… Focus of this study is to classify recyclable materials, hence waste management and
recycling systems are among the essential parts of a sustainable economy. Using intelligent …

… It also includes environmentally sound waste management through … Nets [16]. As the name
suggests, these are highly efficient implementations of Convolutional Neural Networks (CNN)…

… management via deep learning-based methods. We propose a multi-task learning … on a
convolutional neural network, which can be used to simultaneously identify and locate wastes in …

… SWM areas, namely waste identification and segregation and prediction of waste generation.
The … types of waste. The study also explains the deep convolutional neural network with the …

… by researches in municipal solid waste management (MSWM). … included artificial neural
networks, municipal solid waste/MSW … convolutional neural network (CNN) structure like deep …

… waste management system to manage a variety of waste … To simplify the process, we propose
an intelligent waste … (ResNet-50) Convolutional Neural Network model which is a machine …

… deep neural networks and utilizes the concept of smart waste management generating deep
… the proposed model with our suggested deep neural network was assessed against three …

… deep study of the problem of carrot classification and show that convolutional neural networks
… Additionally, we improve the convolutional neural network (CNN) based on learning a …

… , source separated waste collection and materials recovery is … Convolutional neural networks
and waste classification were … to waste recognition, waste sorting, waste identification, …

… of the waste management system based on deep learning and … waste using a convolutional
neural network (CNN), a popular … , we will present how Convolutional Neural Network (CNN) …