Recent advances in applications of artificial intelligence in solid waste management: A review
Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …
environmental impacts. However, the current solid waste management practices encounter …
A review on integrated approaches for municipal solid waste for environmental and economical relevance: Monitoring tools, technologies, and strategic innovations
N Kundariya, SS Mohanty, S Varjani, HH Ngo… - Bioresource …, 2021 - Elsevier
Rapid population growth, combined with increased industrialization, has exacerbated the
issue of solid waste management. Poor management of municipal solid waste (MSW) not …
issue of solid waste management. Poor management of municipal solid waste (MSW) not …
A comparative study of black-box and white-box data-driven methods to predict landfill leachate permeability
Due to the dynamic and complexity of leachate percolation within municipal solid waste
(MSW), planning and operation of solid waste management systems are challenging for …
(MSW), planning and operation of solid waste management systems are challenging for …
A novel hybrid adaptive boosting approach for evaluating properties of sustainable materials: A case of concrete containing waste foundry sand
Ensemble learning (EL) has gained popularity in recent investigations because of its higher
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
prediction accuracy than conventional machine learning (ML) methods. Regressors and EL …
Predicting waste management system performance from city and country attributes
Supporting good waste management practices is crucial for the sustainable development of
cities. Transforming the practices of cities is a complex problem that requires understanding …
cities. Transforming the practices of cities is a complex problem that requires understanding …
Cleaner production auditing for plastic recycling industry in Pakistan: A baseline study
SI Hashmi, HTSA Hewage, C Visvanathan - Chemosphere, 2023 - Elsevier
Recycling plastics is a good alternative to manage the plastic waste generated in Pakistan.
Unfortunately, the country lacks efficient system to manage or recycle the plastic waste it …
Unfortunately, the country lacks efficient system to manage or recycle the plastic waste it …
Comparative analysis of soft computing techniques in predicting the compressive and tensile strength of seashell containing concrete
Despite the advantages of using seashells in concrete, predictive models have not yet been
proposed for this type of concrete. To fill this gap, the present study utilized three distinctive …
proposed for this type of concrete. To fill this gap, the present study utilized three distinctive …
Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms
This study aims to develop several novel machine learning (ML) evolutionary algorithms for
the prediction of small strain shear modulus (G max) of clean sands and sand-fines binary …
the prediction of small strain shear modulus (G max) of clean sands and sand-fines binary …
Development of machine learning multi-city model for municipal solid waste generation prediction
W Lu, W Huo, H Gulina, C Pan - Frontiers of Environmental Science & …, 2022 - Springer
Integrated management of municipal solid waste (MSW) is a major environmental challenge
encountered by many countries. To support waste treatment/management and national …
encountered by many countries. To support waste treatment/management and national …
A novel domain knowledge-informed machine learning approach for modeling solid waste management systems
Sustainability challenges, such as solid waste management, are usually scientifically
complex and data scarce, which makes them not amenable to science-based analytical …
complex and data scarce, which makes them not amenable to science-based analytical …