2841 (2023) - [j5]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): 5585 (2023) - [j4]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): 5762 (2023) - [c4]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: 1170-1173 - 2022
- [j3]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): 17 (2022) - [j2]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): 3547 (2022) - [c3]Mostafa Kiani Shahvandi
, Junyang Gou, Matthias Schartner
, Benedikt Soja:
Data Driven Approaches for the Prediction of Earth's Effective Angular Momentum Functions. IGARSS 2022: 6550-6553 - 2021
- [j1]Laura Crocetti
, Matthias Schartner
, Benedikt Soja
:
Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine Learning. Remote. Sens. 13(19): 3906 (2021) - [c2]Mostafa Kiani Shahvandi
, Benedikt Soja:
Modified Deep Transformers for GNSS Time Series Prediction. IGARSS 2021: 8313-8316 - [c1]Mostafa Kiani Shahvandi
, Benedikt Soja
:
Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series. LOD 2021: 296-307
Coauthor Index
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last updated on 2024-06-10 21:24 CEST by the dblp team
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