… A ground-up built convolutional neural network (CNN) and … large datasets in deep neural
networks to achieve improved … IoT based framework for smart waste management system …

… from previous knowledge and less effort in feature extraction and design [9]. The … of smart
waste classification system is described. The multilayer convolutional neural network works in …

… of a multilayer hybrid convolution neural network resulting in an … The authors in [9] have
designed an inventive DRL scheme (… Intelligent waste management system using deep learning …

… Deep-learning convolution neural networks (CNN) were applied to realize the … waste
management system, as illustrated in Fig. 1. (1) Smart garbage bins are modular in design and …

… This section describes the design principle and development process of the proposed …
First of all, we will present how Convolutional Neural Network (CNN) works for image …

… The main features of this system are that it is designed to learn from experience and to draw
… In this research, support vector machines (SVM) and convolutional neural networks (CNN) …

… The aim of this research is to develop a smart waste management system … Research on
waste sorting using deep neural networks is … The system is designed and trained to classify and …

… a need for a proper plan for a waste management system for the … develop a smart waste
management system. In previous work, the … Application of convolutional neural network based on …

… is the largest dataset on domestic waste images. Furthermore, a smart trash can is designed
and applied to a Shanghai community, which helped to make waste recycling more efficient. …

… AlexNet is an eight-layer convolutional neural network with the first five layers being convolutional
… The smart trash bin we designed can intelligently recycle trash, and the mobile phone …