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pro vyhledávání: '"Kiani, M"'
Autor:
Kiani, M.
Earthquake prediction is one of the most pursued problems in geoscience. Different geological and seismological approaches exist for the prediction of the earthquake and its subsequent land change. However, in many cases, they fail in their mission.
Externí odkaz:
http://arxiv.org/abs/2006.10419
Autor:
Kiani, M.
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 mean value of the time series is subtracted from it. Second, the trends i
Externí odkaz:
http://arxiv.org/abs/2006.09067
Autor:
Kiani, M.
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 permanent GNSS stations. The machine learning algorithms that are used are
Externí odkaz:
http://arxiv.org/abs/2006.07891
Autor:
Kiani, M.
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 themselves as strong prediction tools in different fields of science, we emp
Externí odkaz:
http://arxiv.org/abs/2006.03772
Autor:
Kiani, M.
In this paper, the generalized regression neural network is used to predict the GNSS position time series. Using the IGS 24-hour final solution data for Bad Hamburg permanent GNSS station in Germany, it is shown that the larger the training of the ne
Externí odkaz:
http://arxiv.org/abs/2005.11106
Autor:
Kiani, M.
The present paper is focused on the comparison of the efficiency of two important meshless interpolants for gravity acceleration interpolation. Compactly-supported spherical radial basis functions and interpolating moving least squares are used to in
Externí odkaz:
http://arxiv.org/abs/2005.08207
Autor:
Kiani, M.
This paper is focused on deriving an optimal image smoother. The optimization is done through the minimization of the norm of the Laplace operator in the image coordinate system. Discretizing the Laplace operator and using the method of Euler-Lagrang
Externí odkaz:
http://arxiv.org/abs/2003.08210
Autor:
Kiani, M.
In this paper a new method of image smoothing for satellite imagery and its applications in environmental remote sensing are presented. This method is based on the global gradient minimization over the whole image. With respect to the image discrete
Externí odkaz:
http://arxiv.org/abs/2003.08209
Autor:
Kiani, M.
In this paper a new Geophysical gravimetry approach is presented, which is based on satellite imagery in remote sensing. The method uses a satellite image, together with a set of points in the image the gravity values of which are known. Template-bas
Externí odkaz:
http://arxiv.org/abs/2003.09388
Autor:
Kiani, M, Chaparian, A
Publikováno v:
In European Journal of Radiology January 2023 158