Browsing byAuthorMetia, S
Showing results 1 to 13 of 13
| Issue Date | Title | Author(s) |
| 2022-12-01 | A hybrid neuro-fuzzy prediction system with butterfly optimization algorithm for PM2.5 forecasting | Bhanja, S; Metia, S; Das, A |
| 2020-03-01 | Urban air pollution estimation using unscented Kalman filtered inverse modeling with scaled monitoring data | Metia, S; Ha, QP; Duc, HN; Scorgie, Y |
| 2020 | Sensing Data Fusion for Enhanced Indoor Air Quality Monitoring | Ha, QP; Metia, S; Phung, MD |
| 2018-08-01 | Estimation of Power Plant Emissions with Unscented Kalman Filter | Metia, S; Ha, QP; Duc, HN; Azzi, M |
| 2016-05-01 | Inverse Air-Pollutant Emission and Prediction Using Extended Fractional Kalman Filtering | Metia, S; Oduro, SD; Duc, HN; Ha, Q |
| 2015-12-01 | Multivariate adaptive regression splines models for vehicular emission prediction | Oduro, SD; Metia, S; Duc, H; Hong, G; Ha, QP |
| 2015-01-01 | Predicting carbon monoxide emissions with multivariate adaptive regression splines (MARS) and artificial neural networks (ANNs) | Oduro, SD; Metia, S; Duc, H; Ha, QP |
| 2015-01-01 | Predicting carbon monoxide emissions with multivariate adaptive regression splines (MARS) and artificial neural networks (ANNs) | Oduro, SD; Metia, S; Duc, H; Ha, QP |
| 2014-11-14 | Environmental time series analysis and estimation with extended Kalman filtering | Metia, S; Oduro, SD; Ha, QP; Duc, H; Azzi, M |
| 2014-01-01 | Air pollution prediction using Matérn function based extended fractional Kalman filtering | Metia, S; Oduro, SD; Ha, QP; Due, H |
| 2014-01-01 | Prediction of NOX vehicular emissions using on-board measurement and chassis dynamometer testing | Oduro, SD; Metia, S; Duc, H; Hong, G; Ha, QP |
| 2013-01-01 | CO<inf>2</inf> vehicular emission statistical analysis with instantaneous speed and acceleration as predictor variables | Oduro, SD; Metia, S; Duc, H; Ha, QP |
| - | IoT-Enabled Wireless Sensor Networks for Air Pollution Monitoring with Extended Fractional-Order Kalman Filtering | Metia, S; Nguyen, HAD; Ha, QP |
