Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine
A reverse vending machine motivates citizens to bring recyclable waste by rewarding them, which is a viable solution to increase the recycling rate. Reverse vending machines generally use near-infrared sensors, barcode sensors, or cameras to classify recycling resources. However, sensor-based revers...
Guardado en:
Autores principales: | Taeyoung Yoo, Seongjae Lee, Taehyoun Kim |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0ccda1ae7f354ff8bbbcd2d7c2740b00 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Diagnosis of Alzheimer’s Disease with Ensemble Learning Classifier and 3D Convolutional Neural Network
por: Peng Zhang, et al.
Publicado: (2021) -
Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans
por: Rohit Kundu, et al.
Publicado: (2021) -
Multimodal Medical Image Fusion Based on Gabor Representation Combination of Multi-CNN and Fuzzy Neural Network
por: Lifang Wang, et al.
Publicado: (2021) -
Comparison and Explanation of Forecasting Algorithms for Energy Time Series
por: Yuyi Zhang, et al.
Publicado: (2021) -
Utilization of Unsigned Inputs for NAND Flash-Based Parallel and High-Density Synaptic Architecture in Binary Neural Networks
por: Sung-Tae Lee, et al.
Publicado: (2021)