Name
Title | ||
|---|---|---|
Prediction of Tensile Strength and Erosional Effectiveness of Natural Geotextiles Using Artificial Neural Network |
Abstract | ||
|---|---|---|
Soil erosion is a phenomenon observable in sloped terrains which is brought about by heavy precipitation and strong winds. The utilization of natural geotextiles which is effective, cost – efficient, environmentally – sustainable and standard – adhering measure is essential to stabilize the natural inclination of the soil and to curb erosion. To totally understand the primary importance of differe... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCAE51876.2021.9426170 | 2021 13th International Conference on Computer and Automation Engineering (ICCAE) |
Keywords | DocType | ISSN |
Water,Neurons,Artificial neural networks,Optical fiber networks,Predictive models,Soil,Tools | Conference | 2154-4352 |
ISBN | Citations | PageRank |
978-1-6654-1295-7 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dante L. Silva | 1 | 0 | 0.34 |
| Kevin Lawrence M. de Jesus | 2 | 0 | 0.34 |
| Edgar M. Adina | 3 | 0 | 0.34 |
| Daelson V. Mangrobang | 4 | 0 | 0.34 |
| Mareshah D. Escalante | 5 | 0 | 0.34 |
| Nicole Anne M. Susi | 6 | 0 | 0.34 |