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Published/Copyright:
March 18, 2024
Published Online: 2024-03-18
Published in Print: 2024-04-25
©2024 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Review
- A proposed neural network model for obtaining precipitable water vapor
- Original Research Articles
- Assessment of GNSS observations and positioning performance from non-flagship Android smartphones
- Dynamic mode decomposition and bivariate autoregressive short-term prediction of Earth rotation parameters
- Comparison of selected reliability optimization methods in application to the second order design of geodetic network
- Monte Carlo variance propagation for the uncertainty modeling of a kinematic LiDAR-based multi-sensor system
- Ensemble based deep learning model for prediction of integrated water vapor (IWV) using GPS and meteorological observations
- Keypoint-based registration of TLS point clouds using a statistical matching approach
- PPP_Mansoura: an open-source software for multi-constellation GNSS processing
- Ionospheric TEC prediction using FFNN during five different X Class solar flares of 2021 and 2022 and comparison with COKSM and IRI PLAS 2017
- Analysis of differential code biases for GPS receivers over the Indian region
- A machine-learning approach to estimate satellite-based position errors
- Monitoring of spatial displacements and deformation of hydraulic structures of hydroelectric power plants of the Dnipro and Dnister cascades (Ukraine)