Hybrid deep learning model for accurate classification of solid waste in the society
H Zhang, H Cao, Y Zhou, C Gu, D Li - Urban Climate, 2023 - Elsevier
Due to the increasing initiatives for urbanization and the development of smart cities, waste
generation, segregation, and its management have become fundamental tasks. To provide …
generation, segregation, and its management have become fundamental tasks. To provide …
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …
smart city advancement activities have increased. A recycling process of waste relies on the …
Intelligent waste classification system using deep learning convolutional neural network
The accumulation of solid waste in the urban area is becoming a great concern, and it would
result in environmental pollution and may be hazardous to human health if it is not properly …
result in environmental pollution and may be hazardous to human health if it is not properly …
[HTML][HTML] Real time multipurpose smart waste classification model for efficient recycling in smart cities using multilayer convolutional neural network and perceptron
Urbanization is a big concern for both developed and developing countries in recent years.
People shift themselves and their families to urban areas for the sake of better education …
People shift themselves and their families to urban areas for the sake of better education …
Classification of organic and solid waste using deep convolutional neural networks
R Faria, F Ahmed, A Das, A Dey - 2021 IEEE 9th Region 10 …, 2021 - ieeexplore.ieee.org
The total amount of waste is increasing all around the world day-by-day especially in urban
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …
Municipal solid waste classification and real-time detection using deep learning methods
N Li, Y Chen - Urban Climate, 2023 - Elsevier
Waste management has become a significant issue in most developing countries. Municipal
solid waste generation has been steadily increasing over the past decade. Recycling is …
solid waste generation has been steadily increasing over the past decade. Recycling is …
[PDF][PDF] Waste classification by fine-tuning pre-trained CNN and GAN
A Alsabei, A Alsayed, M Alzahrani… - International Journal of …, 2021 - researchgate.net
Waste accumulation is becoming a significant challenge in most urban areas and if it
continues unchecked, is poised to have severe repercussions on our environment and …
continues unchecked, is poised to have severe repercussions on our environment and …
Automatic classification of solid waste using deep learning
VP Brintha, R Rekha, J Nandhini… - … Conference on Artificial …, 2020 - Springer
Solid waste management is an essential task to be carried out in day-to-day life. So an
automated recognition system using deep learning algorithm has been implemented to …
automated recognition system using deep learning algorithm has been implemented to …
Comparative analysis of multiple deep CNN models for waste classification
Waste is a wealth in a wrong place. Our research focuses on analyzing possibilities for
automatic waste sorting and collecting in such a way that helps it for further recycling …
automatic waste sorting and collecting in such a way that helps it for further recycling …
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 …