Deep learning based a comprehensive analysis for waste prediction

A Utku, SK Kaya - Operational Research in Engineering Sciences: Theory …, 2022 - oresta.org
In its simplest definition, waste can be defined as any substance that is used, not needed
and causes harm to the environment. Waste management covers control activities such as …

Prediction of Chloride Diffusion Coefficient in Concrete Based on Machine Learning and Virtual Sample Algorithm

FY Zhou, NJ Tao, YR Zhang, WB Yuan - Sustainability, 2023 - mdpi.com
The durability degradation of reinforced concrete was mainly caused by chloride ingress.
Former studies have used component parameters of concrete to predict chloride diffusion by …

Assessment of the neutrosophic Fuzzy-AHP and predictive power of some machine learning approaches for maize silage soil quality

NS Kaya, O Dengiz - Computers and Electronics in Agriculture, 2024 - Elsevier
Agricultural soil quality has become a noteworthy subject for study because of the rising
awareness surrounding sustainable farming, the decrease in farmland due to urban growth …

Machine learning models for estimating contamination across different curbside collection strategies

T Runsewe, H Damgacioglu, L Perez, N Celik - Journal of environmental …, 2023 - Elsevier
Contaminated recyclables, which are frequently discarded as waste, pose a significant
challenge to the implementation of a circular economy. These contaminated recyclables …

[HTML][HTML] Smart waste management: A paradigm shift enabled by artificial intelligence

DB Olawade, O Fapohunda, OZ Wada… - Waste Management …, 2024 - Elsevier
Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

Long short-term memory neural network and improved particle swarm optimization–based modeling and scenario analysis for municipal solid waste generation in …

D Wang, Y Yuan, Y Ben, H Luo, H Guo - Environmental Science and …, 2022 - Springer
Accurate estimations of municipal solid waste (MSW) generation are vital to effective MSW
management systems. While various single-point estimation approaches have been …

Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation

O Mudannayake, D Rathnayake, JD Herath… - IEEE …, 2022 - ieeexplore.ieee.org
Municipal Solid Waste (MSW) management enact a significant role in protecting public
health and the environment. The main objective of this paper is to explore the utility of using …

Evaluation of knowledge, attitude and practice (KAP) toward waste separation at source: the case of Lao Cai City, Lao Cai Province, Vietnam

LTT Loan, DK Chung, L Van Duy, NT Thiem… - Journal of Material …, 2023 - Springer
Municipal solid waste (MSW) management is a challenging task due to waste that is not
separated at the source. This study believes the importance of promoting MSW separation at …

Whole‐process and multi‐stakeholder‐based solid waste management framework construction for industrial parks: Toward circular economy development

C Shu, Z Feng, C Liang, J Guo, F Xu… - Journal of Industrial …, 2024 - Wiley Online Library
The intensive generation of industrial solid waste (ISW) in industrial parks poses a severe
threat to the water and soil environment. To address the lack of system‐level guidance …

Municipal solid waste prediction using tree hierarchical deep convolutional neural network optimized with balancing composite motion optimization algorithm

TS Prakash, SP Patnayakuni… - Journal of Experimental & …, 2023 - Taylor & Francis
Efficacious forecasting of a solid waste supervision system depends on the prediction
accuracy of solid waste generation. Several existing methods on municipal solid waste …