Fang-Shii Ning
Datos Biográficos
| ID | 8670331 |
|---|---|
| NOMBRE | Fang-Shii Ning |
| NOMBRES | Fang-Shii |
| APELLIDO | Ning |
| FIRMA | NING F |
| AFILIACIONES | National Chengchi University |
| ORCID | 0000-0003-2155-3061 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 1 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 0 |
PM2.5 Concentration Prediction Model
Although many machine learning methods have been widely used to predict PM2.5 concentrations, these single or hybrid methods still have some shortcomings. This study integrated the advantages of convolutional neural network (CNN) feature extraction and the regression ability of random forest (RF) to propose a novel CNN-RF ensemble framework for PM2.5 concentration modeling. The observational data from 13 monitoring stations in Kaohsiung in 2021 w…
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PM2.5 Concentration Prediction Model
Although many machine learning methods have been widely used to predict PM2.5 concentrations, these single or hybrid methods still have some shortcomings. This study integrated the advantages of convolutional neural network (CNN) feature extraction and the regression ability of random forest (RF) to propose a novel CNN-RF ensemble framework for PM2.5 concentration modeling. The observational data from 13 monitoring stations in Kaohsiung in 2021 w…
Air Quality and Health Impacts (1 obra) · Air Quality Monitoring and Forecasting (1 obra) · Artificial Intelligence (1 obra) · Computer Science (1 obra) · Convolutional neural network (1 obra) · Data mining (1 obra) · Deep learning (1 obra) · Ensemble forecasting (1 obra) · Ensemble learning (1 obra) · Machine learning (1 obra)