Use of morphometric analysis and self-organizing maps for alluvial fan classification: case study on Ostorankooh altitudes, Iran

M Mokarram, A Seif… - IOP Conference Series …, 2014 - iopscience.iop.org
The aim of this study is to classify alluvial fans formed by high-gradient braided streams and
torrents that discharge into the Oshtorankook altitudes in the Lorestan province, Iran. The …

[PDF][PDF] Using Self-Organizing Maps for Determination of Soil Fertility (Case Study: Shiraz Plain).

M Mokarram, M Najafi-Ghiri… - Soil & Water Research, 2018 - agriculturejournals.cz
Soil fertility refers to the ability of a soil to supply plant nutrients. Naturally, micro and macro
elements are made available to plants by breakdown of the mineral and organic materials in …

Clustering of landforms using self-organizing maps (SOM) in the west of Fars province

M Mokarram, D Sathyamoorthy - IOP Conference Series: Earth …, 2016 - iopscience.iop.org
The aim of this study is to cluster landforms in the west of the Fars province, Iran using self-
organizing maps (SOM). In SOM, according to qualitative data, the clustering tendencies of …

Topics of Analytical and Computational Methods in Tunnel Engineering

M Sakellariou - Tunnel Engineering—Selected Topics, 2020 - books.google.com
In this chapter, a selection of tunneling topics is presented, following the evolution of
methods and tools from analytical to computational era. After an introductory discussion of …

Multivariate Analysis of Clustering Algorithms for Marine Data

AN Vincent, K Sakthidasan, N Laloo… - … Analysis and Deep …, 2024 - ieeexplore.ieee.org
An innovative communication ecosystem called the Internet of Underwater Things (IoUT)
was created to link underwater things in marine and undersea habitats. The IoUT devices …

The self-organizing map for determination of main features related to biological yield and yield of wheat

E Bijanzadeh, M Mokarram - Australian Journal of Crop Science, 2016 - search.informit.org
Among various methods of artificial neural networks (ANNs) and learning algorithms, self-
organizing map (SOM) is one of the most popular models. The aim of this study is to classify …

Using self organising maps in applied geomorphology

F Maria, K Efthimios, C Eleni… - Self Organizing Maps …, 2011 - books.google.com
Geomorphology is the science that studies landscape evolution, thus stands in the centre of
the Earth's surface sciences, where, geology, seismology, hydrology, geochemistry …

Elaboration of a high-dimensional database of unsaturated soils using artificial neural networks

V Matziaris, M Ferentinou, M Sakellariou - Unsaturated Soils: Research …, 2012 - Springer
Over the last few years, Artificial Neural Networks (ANN) have been applied in geotechnical
engineering and have been used to model almost all aspects of geotechnical engineering …

[PDF][PDF] Application of Self-Organizing Map (SOM) for Clustering of Landforms in the West of the Fars Province, Iran

M Mokarram, D Sathyamoorthy - Science & Technology Research …, 2016 - stride.gov.my
The aim of this study is to cluster landforms in the west of the Fars province, Iran using
selforganizing maps (SOM). According to qualitative data, the clustering tendencies of …

[PDF][PDF] Production of Landslide Susceptibility Map Using Self Organizing Map (Som)(Case Study: Northwest Iran)

M Shaygan, M Mokarram - researchgate.net
This study is aimed at performing landslide classification using Kohonen Self Organizing
Map (SOM) which is implemented on Shuttle Radar Topography Mission (SRTM) digital …