Results 271 to 280 of about 4,025,706 (340)

A Deep Learning Approach for Improving Waste Classification Accuracy with ResNet50 Feature Extraction

International Conference on Ubiquitous Information Management and Communication
This research investigates the use of deep learning for automatic waste classification, specifically using ResNet50 for feature extraction and combining it with various classification algorithms.
Herdianti Darwis, Rahma Puspitasari, Purnawansyah, Wistiani Astuti, Dedy Atmajaya, Mardiyyah Hasnawi   +5 more
semanticscholar   +1 more source

AI Driven Waste Classification for Smart Recycling

International Conference on Database Theory
Having advanced technologies is critical to optimize the efficiency of sorting, as global waste generation continues to increase. This study categorizes waste types (plastic, glass, metal, organic, and hazardous waste) - the VGG16 architecture, a type of
Narendar Singh, K. Sudheer Reddy, Rajanikanth Aluvalu   +2 more
semanticscholar   +1 more source

Development of Automatic Waste Classification System using CNN-Based Deep Learning to Support Smart Waste Management

INOVTEK Polbeng - Seri Informatika
This research develops an automatic waste classification system using deep learning based on Convolutional Neural Network (CNN) to support the implementation of Smart Waste Management (SWM). The main objective of this research is to design and test a CNN
Luntungan Stephen, Pieters
semanticscholar   +1 more source

Waste Classification System for Low-Level Radioactive Wastes

MRS Proceedings, 1982
ABSTRACTSome low-level radioactive waste represents both a chemical and radiological hazard, and it is desirable that management practices take this into account. This paper describes a waste classification system that could provide guidance on how mixed wastes could be separated for disposal, and the degree of disposal isolation each waste material or
L. E. Wickham, S. K. Rope
openaire   +1 more source

Design and implementation of an intelligent waste classification device

Computing and Artificial Intelligence
This study presents a guideline for an intelligent waste classification device developed using a Raspberry Pi, a camera, and Google’s Teachable Machine (TM) for image recognition.
Yung-Hsiang Chen, Chan-Hong Chao
semanticscholar   +1 more source

Examining Factors Influencing Public Knowledge, Risk Perception, and Policy Support for Waste Classification: A Multigroup Comparison of the Cognitive Mediation Model Based on Gender Differences

Environmental Communication, 2023
Using the cognitive mediation model, this study aims to examine how media attention affects knowledge of the ways to implement waste classification via different information processing strategies, and ultimately influences risk perception of ...
Liang Chen, Wei Zheng, L. Fu
semanticscholar   +1 more source

Toward Privacy-Preserving Waste Classification in the Internet of Things

IEEE Internet of Things Journal
Diffuse waste data and associated privacy concerns present significant challenges for effective waste classification in the Internet of Things (IoT) realm.
Min Quan, Dinh C. Nguyen, Van-Dinh Nguyen, M. Wijayasundara, S. Setunge, P. Pathirana   +5 more
semanticscholar   +1 more source

Enhanced CNN Architecture for Accurate Waste Classification in Smart Cities

2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)
Waste management is one of the biggest challenges of the present world as the generation of waste has risen tremendously. In this paper we introduce an automated waste classification system that uses Convolutional Neural Networks to effectively sort ...
Kabilan B, Sairam R, Praveen M
semanticscholar   +1 more source

Automatic Image-Based Waste Classification

2019
The management of solid waste in large urban environments has become a complex problem due to increasing amount of waste generated every day by citizens and companies. Current Computer Vision and Deep Learning techniques can help in the automatic detection and classification of waste types for further recycling tasks.
Victoria Ruiz, Ángel Sánchez, José F. Vélez, Bogdan Raducanu   +3 more
openaire   +1 more source

Automated Waste Classification using Convolutional Neural Network

International Conference on Software Technology and Engineering
Efficient waste management relies on precise waste classification, which facilitates recycling, composting, and appropriate disposal. Conventional waste classification methods often involve manual sorting or simple rule-based systems, which are labor ...
R. Thinakaran, J. Somasekar, Vikram Neerugatti, P. G. Saran   +3 more
semanticscholar   +1 more source