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 …
Solid waste generation and disposal using machine learning approaches: a survey of solutions and challenges
We present a survey of machine learning works that attempt to organize the process flow of
waste management in smart cities. Unlike past reviews, we focused on the waste generation …
waste management in smart cities. Unlike past reviews, we focused on the waste generation …
Municipal solid waste classification and real-time detection using deep learning methods
N Li, Y Chen - Urban Climate, 2023 - Elsevier
Waste management has become a significant issue in most developing countries. Municipal
solid waste generation has been steadily increasing over the past decade. Recycling is …
solid waste generation has been steadily increasing over the past decade. Recycling is …
Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components
Solid Waste (SW) is one of the critical challenges of urban life. These SWs are considered
environmental pollutants that are a threat to ecology and human health. Predicting SW …
environmental pollutants that are a threat to ecology and human health. Predicting SW …
An ensemble learning based classification approach for the prediction of household solid waste generation
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 …
generation has become a fundamental task. Recent studies have started applying machine …
Flood hazard mapping in western Iran: assessment of deep learning vis-à-vis machine learning models
Abstract On March 25, 2019, widespread flood events occurred across Iran's provinces and
set a new record for socioeconomic losses and casualties. In hindsight, it opened an …
set a new record for socioeconomic losses and casualties. In hindsight, it opened an …
A systematic review of waste management solutions using machine learning, Internet of Things and blockchain technologies: state-of-art, methodologies, and …
Urbanization and rising populations are contributing significantly to the problem of garbage
generation in cities. For a quite long time, big cities all around the world have been …
generation in cities. For a quite long time, big cities all around the world have been …
Improving circularity in municipal solid waste management through machine learning in Latin America and the Caribbean
Abstract Machine Learning (ML) consists of a set of methods that allow a system to learn
data patterns and has applications in many stages of MSWM. Improvements in MSWM …
data patterns and has applications in many stages of MSWM. Improvements in MSWM …
Forecasting and the influence of socioeconomic factors on municipal solid waste generation: A literature review
BR Alzamora, RT de Vasconcelos Barros… - Environmental …, 2022 - Elsevier
Managing municipal solid waste is one of the most significant environmental challenges of
the 21st century. Municipalities have been facing difficulties in managing their solid waste …
the 21st century. Municipalities have been facing difficulties in managing their solid waste …
I nternet of things and machine learning‐based approaches in the urban solid waste management: Trends, challenges, and future directions
Solid waste management (SWM) is a crucial management entity in urban cities to handle the
waste from its generation to disposal to accomplish a clean environment. The waste …
waste from its generation to disposal to accomplish a clean environment. The waste …