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Seon Lee, Se-Hong Oh, Sun-Won Park, Chaewon Shin, Jeehun Kim, Jung-Hyo Rhim, Jee-Young Lee and Joon-Yul Choi
The purpose of this study was to determine whether a support vector machine (SVM) model based on quantitative susceptibility mapping (QSM) can be used to differentiate iron accumulation in the deep grey matter of early Parkinson?s disease (PD) patients f...
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Christos Polykretis, Antigoni Faka and Christos Chalkias
The main purpose of this study is to explore the impact of analysis scale on the performance of a quantitative model for landslide susceptibility assessment through empirical analyses in the northern Peloponnese, Greece. A multivariate statistical model ...
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Sandeep Panchal and Amit K. Shrivastava
Landslide susceptibility maps are very important tools in the planning and management of landslide prone areas. Qualitative and quantitative methods each have their own advantages and dis-advantages in landslide susceptibility mapping. The aim of this st...
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