Alireza Motevalli
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View article: Managing coastal aquifer salinity risks: Strategies for balance, recharge, and crop adaptation
Managing coastal aquifer salinity risks: Strategies for balance, recharge, and crop adaptation Open
The aim of this study was to assess aquifer salinity risk by identifying high-risk land-use zones and proposing a new paradigm for groundwater resource management under salinization pressure. Salinity risk modeling was conducted with consi…
View article: Validation on the content of clay and organic matter of a digital soil map across Denmark - A median-soil texture perspective
Validation on the content of clay and organic matter of a digital soil map across Denmark - A median-soil texture perspective Open
Detailed soil maps are an essential tool for water resource, land management and agricultural planning. However, due to different soil processes and variation in geology, soil textural properties vary in space at different scales challengi…
View article: Application of Three Metaheuristic Techniques in Simulation of Concrete Slump
Application of Three Metaheuristic Techniques in Simulation of Concrete Slump Open
Slump is a workability-related characteristic of concrete mixture. This paper investigates the efficiency of a novel optimizer, namely ant lion optimization (ALO), for fine-tuning of a neural network (NN) in the field of concrete slump pre…
View article: AN EVALUATION OF LANDSLIDE SUSCEPTIBILITY MAPPING USING REMOTE SENSING DATA AND MACHINE LEARNING ALGORITHMS IN IRAN
AN EVALUATION OF LANDSLIDE SUSCEPTIBILITY MAPPING USING REMOTE SENSING DATA AND MACHINE LEARNING ALGORITHMS IN IRAN Open
Landslide is painstaking as one of the most prevalent and devastating forms of mass movement that affects man and his environment. The specific objective of this research paper is to investigate the application and performances of some sel…
View article: Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)
Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN) Open
Landslide is a natural hazard that results in many economic damages and human losses every year. Numerous researchers have studied landslide susceptibility mapping (LSM), each attempting to improve the accuracy of the final outputs. Howeve…