[HTML][HTML] Intelligent waste classification approach based on improved multi-layered convolutional neural network
This study aims to improve the performance of organic to recyclable waste through deep
learning techniques. Negative impacts on environmental and Social development have …
learning techniques. Negative impacts on environmental and Social development have …
Waste classification using convolutional neural network
Recycling of waste from households and industries, is one of the methods that has been
proposed to reduce the ever-increasing pressure on landfills. Different types of waste types …
proposed to reduce the ever-increasing pressure on landfills. Different types of waste types …
Classification of waste materials using CNN based on transfer learning
Waste Management is important for humans as well as nature for healthy life and a clean
environment. The major step for effective waste management is the segregation of waste …
environment. The major step for effective waste management is the segregation of waste …
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 …
Waste Segregation using Deep Learning-based Convolutional Neural Network Model
Waste segregation is a major issue faced by recycling systems in big cities across the
country. Annually, about 62 million tons of trash are generated in India, with plastic materials …
country. Annually, about 62 million tons of trash are generated in India, with plastic materials …
An approach to waste segregation and management using convolutional neural networks
Population explosion in India has led to an outburst of some major concerns, one of which is
the waste generation and disposal system. India is accountable for producing 12% of the …
the waste generation and disposal system. India is accountable for producing 12% of the …
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 …
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 …
Intelligent Waste Material Classification Using EfficientNet-B3 Convolutional Neural Network for Enhanced Waste Management
R Tripathi, H Shetty, K Patil, P Ingawale… - … Conference on Self …, 2023 - ieeexplore.ieee.org
In urban environments, the escalating accumulation of solid waste has emerged as a
pressing environmental and health concern, underscoring the need for effective waste …
pressing environmental and health concern, underscoring the need for effective waste …
An Automated Approach to Waste Classification Using Deep Learning
S Loganayagi, D Usha - 2023 Fifth International Conference on …, 2023 - ieeexplore.ieee.org
Waste management has been done by humans through direct monitoring and classification
of the products or items that are to be sorted-out. Waste management are carried out in …
of the products or items that are to be sorted-out. Waste management are carried out in …