S
Saied Pirasteh
Researcher at Universiti Putra Malaysia
Publications - 45
Citations - 1702
Saied Pirasteh is an academic researcher from Universiti Putra Malaysia. The author has contributed to research in topics: Computer science & Landslide. The author has an hindex of 18, co-authored 24 publications receiving 1300 citations. Previous affiliations of Saied Pirasteh include Shahid Chamran University of Ahvaz & University of Waterloo.
Papers
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Journal ArticleDOI
An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
Masoud Bakhtyari Kia,Saied Pirasteh,Biswajeet Pradhan,Ahmad Rodzi Mahmud,Wan Nor Azmin Sulaiman,Abbas Moradi +5 more
TL;DR: In this article, the authors developed a flood model using various flood causative factors using ANN techniques and geographic information system (GIS) to modeling and simulate flood-prone areas in the southern part of Peninsular Malaysia.
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Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran
TL;DR: In this paper, a modified version of the DRASTIC model was used in the Kerman plain in the southeastern region of Iran to evaluate the groundwater vulnerability to pollution, and the results showed that the modified model performs more efficiently than the traditional method for nonpoint source pollution.
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Landslide hazard and risk analyses at a landslide prone catchment area using statistical based geospatial model
TL;DR: In this article, the authors presented the application of remote sensing techniques, digital image analysis and Geographic Information System tools to delineate the degree of landslide hazard and risk areas in the Balik Pulau area in Penang Island, Malaysia.
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Spatial prediction of landslide susceptibility using GIS-based data mining techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
Wei Chen,Haoyuan Hong,Mahdi Panahi,Himan Shahabi,Yi Wang,Ataollah Shirzadi,Saied Pirasteh,Ali Asghar Alesheikh,Khabat Khosravi,Somayeh Panahi,Fatemeh Rezaie,Shaojun Li,Abolfazl Jaafari,Dieu Tien Bui,Baharin Bin Ahmad +14 more
TL;DR: Wang et al. as mentioned in this paper presented an integrated landslide modelling framework, in which an adaptive neuro-fuzzy inference system (ANFIS) is combined with the two optimization algorithms of whale optimization algorithm (WOA) and grey wolf optimizer (GWO) at Anyuan County, China.
Comparison between prediction capabilities of neural network and fuzzy logic techniques for L and slide susceptibility mapping.
Biswajeet Pradhan,Saied Pirasteh +1 more
TL;DR: A comparative analysis of the prediction capabilities between the Neural network and fuzzy logic model for L and slide susceptibility mapping in a geographic information system (GIS) environment showed that the neural network model (accuracy is 88%) is better in prediction than fuzzy logic models.