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 …
Recycling channel design and coordination in a reverse supply chain with customer green preference
This study investigates the selection of recycling mode and the coordination mechanism in a
reverse supply chain (RSC) that consists of one remanufacturer, one traditional recycler, and …
reverse supply chain (RSC) that consists of one remanufacturer, one traditional recycler, and …
[HTML][HTML] Blockchain technology for sustainable waste management
The global waste and resource crises necessitate and give great impetus for better and
more sustainable management of waste. Increasingly, resource and waste streams that …
more sustainable management of waste. Increasingly, resource and waste streams that …
Iot based intelligent route selection of wastage segregation for smart cities using solar energy
The waste management is a major problem all over the world. The smart is an innovative
automated device for the separate collection of used absorbent hygiene products. The …
automated device for the separate collection of used absorbent hygiene products. The …
Plastic waste management through the development of a low cost and light weight deep learning based reverse vending machine
The management of the abundant amount of used plastic bottle waste is a major concern
nowadays, because it is a major contributor to landfills and overburdens waste processing …
nowadays, because it is a major contributor to landfills and overburdens waste processing …
Public participation in designing the recycling bins to encourage recycling
KM Keramitsoglou, KP Tsagarakis - Sustainability, 2018 - mdpi.com
Recycling bin design has been shown to be important in guiding and changing waste
management practices. The top-down imposition of recycling scheme components, the …
management practices. The top-down imposition of recycling scheme components, the …
Revising the effectiveness of municipal waste management in Hong Kong
Although there have been many studies related to the municipal solid waste (MSW) problem
in Hong Kong, only limited research has recently discussed the spatial variation of citizens' …
in Hong Kong, only limited research has recently discussed the spatial variation of citizens' …
Holistic solution design and implementation for smart city recycle waste management case study: Saensuk city
K Thibuy, S Thokrairak… - 2020-5th International …, 2020 - ieeexplore.ieee.org
Recycling waste is valuable waste due to its potential to be used as raw material. According
to our observation and data collection at the Bangsaen Beach, Saensuk City, Chon Buri …
to our observation and data collection at the Bangsaen Beach, Saensuk City, Chon Buri …
Automatic trash classification using convolutional neural network machine learning
P Tiyajamorn, P Lorprasertkul… - … on Cybernetics and …, 2019 - ieeexplore.ieee.org
In our current society, there is an increasing amount of trash generated every day. In
Thailand, this has become a severe problem, as there are more than 27 million tons of trash …
Thailand, this has become a severe problem, as there are more than 27 million tons of trash …
Fault detection of gearbox by multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm
S Nao, Y Wang - Scientific Reports, 2023 - nature.com
A novel detection method based on multivariate extended variational mode decomposition-
based time–frequency images and incremental RVM algorithm (MEVMDTFI–IRVM) is …
based time–frequency images and incremental RVM algorithm (MEVMDTFI–IRVM) is …