[HTML][HTML] A distributed architecture for smart recycling using machine learning

D Ziouzios, D Tsiktsiris, N Baras, M Dasygenis - Future Internet, 2020 - mdpi.com
Recycling is vital for a sustainable and clean environment. Developed and developing
countries are both facing the problem of solid management waste and recycling issues …

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 …

Comparing deep learning and support vector machines for autonomous waste sorting

GE Sakr, M Mokbel, A Darwich… - 2016 IEEE …, 2016 - ieeexplore.ieee.org
Waste sorting is the process of separating waste into different types. The current trend is to
efficiently separate the waste in order to appropriately deal with it. The separation must be …

Dynamic convolutional neural network based e‐waste management and optimized collection planning

CJ Latha, K Kalaiselvi, S Ramanarayan… - Concurrency and …, 2022 - Wiley Online Library
Electronic waste, also known as e‐waste, refers to electrical or electronic devices that are
discarded from households and workplaces. These used e‐wastes are meant to be …

[HTML][HTML] A systematic literature review of waste identification in automatic separation systems

JC Arbeláez-Estrada, P Vallejo, J Aguilar… - Recycling, 2023 - mdpi.com
Proper waste separation is essential for recycling. However, it can be challenging to identify
waste materials accurately, especially in real-world settings. In this study, a systematic …

[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 …

Cognitive cloud framework for waste dumping analysis using deep learning vision computing in healthy environment

J Liu, AS Prabuwono, AW Abulfaraj, S Miniaoui… - Computers and …, 2023 - Elsevier
Increased population and usage of more unnatural particles create dangerous waste in
society. Environmental Sustainability is ensured based on proper waste management …

Waste classification system using image processing and convolutional neural networks

J Bobulski, M Kubanek - … : 15th International Work-Conference on Artificial …, 2019 - Springer
Image segmentation and classification is more and more being of interest for computer
vision and machine learning researchers. Many systems on the rise need accurate and …

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 …

Solid waste classification using deep learning techniques

AEB Alawi, AYA Saeed, F Almashhor… - 2021 International …, 2021 - ieeexplore.ieee.org
The management of waste is one of the challenging processes that involve different
parameters, including environmental, climatic, technical, socio-economic parameters. Such …