Shaghayegh Miraki
Biographic Data
| ID | 7943993 |
|---|---|
| NAME | Shaghayegh Miraki |
| GIVEN NAMES | Shaghayegh |
| FAMILY NAME | Miraki |
| SIGNATURE | MIRAKI S |
| AFFILIATIONS | Sari Agricultural Sciences and Natural Resources University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Daily Water Level Prediction of Zrebar Lake (Iran)
Zrebar Lake is one of the largest freshwater lakes in Iran and it plays an important role in the ecosystem of the environment, while its desiccation has a negative impact on the surrounded ecosystem. Despite this, this lake provides an interesting recreation setting in terms of ecotourism. The prediction and forecasting of the water level of the lake through simple but practical methods can provide a reliable tool for future lake water resource m…
Shallow Landslide Susceptibility Mapping
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, and can cause social upheaval and loss of life. As a result, many scientists study the phenomenon, and some of them have focused on producing landslide susceptibility maps that can be used by land-use managers to reduce injury and damage. This paper contributes to this effort by comparing the power and effectiveness of five machine learning, benchmark alg…
No prominent works on this page.
Daily Water Level Prediction of Zrebar Lake (Iran)
Zrebar Lake is one of the largest freshwater lakes in Iran and it plays an important role in the ecosystem of the environment, while its desiccation has a negative impact on the surrounded ecosystem. Despite this, this lake provides an interesting recreation setting in terms of ecotourism. The prediction and forecasting of the water level of the lake through simple but practical methods can provide a reliable tool for future lake water resource m…
Shallow Landslide Susceptibility Mapping
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, and can cause social upheaval and loss of life. As a result, many scientists study the phenomenon, and some of them have focused on producing landslide susceptibility maps that can be used by land-use managers to reduce injury and damage. This paper contributes to this effort by comparing the power and effectiveness of five machine learning, benchmark alg…
Algorithm (2 works) · Computer Science (2 works) · Decision tree (2 works) · Flood Risk Assessment and Management (2 works) · Machine learning (2 works) · Mathematics (2 works) · Mean squared error (2 works) · Statistics (2 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works)