… waste classification system that is able to separate different components of waste using
the Machine learning … This system can be used to automatically classify waste and help in …

… Therefore, we should look for ways to separate this waste. One of the opportunities is the
use of deep learning and convolutional neural network. In household waste, the most …

… deep-learning system (MHS) to automatically sort waste disposed of by individuals in the
urban public area. This system deploys a high-resolution camera to capture waste … wastes as …

… was made of the existing deep learning techniques that have been proposed to classify
waste. This paper proposes an architecture for the classification of litter into the categories …

… in correctly identifying 8 kinds of medical waste with an accuracy of 97.2%; the … a deep
learning-based method for automatic detection and classification of 8 kinds of medical waste with …

… techniques to provide users instantaneous waste classification into trash, recycling, and … to
detect and classify waste items. Our best model, a deep learning residual neural network with …

… Yet, recycling requires the sorting of solid waste, which is complex and expensive. In an … a
Deep Learning approach using computer vision to automatically identify the type of waste and …

… classification and the recognition of photos. This study introduces a waste classification method
using advanced deep … of green waste is a major problem. In addition to the separation of …

… This study aims to improve the accuracy of waste sorting through deep learning and to
provide a possibility for intelligent waste classification based on computer vision/mobile phone …

… Therefore, this study proposed a deep learning model for waste management. In contrast
to the studies in the literature, the proposed study investigated a middle eastern dataset while …