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GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING

SHOLAGBERU, ABDULKADIR TAOFEEQ (2018) GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING. PhD thesis, Universiti Teknologi PETRONAS.

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Abstract

Soil erosion hazard has been recognized as one of the biggest environmental challenges. It becomes more problematic in human-altered mountainous watershed like Cameron Highlands. Literature survey revealed the issues of subjectivity in selecting erosion causative factors (CFs) for susceptibility modeling due to lack of specific guideline. To date, some crucial dynamic CFs are not considered and support vector machine (SVM) techniques are scarcely explored in the previous susceptibility mapping.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Civil Engineering - Water and environment - Water
Subject: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering > Civil
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 07 Nov 2019 11:44
Last Modified: 07 Nov 2019 11:44
URI: http://utpedia.utp.edu.my/id/eprint/19992

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