Building Smart System by Applied Deep Learning and Spatial Indoor Agent Based Model for a New Adaptation University Learning Process Post Covid-19
The impact of COVID-19 implied various restrictions on people’s mobility, especially for the higher education communities, by implementing the Learning from Home approach. This approach has altered the behavior of a human on a daily basis for a year long. Subsequently, the global vaccination program...
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/83398 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Building Smart System by Applied Deep Learning and Spatial Indoor Agent Based Model for a New Adaptation University Learning Process Post Covid-19
- Scenarios for Sustainable Final Waste Treatment in Developing Country
- Optimizing Indoor Environmental Quality in Smart Buildings Using Deep Learning
- Do gender and teaching experience influence prospective teachers’ self-efficacy in utilizing computer-based learning media?1
- Smart Built Environment Including Smart Home, Smart Building and Smart City: Definitions and Applied Technologies
- Applying Rule-Based Context Knowledge to Build Abstract Semantic Maps of Indoor Environments
- A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings