Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron

Urbanization is a big concern for both developed and developing countries in recent years. People shift themselves and their families to urban areas for the sake of better education and a modern lifestyle. Due to rapid urbanization, cities are facing huge challenges, one of which is waste management...

Full description

Saved in:

Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 21; no. 14; p. 4916
Main Authors:	Gondal, Ali Usman, Sadiq, Muhammad Imran, Ali, Tariq, Irfan, Muhammad, Shaf, Ahmad, Aamir, Muhammad, Shoaib, Muhammad, Glowacz, Adam, Tadeusiewicz, Ryszard, Kantoch, Eliasz
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 19-07-2021 MDPI
Subjects:	Accuracy Artificial intelligence Belt conveyors Classification Consumption Datasets Deep learning Developing countries Hammers Industrialized nations Landfill LDCs Literature reviews Machine learning Model accuracy multilayer convolutional neural network (ML-CNN) multilayer perceptron Multilayer perceptrons Municipalities Neural networks Real time Recycling Support vector machines Urban areas Urbanization waste classification Waste management
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!