Artificial intelligence and data science in environmental sensing
Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for...
| Otros Autores: | , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
London, UK :
Elsevier
[2022]
|
| Colección: | Cognitive data science in sustainable computing.
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835416006719 |
Tabla de Contenidos:
- Smart sensing technologies for wastewater treatment plants
- Advancements and artificial intelligence approaches in antennas for environmental sensing
- Intelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transport
- Language of response surface methodology as an experimental strategy for electrochemical wastewater treatment process optimization
- Artificial intelligence and sustainability: solutions to social and environmental challenges
- Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines
- Recent advances of image processing techniques in agriculture
- Tuning swarm behavior for environmental sensing tasks represented as coverage problems
- Machine learning applications for developing sustainable construction materials
- The AI-assisted removal and sensor-based detection of contaminants in the aquatic environment
- Recent progress in biosensors for wastewater monitoring and surveillance
- Machine learning in surface plasmon resonance for environmental monitoring.
