Comparative study of predicting hospital solid waste generation using multiple linear regression and artificial intelligence

S Golbaz, R Nabizadeh, HS Sajadi - Journal of Environmental Health …, 2019 - Springer
Purpose A successful hospital solid waste (HSW) management needs an accurate
estimation of waste generation rates. The conventional regression methods upon increasing …

The use of artificial neural networks and multiple linear regression to predict rate of medical waste generation

S Jahandideh, S Jahandideh, EB Asadabadi… - Waste management, 2009 - Elsevier
Prediction of the amount of hospital waste production will be helpful in the storage,
transportation and disposal of hospital waste management. Based on this fact, two predictor …

Comparison of neural network and principal component-regression analysis to predict the solid waste generation in Tehran

R Noori, MA Abdoli, MJ Ghazizade… - Iranian Journal of Public …, 2009 - ijph.tums.ac.ir
Background: Municipal solid waste (MSW) is the natural result of human activities. MSW
generation modeling is of prime importance in designing and programming municipal solid …

Predicting the amount of medical waste using kernel-based SVM and deep learning methods for a private hospital in Turkey

FG Altin, İ Budak, F Özcan - Sustainable Chemistry and Pharmacy, 2023 - Elsevier
Successful medical waste management requires accurate forecasting of the amount of
waste generation. In the case of increasing the number of independent variables, traditional …

Implementation of a multi-variable regression analysis in the assessment of the generation rate and composition of hospital solid waste for the design of a sustainable …

IA Al-Khatib, I Abu Fkhidah, JI Khatib… - Waste Management …, 2016 - journals.sagepub.com
Forecasting of hospital solid waste generation is a critical challenge for future planning. The
composition and generation rate of hospital solid waste in hospital units was the field where …

Prediction of municipal solid waste generation for optimum planning and management with artificial neural network—case study: Faridabad City in Haryana State …

D Singh, A Satija - International Journal of System Assurance Engineering …, 2018 - Springer
Accurate prediction of municipal solid waste generation has an important role in future
planning and waste management system. The characteristics of the generated solid waste …

[PDF][PDF] Clinical waste management: A review on important factors in clinical waste generation rate

R Tabasi, G Marthandan - International Journal of Science and …, 2013 - Citeseer
As in many developing countries the generation of clinical waste has increased significantly
over the last few decades, management of this kind of waste continues to be a major …

[HTML][HTML] Predictive analysis of municipal solid waste generation using an optimized neural network model

N Elshaboury, E Mohammed Abdelkader, A Al-Sakkaf… - Processes, 2021 - mdpi.com
Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an …

Prediction of municipal solid waste generation by use of artificial neural network: A case study of Mashhad

GZM JALALI, RE NOURI - 2008 - sid.ir
Accurate prediction of municipal solid waste's quality and quantity is crucial for designing
and programming municipal solid waste management system. But predicting the amount of …

Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation

MS Jassim, G Coskuner… - Waste Management & …, 2022 - journals.sagepub.com
The evolution of machine learning (ML) algorithms provides researchers and engineers with
state-of-the-art tools to dynamically model complex relationships. The design and operation …