Applications of convolutional neural networks for intelligent waste identification and recycling: A review
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …
applications of artificial intelligence in waste management have generated a large amount of …
Emotion recognition in EEG signals using deep learning methods: A review
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …
planning, reasoning, and other mental states. As a result, they are considered a significant …
Garbage detection and classification using a new deep learning-based machine vision system as a tool for sustainable waste recycling
Waste recycling is a critical issue for environment pollution management while garbage
classification determines the recycling efficiency. In order to reduce labor costs and increase …
classification determines the recycling efficiency. In order to reduce labor costs and increase …
Sensor-based technologies in effective solid waste sorting: successful applications, sensor combination, and future directions
Y Zhao, J Li - Environmental Science & Technology, 2022 - ACS Publications
The increase in global population and improvement of living standards have stirred up a
continuous increase in solid waste generation, while simple incineration and landfilling …
continuous increase in solid waste generation, while simple incineration and landfilling …
[HTML][HTML] Solid Waste Detection Using Enhanced YOLOv8 Lightweight Convolutional Neural Networks
P Li, J Xu, S Liu - Mathematics, 2024 - mdpi.com
As urbanization accelerates, solid waste management has become one of the key issues in
urban governance. Accurate and efficient waste sorting is a crucial step in enhancing waste …
urban governance. Accurate and efficient waste sorting is a crucial step in enhancing waste …
A lightweight deep neural network with higher accuracy
L Zhao, L Wang, Y Jia, Y Cui - Plos one, 2022 - journals.plos.org
To improve accuracy of the MobileNet network, a new lightweight deep neural network is
designed based on the MobileNetV2 network. Firstly, it modifies the network depth of …
designed based on the MobileNetV2 network. Firstly, it modifies the network depth of …
Visual-tactile manipulation to collect household waste in outdoor
This work presents a perception system applied to robotic manipulation, that is able to assist
in navigation, household waste classification and collection in outdoor environments. This …
in navigation, household waste classification and collection in outdoor environments. This …
Design and implementation of an artificial intelligence of things-based autonomous mobile robot system for cleaning garbage
This article proposes an autonomous mobile robot (AMR) system based on the artificial
intelligence of things (AIoT) for collecting garbage. The proposed system consists of an AMR …
intelligence of things (AIoT) for collecting garbage. The proposed system consists of an AMR …
Multi-category sorting of plastic waste using Swin Transformer: A vision-based approach
Z Wang, L Ye, F Chen, T Zhou, Y Zhao - Journal of Environmental …, 2024 - Elsevier
Sorting out plastic waste (PW) from municipal solid waste (MSW) by material type is crucial
for reutilization and pollution reduction. However, current automatic separation methods are …
for reutilization and pollution reduction. However, current automatic separation methods are …
Optimization of an intelligent sorting and recycling system for solid waste based on image recognition technology
H Chen - Advances in Mathematical Physics, 2021 - Wiley Online Library
In this paper, the technique of image recognition algorithm is used to conduct an in‐depth
study and analysis of the intelligent classification and recycling system of solid waste and to …
study and analysis of the intelligent classification and recycling system of solid waste and to …