Waste classification using convolutional neural network

FA Azis, H Suhaimi, E Abas - Proceedings of the 2020 2nd international …, 2020 - dl.acm.org
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 …

[HTML][HTML] Technical solutions for waste classification and management: A mini-review

M Shreya, J Katyal, R Ramesh - Waste Management & …, 2023 - ncbi.nlm.nih.gov
The massive growth of population coupled with urbanization over the years has created a
significant challenge of increase in waste generation. India has achieved massive …

Waste profiling and analysis using machine learning

F Shaikh, N Kazi, F Khan… - 2020 second international …, 2020 - ieeexplore.ieee.org
A large amount of solid waste is generated in the urban areas, and these wastes contain
different types of substances like organic wastes, paper, plastic, metal, glass, etc. which …

An approach to waste segregation and management using convolutional neural networks

D Thanawala, A Sarin, P Verma - … in Computing and Data Sciences: 4th …, 2020 - Springer
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 …

[PDF][PDF] Artificial intelligence and machine learning in waste management and recycling

AAA Ahmed, A Asadullah - Engineering International, 2020 - academia.edu
Waste management is one of the biggest problems facing the world in any developed or
developing country. An important aspect of waste management is that the waste bin in the …

[HTML][HTML] An ensemble learning based classification approach for the prediction of household solid waste generation

A Namoun, BR Hussein, A Tufail, A Alrehaili, TA Syed… - Sensors, 2022 - mdpi.com
With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …

Real time electronic-waste classification algorithms using the computer vision based on convolutional neural network (cnn): Enhanced environmental incentives

PK Sarswat, RS Singh, SVSH Pathapati - Resources, Conservation and …, 2024 - Elsevier
An innovative approach is needed to boost the economic value of e-waste by improving
metal recovery and facilitating the separation of plastics and valuable metal components …

[HTML][HTML] Automatic classification of textile visual pollutants using deep learning networks

NH Tasnim, S Afrin, B Biswas, AA Anye… - Alexandria Engineering …, 2023 - Elsevier
Urban pollution is a massive global problem, especially in industrialized and developing
nations. Visual pollution is an issue concerned with the external noticeable appearance of …

Convolutional neural networks for computer vision-based detection and recognition of dumpsters

I Ramirez, A Cuesta-Infante, JJ Pantrigo… - Neural Computing and …, 2020 - Springer
In this paper, we propose a twofold methodology for visual detection and recognition of
different types of city dumpsters, with minimal human labeling of the image data set. Firstly …

[HTML][HTML] Deep learning for estimating the fill-level of industrial waste containers of metal scrap: a case study of a copper tube plant

K Alexopoulos, P Catti, G Kanellopoulos, N Nikolakis… - Applied Sciences, 2023 - mdpi.com
Advanced digital solutions are increasingly introduced into manufacturing systems to make
them more intelligent. Intelligent Waste Management Systems in industries allow for data …