Murat Durmaz
Murat Durmaz
Hacettepe University Geomatics Engineering
Verified email at hacettepe.edu.tr
TitleCited byYear
Regional VTEC modeling with multivariate adaptive regression splines
M Durmaz, MO Karslioglu, M Nohutcu
Advances in Space Research 46 (2), 180-189, 2010
282010
Regional vertical total electron content (VTEC) modeling together with satellite and receiver differential code biases (DCBs) using semi-parametric multivariate adaptive …
M Durmaz, MO Karslioglu
Journal of Geodesy 89 (4), 347-360, 2015
232015
Non-parametric regional VTEC modeling with multivariate adaptive regression B-splines
M Durmaz, MO Karslioğlu
Advances in Space Research 48 (9), 1523-1530, 2011
142011
Near real-time estimation of ionosphere vertical total electron content from GNSS satellites using B-splines in a Kalman filter
E Erdogan, M Schmidt, F Seitz, M Durmaz
Annales Geophysicae 35 (2), 263-277, 2017
112017
Non-parametric and semi-parametric regional modeling of the ionospheric vertical total electron content using ground-based gps observations
M Durmaz
PhD Dissertation, Middle East Technical University, 2013
32013
Regional spatio-temporal modeling of the ionospheric vertical total electron content (VTEC) using multivariate adaptive regression B-splines (BMARS)
MO Karslıoğlu, M Durmaz
Journal of Geodesy and Geoinformation 1 (1), 2012
22012
Estimation of GBAS ionospheric threat model parameters using continuous GNSS observations for category i operations
M Onur Karslioglu, A Yeganehsahab, M Durmaz
EGU General Assembly Conference Abstracts 19, 13642, 2017
12017
Multi-scale ionosphere model with data-adapted spatial resolution
W Liang, E Erdogan, M Limberger, M Schmidt, D Dettmering, ...
2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), 1-1, 2014
12014
One-dimensional real-time signal denoising using wavelet-based Kalman filtering
M DURMAZ
M. Sc. Thesis, 2007
12007
Assessment of ionospheric threat modeling techniques over Marmara Region
M Onur Karslioglu, A Yeganehsahab, M Durmaz
EGU General Assembly Conference Abstracts 18, 2016
2016
Entwicklung eines neuartigen adaptiven Modells zur Darstellung von globalen Ionosphäreninformationen aus der Kombination geodätischer Raumverfahren
M Schmidt, E Erdogan, W Liang, M Durmaz, M Kappelsberger
Deutsches Geodätisches Forschungsinstitut, 2016
2016
Multi-GNSS assessment of ionospheric threat model parameters for Ground Based Augmentation Systems (GBAS)
M Onur Karslioglu, M Durmaz, A YeganehSahab
EGU General Assembly Conference Abstracts 17, 2015
2015
Development of a novel adaptive model to represent global ionosphere information from combining space geodetic measurement systems
E Erdogan, M Durmaz, W Liang, M Kappelsberger, D Dettmering, ...
EGU General Assembly Conference Abstracts 17, 2015
2015
Mapping the global TEC by means of an adaptive B-spline parametrization and space-geodetic techniques
M Limberger, E Erdogan, M Schmidt, D Dettmering, M Durmaz, ...
Atlantic Radio-Science Conference 2015, Maspalomas, Gran Canaria, Spain, 2015
2015
Estimation of global VTEC in near real-time using B-splines in support of IRI
E Erdogan, W Liang, M Limberger, M Schmidt, M Durmaz, D Dettmering
2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), 1-1, 2014
2014
Station Based Polynomial Modeling of the local ionospheric Vertical Total Electron Content (VTEC) using Particle Filter
E Erdogan, M Onur Karslioglu, M Durmaz, A Aghakarimi
EGU General Assembly Conference Abstracts 16, 2014
2014
Adaptivity Assessment of Regional Semi-Parametric VTEC Modeling to Different Data Distributions
M Durmaz, M Onur Karslioglu
EGU General Assembly Conference Abstracts 16, 2014
2014
A Global Ionospheric B-Spline VTEC Model from GNSS Measurements
M Schmidt, M Durmaz, M Limberger, E Erdogan, D Dettmering, W Liang
Conference on Satellite Methods for Positioning, Olsztyn, Poland, 2014
2014
Bölgesel iyonosferik Düşey Toplam Elektron İçeriğinin (VTEC) mekansal ve zamansal boyutlarda Çok Değişkenli Uyabilen B-Spline Regresyonu (BMARS) kullanılarak belirlenmesi
MO Karslıoğlu, M Durmaz
2012
Regional Ionosphere Modeling using Multivariate Adaptive Regression B-Splines (BMARS)
MO Karslioglu, M Durmaz
EGU General Assembly Conference Abstracts 14, 3604, 2012
2012
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