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Article
    Kłopotek, G., Pan, Y., Sturn, T., Weinacker, R., See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065, Crocetti, L., Awadaljeed, M., Rothacher, M., McCallum, I. 
ORCID: https://orcid.org/0000-0002-5812-9988, Fritz, S. 
ORCID: https://orcid.org/0000-0003-0420-8549, Navarro, V. & Soja, B.
  
(2024).
    A Cloud-native Approach for Processing of Crowdsourced GNSS Observations and Machine Learning at Scale: A Case Study from the CAMALIOT Project.
  
    Advances in Space Research 74 (6), 2752-2770. 10.1016/j.asr.2024.02.055.
    
    
  
  
    Pan, Y., Kłopotek, G., Crocetti, L., Weinacker, R., Sturn, T., See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065, Dick, G., Möller, G., Rothacher, M., McCallum, I., Navarro, V. & Soja, B.
  
(2024).
    Determination of high-precision tropospheric delays using crowdsourced smartphone GNSS data.
  
    Atmospheric Measurement Techniques 17 (14), 4303-4316. 10.5194/amt-17-4303-2024.
    
    
  
  
    See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065, Soja, B., Kłopotek, G., Sturn, T., Weinacker, R., Karanam, S., Georgieva, I. 
ORCID: https://orcid.org/0000-0002-5556-794X, Pan, Y., Crocetti, L., Rothacher, M., Navarro, V., Fritz, S. 
ORCID: https://orcid.org/0000-0003-0420-8549 & McCallum, I. 
ORCID: https://orcid.org/0000-0002-5812-9988
  
(2023).
    Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project.
  
    International Journal of Digital Earth 16 (1), 2818-2841. 10.1080/17538947.2023.2239761.
    
    
  
  
    Navarro, V., Grieco, R., Soja, B., Nugnes, M., Klopotek, G., Tagliaferro, G., See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065, Falzarano, R., Weinacker, R. & VenturaTraveset, J.
  
(2021).
    Data Fusion and Machine Learning for Innovative GNSS Science Use Cases.
  
    Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), 2656-2669. 10.33012/2021.18115.
    
    
  
  
Book Section
    Soja, B., Kłopotek, G., Pan, Y., Crocetti, L., Mao, S., Awadaljeed, M., Rothacher, M., See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., Weinacker, R., McCallum, I. 
ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V.
  
(2023).
    Machine Learning-Based Exploitation of Crowdsourced GNSS Data for Atmospheric Studies.
  
   
      In:  
      IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium.
    
   
    pp. 1170-1173 Pasadena: IEEE. 
     10.1109/IGARSS52108.2023.10283441.
  
  
Conference or Workshop Item
    Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R., Sturn, T., McCallum, I. 
ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V.
  
(2022).
    Machine learning algorithms for global modelling of Zenith Wet Delay based on GNSS measurements and meteorological data.
  
    In: 1st Workshop on Data Science for GNSS Remote Sensing, 13-15 June 2022, Potsdam, Germany.
  
  
    See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065, Soja, B., Kłopotek, G., Awadaljeed, M., Crocetti, L., Pan, Y., Rothacher, M., Weinacker, R., Sturn, T., McCallum, I. 
ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V.
  
(2022).
    The CAMALIOT project.
  
    In: FFG Informationsveranstaltung zu NAVISP, 10 May, 2022, Vienna, Austria.
  
  
    Crocetti, L., Soja, B., Klopotek, G., Awadaljeed, M., Rothacher, M., See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R., Sturn, T., McCallum, I. 
ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V.
  
(2022).
    Machine learning and meteorological data for spatio-temporal prediction of tropospheric parameters.
  
    In: EGU General Assembly 2022, 23-27 May 2022, Vienna.
  
  
    Klopotek, G., Soja, B., Awadaljeed, M., Crocetti, L., Rothacher, M., See, L. 
ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R., Sturn, T., McCallum, I. 
ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V.
  
(2022).
    Total Electron Content Monitoring Complemented with Crowdsourced GNSS Observations.
  
    In: EGU General Assembly 2022, 23-27 May 2022, Vienna.
  
  
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