Data-Driven Predictive Analysis and Sustainable Management of Concrete Waste in Pakistan

Y Chen, M Asim - Sustainability, 2024 - mdpi.com
waste generation in the context of the ever-rising construction industry of Pakistan. Actually,
the analysis … challenges associated with construction waste management. This section aims …

Forecasting plastic waste generation and interventions for environmental hazard mitigation

Y Van Fan, P Jiang, RR Tan, KB Aviso, F You… - Journal of hazardous …, 2022 - Elsevier
… Energy consumption could be an effective predictor for plastic waste generation (0.84) as
most manufacturing and production processes consume energy, and energy could be …

Waste generation predictions and on-site waste management: a Danish perspective

SM Lindhard, S Wyke, H Mahami, SS Vaezzadeh… - Sustainability, 2023 - mdpi.com
… the existing methods for waste generation prediction through a structured review of the
scientific literature, presented in Section 2. This is followed by a comparative analysis of two …

Development of a prediction model for demolition waste generation using a random forest algorithm based on small datasets

GW Cha, HJ Moon, YM Kim, WH Hong… - International Journal of …, 2020 - mdpi.com
… of C&D waste generated by multiplying the generationwaste generated was predicted
using a waste generation index, such as the waste generation rate obtained by statistical analysis

Handling missing data for construction waste management: machine learning based on aggregated waste generation behaviors

Z Yang, F Xue, W Lu - Resources, Conservation and Recycling, 2021 - Elsevier
waste generation behaviors as a case study. First, we define a set of 821 waste generation
behavioral features based on waste … Then, the most predictive ML method, trained via data of …

Describing health care waste generation rates using regression modeling and principal component analysis

M Minoglou, D Komilis - Waste management, 2018 - Elsevier
… This work examined the dependence of the health care waste generation rates (HCWGR)
from economic factors (gross domestic product per capita, health expenditure per capita), …

Forecasting domestic waste generation during successive COVID-19 lockdowns by Bidirectional LSTM super learner neural network

MS Jassim, G Coskuner, N Sultana… - Applied Soft Computing, 2023 - Elsevier
… Machine learning has great potential for predicting solid waste generation rates, but only a
few studies utilized deep learning approaches. The state-of-the-art Bidirectional Long Short-…

Forecasting of municipal solid waste generation using non-linear autoregressive (NAR) neural models

S Kumar, R Kumar - Waste Management, 2021 - Elsevier
… After getting closely related results during the testing phase, NAR model was used for
short-term MSW generation prediction for the year 2023. The performance of neural model (Model …

Construction and demolition waste generation prediction and spatiotemporal analysis: a case study in Sichuan, China

Q Hu, R Liu, P Su, J Huang, Y Peng - Environmental Science and …, 2023 - Springer
generation is closely correlated with past ones. This study proposes a time-… waste prediction
framework to predict C&D waste generation with less data volume by coupling generation

Forecasting municipal solid waste generation using artificial intelligence models—a case study in India

U Soni, A Roy, A Verma, V Jain - SN Applied Sciences, 2019 - Springer
waste generated, we need to plan in advance. A very essential pre-requirement for an efficient
solid waste management is an accurate prediction … series prediction of waste generation. …