M
Maria Ferentinou
Researcher at University of Johannesburg
Publications - 49
Citations - 1045
Maria Ferentinou is an academic researcher from University of Johannesburg. The author has contributed to research in topics: Landslide & Slope stability. The author has an hindex of 15, co-authored 43 publications receiving 772 citations. Previous affiliations of Maria Ferentinou include Harokopio University & University of KwaZulu-Natal.
Papers
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Journal ArticleDOI
A study of slope stability prediction using neural networks
M. Sakellariou,Maria Ferentinou +1 more
TL;DR: In this paper, the input data for slope stability estimation consist of values of geotechnical and geometrical input parameters and the relative importance of the parameters is studied using the method of the partitioning of weights and compared to the results obtained through the use of Index Information Theory.
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GIS-Based Landslide Susceptibility Mapping on the Peloponnese Peninsula, Greece
TL;DR: In this paper, a landslide susceptibility map of Peloponnese (Greece) at a regional scale was derived by applying a bivariate statistical analysis modeling and validated by an independent validation set of landslide events.
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Computational intelligence tools for the prediction of slope performance
Maria Ferentinou,M. Sakellariou +1 more
TL;DR: The results obtained by using the back-propagation algorithm, the theory of Bayesian neural networks and the Kohonen self-organizing maps are presented, one of the most realistic models of the biological brain functions.
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Shallow landslide susceptibility assessment in a semiarid environment — A Quaternary catchment of KwaZulu-Natal, South Africa
Clarice Romer,Maria Ferentinou +1 more
TL;DR: In this paper, the authors compared the performance of landslide susceptibility models and rate the importance of landslide causal factors, including altitude, slope angle, aspect, slope total curvature, slope plan curvature and slope profile curvature.
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Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area
TL;DR: In this article, an adaptive neuro-fuzzy modeling (ANFIS) is applied in order to map landslide susceptibility for a Mediterranean catchment (Peloponnese, Greece).