Výsledky vyhledávání - "Atefeh Ahmadi Dehrashid"

Akademický článek

What can I do as a farmer to reduce losses? Willingness to use meteorological information as an exit strategy to deal with meteorological hazards

Autor: Naser Valizadeh, Latif Haji, Shobeir Karami, Atefeh Ahmadi Dehrashid, Sara Jalilian, Hossein Azadi

Publikováno v: Frontiers in Environmental Science, Vol 12 (2024)

Meteorological information and forecasts are of great importance to reduce agro-meteorological hazards. However, the gap between production and application of these forecasts is one of the most ambiguous issues of crop management at the farmers’ le

Externí odkaz: https://doaj.org/article/35e35ef7c78d4669979d1cdb4afb1ae2

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Akademický článek

A novel problem-solving method by multi-computational optimisation of artificial neural network for modelling and prediction of the flow erosion processes

Autor: Hossein Moayedi, Atefeh Ahmadi Dehrashid, Binh Nguyen Le

Publikováno v: Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)

This research aims to forecast, using various criteria, the flow of soil erosion that will occur at a particular geographical location. As for the training dataset, 80% of the dataset from the sample sites, four hybrid algorithms, namely heap-based o

Externí odkaz: https://doaj.org/article/ce273281f38a40bb881381d3159dc742

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Akademický článek

Food security assessment in rural areas: evidence from Iran

Autor: Atefeh Ahmadi Dehrashid, Masoud Bijani, Naser Valizadeh, Hossein Ahmadi Dehrashid, Bahram Nasrollahizadeh, Akbar Mohammadi

Publikováno v: Agriculture & Food Security, Vol 10, Iss 1, Pp 1-18 (2021)

Abstract Background Food security is considered a pivotal factor for the sustainable development of communities and focus on this issue in rural areas. More specifically, it is of paramount importance in developing countries. Accordingly, this descri

Externí odkaz: https://doaj.org/article/25559f3d30dd46359bfa91f27e274738

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Akademický článek

Multilayer Perceptron and Their Comparison with Two Nature-Inspired Hybrid Techniques of Biogeography-Based Optimization (BBO) and Backtracking Search Algorithm (BSA) for Assessment of Landslide Susceptibility

Autor: Hossein Moayedi, Peren Jerfi Canatalay, Atefeh Ahmadi Dehrashid, Mehmet Akif Cifci, Marjan Salari, Binh Nguyen Le

Publikováno v: Land, Vol 12, Iss 1, p 242 (2023)

Regarding evaluating disaster risks in Iran’s West Kurdistan area, the multi-layer perceptron (MLP) neural network was upgraded with two novel techniques: backtracking search algorithm (BSA) and biogeography-based optimization (BBO). Utilizing 16 l

Externí odkaz: https://doaj.org/article/4a5c7a9f747842bd9387687f4d54f896

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