Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production

AI Khan, ASA Alghamdi, YB Abushark, F Alsolami… - Chemosphere, 2022 - Elsevier
The growth and implementation of biofuels and bioenergy conversion technologies play an
important part in the production of sustainable and renewable energy resources in the …

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 …

Design and development of smart Internet of Things–based solid waste management system using computer vision

SS Mookkaiah, G Thangavelu, R Hebbar… - … Science and Pollution …, 2022 - Springer
Municipal solid waste (MSW) management currently requires critical attention in ensuring
the best principles of socio-economic attributes such as environmental protection, economic …

[PDF][PDF] An artificial intelligence based predictive approach for smart waste management

AB Jude, D Singh, S Islam, M Jameel… - Wirel. Pers …, 2021 - researchgate.net
Waste management is one of the world's biggest challenges, either in the developed or the
emerging economies. The biggest problem with pollution is that the compost heap is well …

Precision measurement for industry 4.0 standards towards solid waste classification through enhanced imaging sensors and deep learning model

LW Qin, M Ahmad, I Ali, R Mumtaz… - Wireless …, 2021 - Wiley Online Library
Achievement of precision measurement is highly desired in a current industrial revolution
where a significant increase in living standards increased municipal solid waste. The current …

A combination model based on transfer learning for waste classification

GL Huang, J He, Z Xu, G Huang - … and Computation: Practice …, 2020 - Wiley Online Library
The increasing amount of solid waste is becoming a significant problem that needs to be
addressed urgently. The reliable and accurate classification method is a crucial step in …

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 …

Solid waste image classification using deep convolutional neural network

N Nnamoko, J Barrowclough, J Procter - Infrastructures, 2022 - mdpi.com
Separating household waste into categories such as organic and recyclable is a critical part
of waste management systems to make sure that valuable materials are recycled and …

A smart municipal waste management system based on deep-learning and Internet of Things

C Wang, J Qin, C Qu, X Ran, C Liu, B Chen - Waste Management, 2021 - Elsevier
A proof-of-concept municipal waste management system was proposed to reduce the cost of
waste classification, monitoring and collection. In this system, we utilize the deep learning …

Effect of transfer learning on the performance of VGGNet-16 and ResNet-50 for the classification of organic and residual waste

F Wu, H Lin - Frontiers in Environmental Science, 2022 - frontiersin.org
It is crucial to realize the municipal solid waste (MSW) classification in terms of its treatments
and disposals. Deep learning used for the classification of residual waste and wet waste …