Maryam Saffariha
Biographic Data
| ID | 9401271 |
|---|---|
| NAME | Maryam Saffariha |
| GIVEN NAMES | Maryam |
| FAMILY NAME | Saffariha |
| SIGNATURE | SAFFARIHA M |
| AFFILIATIONS | University of Tehran |
| ORCID | 0000-0003-1981-3389 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Environmental decision support system development for natural distribution prediction of Festuca ovina in restoration of degraded lands
Anthropogenic activities, species invasions, and ecological factors are driving rapid changes in rangeland ecosystems. For ensuring the richness and sustainability of plant species habitats, there is a pressing need for a reliable prediction model that can accurately forecast and map species distribution under varying ecological conditions. We aimed to compare the performance of three widely used machine learning methods: Multilayer perceptron (M…
Sedative-hypnotic, anxiolytic and possible side effects of Salvia limbata C. A. Mey. Extracts and the effects of phenological stage and altitude on the rosmarinic acid content
Tourism impact assessment modeling of vegetation density for protected areas using data mining techniques
In protected areas (PAs), the lack of tourism impact prediction models of vegetation is a shortcoming in PA management. Now, the main question are how recovery can be accelerated, or which ecological factors are associated with the rehabilitation of vegetation density? We aimed to compare the multilayer perceptron (MLP), radial basis function neural network (RBFNN), and support vector machine (SVM) models to predict tourism impact on land vegetat…
No prominent works on this page.
Tourism impact assessment modeling of vegetation density for protected areas using data mining techniques
In protected areas (PAs), the lack of tourism impact prediction models of vegetation is a shortcoming in PA management. Now, the main question are how recovery can be accelerated, or which ecological factors are associated with the rehabilitation of vegetation density? We aimed to compare the multilayer perceptron (MLP), radial basis function neural network (RBFNN), and support vector machine (SVM) models to predict tourism impact on land vegetat…
Sedative-hypnotic, anxiolytic and possible side effects of Salvia limbata C. A. Mey. Extracts and the effects of phenological stage and altitude on the rosmarinic acid content
Environmental decision support system development for natural distribution prediction of Festuca ovina in restoration of degraded lands
Anthropogenic activities, species invasions, and ecological factors are driving rapid changes in rangeland ecosystems. For ensuring the richness and sustainability of plant species habitats, there is a pressing need for a reliable prediction model that can accurately forecast and map species distribution under varying ecological conditions. We aimed to compare the performance of three widely used machine learning methods: Multilayer perceptron (M…
Artificial neural network (2 works) · Biology (2 works) · Computer Science (2 works) · Ecology and Vegetation Dynamics Studies (2 works) · Environmental Science (2 works) · Machine learning (2 works) · Multilayer perceptron (2 works) · Support vector machine (2 works) · Agroforestry (1 works) · Anxiolytic (1 works)