Applying machine learning approach in recycling
Waste generation has been increasing drastically based on the world's population and
economic growth. This has significantly affected human health, natural life, and ecology. The …
economic growth. This has significantly affected human health, natural life, and ecology. The …
Critical review of real-time methods for solid waste characterisation: Informing material recovery and fuel production
Waste management processes generally represent a significant loss of material, energy and
economic resources, so legislation and financial incentives are being implemented to …
economic resources, so legislation and financial incentives are being implemented to …
An internet of things based smart waste management system using LoRa and tensorflow deep learning model
Traditional waste management system operates based on daily schedule which is highly
inefficient and costly. The existing recycle bin has also proved its ineffectiveness in the …
inefficient and costly. The existing recycle bin has also proved its ineffectiveness in the …
Assessment of performance and challenges in use of commercial automated sorting technology for plastic waste
C Lubongo, P Alexandridis - Recycling, 2022 - mdpi.com
Recycling plastic is an important step towards a circular economy. Attaining high-quality
recycled plastics requires the separation of plastic waste by type, color, and size prior to …
recycled plastics requires the separation of plastic waste by type, color, and size prior to …
Common garbage classification using mobilenet
Garbage classification is the first step in waste segregation, recycling, or reuse. MobileNet
was used to generate a model that classifies common trash according to the following …
was used to generate a model that classifies common trash according to the following …
Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models
Unless adequate measures are taken for waste litter, the ecological balance may deteriorate
over time. The wastes disposed of the trash can be divided into two classes that are organic …
over time. The wastes disposed of the trash can be divided into two classes that are organic …
The use of modern technology in smart waste management and recycling: artificial intelligence and machine learning
Waste management is one of the primary problem that the world faces irrespective of the
case of developed or developing country. The key issue in the waste management is that the …
case of developed or developing country. The key issue in the waste management is that the …
Computer vision based two-stage waste recognition-retrieval algorithm for waste classification
The main objective of this study is to classify domestic waste via computer vision and sort it
automatically according to the four-category regulation. A novel two-stage Waste …
automatically according to the four-category regulation. A novel two-stage Waste …
[HTML][HTML] Recent developments in technology for sorting plastic for recycling: The emergence of artificial intelligence and the rise of the robots
C Lubongo, MAA Bin Daej, P Alexandridis - Recycling, 2024 - mdpi.com
Plastics recycling is an important component of the circular economy. In mechanical
recycling, the recovery of high-quality plastics for subsequent reprocessing requires plastic …
recycling, the recovery of high-quality plastics for subsequent reprocessing requires plastic …
A vision detection scheme based on deep learning in a waste plastics sorting system
S Wen, Y Yuan, J Chen - Applied Sciences, 2023 - mdpi.com
The preliminary sorting of plastic products is a necessary step to improve the utilization of
waste resources. To improve the quality and efficiency of sorting, a plastic detection scheme …
waste resources. To improve the quality and efficiency of sorting, a plastic detection scheme …