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 …

Compostnet: An image classifier for meal waste

S Frost, B Tor, R Agrawal… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Many businesses, cafes, and outdoor spaces provide trash, recycling, and composting bins,
requiring consumers to decipher instructional text, icons, or images in order to sort their …

Electronically assisted automatic waste segregation

S Nandhini, SS Mrinal, N Balachandran… - … on Trends in …, 2019 - ieeexplore.ieee.org
Increasing urbanization has led to a major waste management crisis with the proliferation of
improperly planned structures having no proper facility to collect, segregate and process …

Convowaste: An automatic waste segregation machine using deep learning

MS Nafiz, SS Das, MK Morol… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Nowadays, proper urban waste management is one the biggest concerns for maintaining a
green and clean environment. An automatic waste segregation system can be a viable …

Smart self-power generating garbage management system using deep learning for smart cities

M Thamarai, VS Naresh - Microprocessors and Microsystems, 2023 - Elsevier
Population growth and industrialization lead to a proportionate increase in cities' daily waste
generation rates. Communities in developing cities often turn to waste disposal methods that …

Automatic image-based waste classification

V Ruiz, Á Sánchez, JF Vélez, B Raducanu - … 7, 2019, Proceedings, Part II 8, 2019 - Springer
The management of solid waste in large urban environments has become a complex
problem due to increasing amount of waste generated every day by citizens and companies …

Recyclable waste classification using computer vision and deep learning

N Ramsurrun, G Suddul, S Armoogum… - … zooming innovation in …, 2021 - ieeexplore.ieee.org
Recycling solid waste is an important step to reduce harmful impact such as sanitary and
health problems resulting from the over use of landfills. Yet, recycling requires the sorting of …

[HTML][HTML] Machine learning approach for a circular economy with waste recycling in smart cities

X Chen - Energy Reports, 2022 - Elsevier
The information and communication technology (ICT) makes the smart city exchange
information with the general public and deliver higher-quality services to citizens. The …

Deep learning for plastic waste classification system

J Bobulski, M Kubanek - Applied Computational Intelligence …, 2021 - Wiley Online Library
Plastic waste management is a challenge for the whole world. Manual sorting of garbage is
a difficult and expensive process, which is why scientists create and study automated sorting …

[HTML][HTML] Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild

D Sirimewan, M Bazli, S Raman, SR Mohandes… - Journal of environmental …, 2024 - Elsevier
The construction industry generates a substantial volume of solid waste, often destinated for
landfills, causing significant environmental pollution. Waste recycling is decisive in …