4 citations · 7 across the 2 of their papers we have counts for
3 papers
eess.SP2020
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction
M. Kiani
We present a simple yet efficient supervised machine learning algorithm that is designed for the GNSS position time series prediction. This algorithm has four steps. First, the mea…
eess.SP2020★ 3 cited
Lateral land movement prediction from GNSS position time series in a machine learning aided algorithm
M. Kiani
We investigate the accuracy of conventional machine learning aided algorithms for the prediction of lateral land movement in an area using the precise position time series of perma…
eess.SP2020★ 4 cited
A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series
M. Kiani
This paper is aimed at the problem of predicting the land subsidence or upheave in an area, using GNSS position time series. Since machine learning algorithms have presented themse…