Search Results - "Rezaie, Fatemeh"
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Credal decision tree based novel ensemble models for spatial assessment of gully erosion and sustainable management
Published in Scientific reports (04-02-2021)“…We introduce novel hybrid ensemble models in gully erosion susceptibility mapping (GESM) through a case study in the Bastam sedimentary plain of Northern Iran…”
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홍수와 산사태 취약성도 작성을 위한 전 세계 지공간데이터
Published in Geo Data (01-12-2023)“…Susceptibility mapping is an important component of natural hazard risk assessment and management. Susceptibility maps for floods and landslides, which are…”
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Global Geospatial Data for Flood and Landslide Susceptibility Mapping
Published in Geo Data (31-12-2023)“…Susceptibility mapping is an important component of natural hazard risk assessment and management. Susceptibility maps for floods and landslides, which are…”
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Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Published in Journal of hydrology. Regional studies (01-08-2021)“…•Three novel ensemble models are considered for the groundwater potential mapping (GWPM).•The models were evaluated by six dependent and independent…”
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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)
Published in Applied sciences (01-09-2019)“…The most dangerous landslide disasters always cause serious economic losses and human deaths. The contribution of this work is to present an integrated…”
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Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms
Published in Environment international (01-01-2023)“…[Display omitted] •Three novel machine learning models were developed to generate radon potential map.•Soil properties and local geology significantly affected…”
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Technical and economic analysis of acrylonitrile production from polypropylene
Published in Thermal science and engineering progress (01-05-2020)“…•The Acrylonitrile production process has been simulated using Aspen HYSYS.•Prediction of the capital and operating costs were made by Aspen Capital Cost…”
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Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea
Published in Journal of hydrology. Regional studies (01-02-2022)“…The study area was the Anseong-si area that located in the southernmost part of Gyeonggi-do Province at 127°19′ E, 36°82′ N. Anseong has a transitional climate…”
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Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms
Published in Geomatics, natural hazards and risk (01-01-2021)“…Spatial modelling of gully erosion at regional level is very relevant for local authorities to establish successful counter-measures and to change land-use…”
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Blue-Green Smart Mobility Technologies as Readiness for Facing Tomorrow’s Urban Shock toward the World as a Better Place for Living (Case Studies: Songdo and Copenhagen)
Published in Technologies (Basel) (01-09-2020)“…Nowadays, we are on the cusp of a future that will face many global challenges and crises, as well as unforeseeable shocks of tomorrow. The rapid growth and…”
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Quercetin Arrests in G2 phase, Upregulates INXS LncRNA and Downregulates UCA1 LncRNA in MCF-7 Cells
Published in International journal of molecular and cellular medicine (01-01-2021)“…One of the most prevalent malignancies, which have severe effects on women's health, is breast cancer. Quercetin, a flavonoid found in vegetables, tea, and…”
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Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modelling
Published in Stochastic environmental research and risk assessment (2022)“…Land subsidence (LS) is significant problem that can lead to casualties, destruction of infrastructure, and socio-economic and environmental problems. In this…”
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Mapping Post-Earthquake Landslide Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms
Published in Remote sensing (Basel, Switzerland) (01-09-2023)“…Landslides are among the most frequent secondary disasters caused by earthquakes in areas prone to seismic activity. Given the necessity of assessing the…”
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Land subsidence susceptibility mapping based on InSAR and a hybrid machine learning approach
Published in The Egyptian journal of remote sensing and space sciences (01-06-2024)“…Land subsidence (LS) due to natural processes or human activity can irreparably damage the environment. This study employed the quasi-permanent scatterer…”
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Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model
Published in ISPRS international journal of geo-information (01-10-2020)“…Landslides can cause considerable loss of life and damage to property, and are among the most frequent natural hazards worldwide. One of the most fundamental…”
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Sustainable Innovative Project Management: Response to Improve Livability and Quality of Life: Case Studies: Iran and Germany
Published in Inventions (Basel) (01-12-2019)“…Nowadays, quality of life and livability are controversial phenomenon. A high quality of life and livability are demanded in cities; however, rapid and…”
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i-Sustainability Plus Theory as an Innovative Path towards Sustainable World Founded on Blue-Green Ubiquitous Cities (Case Studies: Denmark and South Korea)
Published in Inventions (Basel) (01-06-2020)“…Nowadays, the new concept of urban living is required as a path to struggle with urbanization challenges in order to maintain the world and make cities better…”
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Data used for GIS-based Flood Susceptibility Mapping
Published in Geo Data (01-03-2022)“…The dramatic increase in flood incidents as a significant threat to human life and property, environment, and infrastructure indicates the necessity of mapping…”
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SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment
Published in Applied sciences (01-09-2019)“…Since it is not possible to determine the exact time of a natural disaster’s occurrence and the amount of physical and financial damage on humans or the…”
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Earthquake Vulnerability Assessment for Urban Areas Using an ANN and Hybrid SWOT-QSPM Model
Published in Remote sensing (Basel, Switzerland) (01-11-2021)“…Tabriz city in NW Iran is a seismic-prone province with recurring devastating earthquakes that have resulted in heavy casualties and damages. This research…”
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