[HTML][HTML] E-waste management in Nepal: A case study overcoming challenges and opportunities
B Khatiwada, R Jariyaboon, K Techato - e-Prime-Advances in Electrical …, 2023 - Elsevier
The main objective of this paper is to design and implement a novel automatic E-Waste
Management System using machine learning algorithms. A Waste Management System …
Management System using machine learning algorithms. A Waste Management System …
Forecasting domestic waste generation during successive COVID-19 lockdowns by Bidirectional LSTM super learner neural network
Accurate prediction of domestic waste generation is a challenging task for municipalities to
implement sustainable waste management strategies. In the present study, domestic waste …
implement sustainable waste management strategies. In the present study, domestic waste …
A Deep Learning-Based approach to Segregate Solid Waste Generated in Residential Areas
S Sundaralingam, N Ramanathan - Engineering, Technology & Applied …, 2023 - etasr.com
Residential waste is a substantial contributor to solid waste generation, which is
approximately around 36.5 million tons annually in India. The waste created in households …
approximately around 36.5 million tons annually in India. The waste created in households …
A CNN-Based Smart Waste Management System Using TensorFlow Lite and LoRa-GPS Shield in Internet of Things Environment
Urban areas are facing challenges in waste management systems due to the rapid growth of
population in cities, causing huge amount of waste generation. As traditional waste …
population in cities, causing huge amount of waste generation. As traditional waste …
Multi-objective solid waste classification and identification model based on transfer learning method
Y Chen, J Sun, S Bi, C Meng, F Guo - Journal of Material Cycles and …, 2021 - Springer
The rapid social development has given rise to a growing concern over environmental
issues, one of which is the disposal of municipal solid waste. Recycling is considered as one …
issues, one of which is the disposal of municipal solid waste. Recycling is considered as one …
Recyclable waste image recognition based on deep learning
This study aims to improve the accuracy of waste sorting through deep learning and to
provide a possibility for intelligent waste classification based on computer vision/mobile …
provide a possibility for intelligent waste classification based on computer vision/mobile …
Determining the fullness of garbage containers by deep learning
A Oğuz, ÖF Ertuğrul - Expert Systems with Applications, 2023 - Elsevier
An essential point in waste management, which is a matter of great importance for the
environment and nature, is waste collection from temporary storage points. Since the …
environment and nature, is waste collection from temporary storage points. Since the …
Waste classification and segregation: Machine learning and iot approach
S Yadav, A Shanmugam, V Hima… - 2021 2nd international …, 2021 - ieeexplore.ieee.org
In this paper, we have proposed a fully automated waste management system to implement
waste segregation. The method adopted is computer vision and deep learning paired with …
waste segregation. The method adopted is computer vision and deep learning paired with …
Automatic detection and classification system of domestic waste via multimodel cascaded convolutional neural network
Domestic waste classification was incorporated into legal provisions recently in China.
However, relying on manpower to detect and classify domestic waste is highly inefficient. To …
However, relying on manpower to detect and classify domestic waste is highly inefficient. To …