Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Air Quality Assessment Standards and Sustainable Development in Developing Countries
| Air Quality Assessment Standards and Sustainable Development in Developing Countries |
| Autore | Yuan Guanghui |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (232 p.) |
| Soggetto topico | Pollution control |
| Soggetto non controllato |
adaptive clustering analysis
air pollutant air pollution air quality air quality evaluation standards AQI AQI indicators attribute reduction Beijing Beijing-Tianjin-Hebei region carbon emissions China collaborative filtering comprehensive pollution index analysis emission inventory entropy weight method environmental governance environmental supervision environmental target-setting Euclid approach degree method evolutionary game forecasting functional ANOVA functional principal component analysis fuzzy comprehensive evaluation fuzzy optimization model greenhouse gases grey correlation analysis haze hierarchical linear model interval grey number Jiangsu province linear time-varying GM(1 livestock measurement and environment N) model performance PM2.5 PM2.5 concentrations pollution primary pollutants PSR Model relevance analysis rough set spatial and temporal difference spatial and temporal distribution characteristics sustainable development vehicle whistleblowing wind power development |
| ISBN | 3-03928-015-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372786103321 |
Yuan Guanghui
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Analytics and Information Science for Business and Biomedical Applications II
| Big Data Analytics and Information Science for Business and Biomedical Applications II |
| Autore | Ahmed S. Ejaz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (196 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
asymptotic bias and risk
bandwidth selection Bayesian modeling big data adaptation brain network cancer causal structure learning chest X-ray images consistency correlation deep learning dividend estimation edge-preserving image denoising FCI algorithm fMRI functional connectivity functional predictor functional principal component analysis functional regression gestational weight high dimensionality high-dimensional data Human Connectome Project image sequence infant birth weight joint modeling jump regression analysis LASSO estimation linear mixed model linear mixed-effects model local smoothing longitudinal data lung diseases maternal weight gain mobile device multicollinearity network analysis nonparametric regression nonparametric testing online health community options markets PC algorithm pretest and shrinkage estimation pretrained neural networks ridge estimation social support sparse group regularization spatio-temporal data statistics transfer learning wearable device data weighted least squares |
| ISBN | 3-0365-5550-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637784003321 |
|
Ahmed S. Ejaz
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||