T Suganya
Datos Biográficos
| ID | 8419976 |
|---|---|
| NOMBRE | T Suganya |
| NOMBRES | T |
| APELLIDO | Suganya |
| FIRMA | SUGANYA T |
| AFILIACIONES | University of Moratuwa |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Assessment of Long-Term Residential Satisfaction of Postdisaster Resettled Communities
Millions of people are displaced globally due to natural hazards, conflicts, and development projects, necessitating resettlement processes that often fail to meet long-term community needs. This study aims to evaluate the long-term residential satisfaction of postdisaster resettled communities and propose actionable improvement strategies. A mixed-methods approach was employed, combining quantitative and qualitative data. Quantitative data were …
Machine learning based prediction of house price
Getting a house of our wishes within our budget in a residential area of our customization is quite a tedious process. In order to overcome this, we have developed a model to get a houses of our interest with religious belief and budget this Implemented model is of linear regression and k nearest neighbor’s algorithm with gradient descent optimization to make an optimal model for predicting house prices using the dataset. Performed feature engine…
Sin obras prominentes en esta página.
Machine learning based prediction of house price
Getting a house of our wishes within our budget in a residential area of our customization is quite a tedious process. In order to overcome this, we have developed a model to get a houses of our interest with religious belief and budget this Implemented model is of linear regression and k nearest neighbor’s algorithm with gradient descent optimization to make an optimal model for predicting house prices using the dataset. Performed feature engine…
Assessment of Long-Term Residential Satisfaction of Postdisaster Resettled Communities
Millions of people are displaced globally due to natural hazards, conflicts, and development projects, necessitating resettlement processes that often fail to meet long-term community needs. This study aims to evaluate the long-term residential satisfaction of postdisaster resettled communities and propose actionable improvement strategies. A mixed-methods approach was employed, combining quantitative and qualitative data. Quantitative data were …
Algorithm (1 obras) · Artificial Intelligence (1 obras) · Artificial neural network (1 obras) · Community development (1 obras) · Computer Science (1 obras) · Data mining (1 obras) · Economics (1 obras) · Engineering (1 obras) · Feature (linguistics (1 obras) · Feature selection (1 obras)