Safwan Mohammed
Biographic Data
| ID | 7715700 |
|---|---|
| NAME | Safwan Mohammed |
| GIVEN NAMES | Safwan |
| FAMILY NAME | Mohammed |
| SIGNATURE | MOHAMMED S |
| AFFILIATIONS | University of Debrecen |
| ORCID | 0000-0003-2311-6789 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland
The development of new techniques, such as machine learning (ML), can provide better insight into the processes and drivers of soil erosion and runoff. However, the performance of these techniques to assess soil erosion in agricultural landscapes is poorly understood. The aim of this study was to evaluate the performance of four machine learning algorithms, generalized linear model (GLM), Random Forest (RF), elastic net regression (EN) and multip…
Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe
The Modified Fournier Index ( MFI ) is one of the indices that can assess the erosivity of rainfall. However, the implementation of the artificial neural network (ANN) for the prediction of the MFI is still rare. In this research, climate data (monthly and yearly precipitation ( p i , P total ) (mm), daily maximum precipitation ( P d-max ) (mm), monthly mean temperature ( T avg ) (°C), daily maximum mean temperature ( T d-max ) (°C), and daily mi…
Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa
Drought is one of the natural hazards that have negatively affected the agricultural sector worldwide. The aims of this study were to track drought characteristics (duration (DD), severity (DS), and frequency (DF)) in South Africa between 2002 and 2021 and to evaluate its impact on wheat production. Climate data were collected from the South African Weather Service (SAWS) along with wheat yield data from the Department of Agriculture, Forestry an…
An evapotranspiration deficit-based drought index to detect variability of terrestrial carbon productivity in the Middle East
The primary driver of the land carbon sink is gross primary productivity (GPP), the gross absorption of carbon dioxide (CO 2 ) by plant photosynthesis, which currently accounts for about one-quarter of anthropogenic CO 2 emissions per year. This study aimed to detect the variability of carbon productivity using the standardized evapotranspiration deficit index (SEDI). Sixteen countries in the Middle East (ME) were selected to investigate drought.…
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An evapotranspiration deficit-based drought index to detect variability of terrestrial carbon productivity in the Middle East
The primary driver of the land carbon sink is gross primary productivity (GPP), the gross absorption of carbon dioxide (CO 2 ) by plant photosynthesis, which currently accounts for about one-quarter of anthropogenic CO 2 emissions per year. This study aimed to detect the variability of carbon productivity using the standardized evapotranspiration deficit index (SEDI). Sixteen countries in the Middle East (ME) were selected to investigate drought.…
Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe
The Modified Fournier Index ( MFI ) is one of the indices that can assess the erosivity of rainfall. However, the implementation of the artificial neural network (ANN) for the prediction of the MFI is still rare. In this research, climate data (monthly and yearly precipitation ( p i , P total ) (mm), daily maximum precipitation ( P d-max ) (mm), monthly mean temperature ( T avg ) (°C), daily maximum mean temperature ( T d-max ) (°C), and daily mi…
Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa
Drought is one of the natural hazards that have negatively affected the agricultural sector worldwide. The aims of this study were to track drought characteristics (duration (DD), severity (DS), and frequency (DF)) in South Africa between 2002 and 2021 and to evaluate its impact on wheat production. Climate data were collected from the South African Weather Service (SAWS) along with wheat yield data from the Department of Agriculture, Forestry an…
Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland
The development of new techniques, such as machine learning (ML), can provide better insight into the processes and drivers of soil erosion and runoff. However, the performance of these techniques to assess soil erosion in agricultural landscapes is poorly understood. The aim of this study was to evaluate the performance of four machine learning algorithms, generalized linear model (GLM), Random Forest (RF), elastic net regression (EN) and multip…
Environmental Science (4 works) · Climate variability and models (3 works) · Geography (3 works) · Hydrology and Drought Analysis (3 works) · Agronomy (2 works) · Biology (2 works) · Ecology (2 works) · Mathematics (2 works) · Meteorology (2 works) · Precipitation (2 works)