Recent advances in applications of artificial intelligence in solid waste management: A review
Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …
environmental impacts. However, the current solid waste management practices encounter …
A smart municipal waste management system based on deep-learning and Internet of Things
C Wang, J Qin, C Qu, X Ran, C Liu, B Chen - Waste Management, 2021 - Elsevier
A proof-of-concept municipal waste management system was proposed to reduce the cost of
waste classification, monitoring and collection. In this system, we utilize the deep learning …
waste classification, monitoring and collection. In this system, we utilize the deep learning …
A systematic literature review of waste identification in automatic separation systems
Proper waste separation is essential for recycling. However, it can be challenging to identify
waste materials accurately, especially in real-world settings. In this study, a systematic …
waste materials accurately, especially in real-world settings. In this study, a systematic …
An ensemble learning based classification approach for the prediction of household solid waste generation
With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …
generation has become a fundamental task. Recent studies have started applying machine …
Improving circularity in municipal solid waste management through machine learning in Latin America and the Caribbean
Abstract Machine Learning (ML) consists of a set of methods that allow a system to learn
data patterns and has applications in many stages of MSWM. Improvements in MSWM …
data patterns and has applications in many stages of MSWM. Improvements in MSWM …
Waste classification from digital images using ConvNeXt
In this paper, ConvNeXt is selected as a model for waste classification from digital images.
ConvNeXt is a CNN-based backbone network that has been proposed to further improve the …
ConvNeXt is a CNN-based backbone network that has been proposed to further improve the …
Target electromagnetic detection method in underground environment: A review
X Wang, P Wang, X Zhang, Y Wan, H Shi… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Underground target detection plays an important role in maintaining underground space
security and relies on efficient real-time detection methods. Electromagnetic detection …
security and relies on efficient real-time detection methods. Electromagnetic detection …
Chemical signatures to identify the origin of solid ashes for efficient recycling using machine learning
Solid ashes constitute the world's leading environmental problem and their efficient
recycling requires specific origin information. Chemical signatures encode the …
recycling requires specific origin information. Chemical signatures encode the …
[PDF][PDF] Development of computer vision algorithms for multi-class waste segregation and their analysis
N Narayanswamy, A Rajak… - Emerging Science Journal, 2022 - scholar.archive.org
Classification of waste for recycling has been a focal point for scientists interested in the field
of conservation of the environment. Recycling consists of numerous steps, of which one of …
of conservation of the environment. Recycling consists of numerous steps, of which one of …
Literature mapping of waste sorting and recycling behavior research: a visual analysis using CiteSpace
Y Zhao, J Zhang - Environmental Science and Pollution Research, 2023 - Springer
As the severity of global waste pollution continues to escalate, governments are increasingly
prioritizing the promotion of waste sorting. This study engaged in the literature mapping of …
prioritizing the promotion of waste sorting. This study engaged in the literature mapping of …