Waste Classification using Convolutional Neural Network-Reference-Cited by-同舟云学术

Waste Classification using Convolutional Neural Network

Published:2020-08-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 2nd International Conference on Information Technology and Computer Communications
language:
Short-container-title:

Author:

Azis Fatin Amanina¹,Suhaimi Hazwani¹,Abas Emeroylariffion¹

Affiliation:

1. Universiti Brunei Darussalam

Publisher

ACM

Reference17 articles.

1. Implications of China’s foreign waste ban on the global circular economy

2. Design and Implementation of a Microcontroller-Based Automatic Waste Management Sorting Unit for a Recycling Plant;Williams E.;Am. J. Eng. Res.,2016

3. Community Participation on Solid Waste Segregation Through Recycling Programmes in Putrajaya

4. Implementation of Smartbin using Convolutional Neural Networks;Hulyalkar S.;Int. Res. J. Eng. Technol.,2018

5. Constructing an automatic object-recognition algorithm using labeling information for efficient recycling of WEEE

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing trash classification in smart cities using federated deep learning;Scientific Reports;2024-05-23

2. Towards Sustainable Waste Management: Exploring Machine Learning and Deep Learning Solutions for Biodegradable and Non-Biodegradable Waste Identification;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

3. Intelligent waste classification approach based on improved multi-layered convolutional neural network;Multimedia Tools and Applications;2024-04-06

4. A waste separation system based on sensor technology and deep learning: A simple approach applied to a case study of plastic packaging waste;Journal of Cleaner Production;2024-04

5. Towards open domain-specific recognition using Quad-Channel Self-Attention Reciprocal Point Learning and Autoencoder;Knowledge-Based Systems;2024-01