Carbon/Nitrogen Ratio Estimation for Urban Organic Waste Using Convolutional Neural Networks.
Andrea de Anda-TrasviñaAlejandra Nieto-GaribayFernando D. Von BorstelEnrique Troyo-DiéguezJosé Luis García-HernándezJoaquín Gutiérrez JagüeyPublished in: Computación y Sistemas (CyS) (2023)
Keyphrases
- convolutional neural networks
- carbon dioxide
- climate change
- convolutional network
- public transport
- parameter estimation
- standard deviation
- urban areas
- urban planning
- socio economic
- estimation accuracy
- neural network
- parametric models
- estimation algorithm
- density estimation
- maximum likelihood
- artificial intelligence
- learning algorithm