Artificial intelligence for waste management in smart cities: a review

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

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What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050

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Waste Mismanagement in Developing Countries: A Review of Global Issues

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Evaluating scenarios toward zero plastic pollution

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Artificial Intelligence and the Public Sector—Applications and Challenges

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The Global Rise of Zero Liquid Discharge for Wastewater Management: Drivers, Technologies, and Future Directions

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Cost, environmental impact, and resilience of renewable energy under a changing climate: a review

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Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

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Microplastic sources, formation, toxicity and remediation: a review

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Circular economy strategies for combating climate change and other environmental issues

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Strategies to save energy in the context of the energy crisis: a review

Farghali, M. R. F., Osman, A. I., Mohamed, I. M. A., Chen, Z., Chen, L., Ihara, I., Yap, P., & Rooney, D. W. (2023) · Environmental Chemistry Letters · doi:10.1007/s10311-023-01591-5 · Cited by 733 · see citing works

A review on automated sorting of source-separated municipal solid waste for recycling

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Environmental pollution: causes, effects, and the remedies

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Sorption, transport and biodegradation – An insight into bioavailability of persistent organic pollutants in soil

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Artificial intelligence applications in solid waste management: A systematic research review

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Pyrolysis Study of Polypropylene and Polyethylene Into Premium Oil Products

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Barriers to smart waste management for a circular economy in China

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Qualitative data analysis: conceptual and practical considerations

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Applied Machine Learning for Prediction of CO 2 Adsorption on Biomass Waste-Derived Porous Carbons

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Green construction for low-carbon cities: a review

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Forecasting municipal solid waste generation using artificial intelligence modelling approaches

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Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review

Guo, H., Wu, S., Tian, Y., Zhang, J., & Liu, H. (2020) · Bioresource Technology · doi:10.1016/j.biortech.2020.124114 · Cited by 378 · see citing works

Intelligent Waste Classification System Using Deep Learning Convolutional Neural Network

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Adoption of artificial intelligence in smart cities: A comprehensive review

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Recycling of Organic Wastes in Agriculture: An Environmental Perspective

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The sustainability of artificial intelligence: an urbanistic viewpoint from the lens of smart and sustainable cities

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Recycling municipal, agricultural and industrial waste into energy, fertilizers, food and construction materials, and economic feasibility: a review

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Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures

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Deep Eutectic Solvents for Pretreatment, Extraction, and Catalysis of Biomass and Food Waste

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Machine learning methods for modelling the gasification and pyrolysis of biomass and waste

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Technologies and decision support systems to aid solid-waste management: a systematic review

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Assessing the impact of industrial waste on environment and mitigation strategies: A comprehensive review

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Slow pyrolysis as a platform for negative emissions technology: An integration of machine learning models, life cycle assessment, and economic analysis

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A roadmap for development of sustainable E-waste management system in India

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Artificial Intelligence in the Sorting of Municipal Waste as an Enabler of the Circular Economy

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Application of machine learning algorithms in municipal solid waste management: A mini review

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A strength prediction model using artificial intelligence for recycling waste tailings as cemented paste backfill

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Carbon emissions under different domestic waste treatment modes induced by garbage classification: Case study in pilot communities in Shanghai, China

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A Review on Prediction of Municipal Solid Waste Generation Models

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Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review

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Environmental Pollution from Illegal Waste Disposal and Health Effects: A Review on the “Triangle of Death”

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Gas turbine performance prediction via machine learning

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Integration of biogas systems into a carbon zero and hydrogen economy: a review

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Recyclable waste image recognition based on deep learning

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Waste image classification based on transfer learning and convolutional neural network

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Environmental planning based on reduce, reuse, recycle and recover using artificial intelligence

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Prediction of biochar yield from cattle manure pyrolysis via least squares support vector machine intelligent approach

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Backtracking search algorithm in CVRP models for efficient solid waste collection and route optimization

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Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening

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Big data analytics to identify illegal construction waste dumping: A Hong Kong study

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Estimation of the generation rate of different types of plastic wastes and possible revenue recovery from informal recycling

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Robotic Waste Sorting Technology: Toward a Vision-Based Categorization System for the Industrial Robotic Separation of Recyclable Waste

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Common Garbage Classification Using MobileNet

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Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling

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An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification

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Using machine learning and small area estimation to predict building-level municipal solid waste generation in cities

Kontokosta, C. E., Hong, B., Johnson, N. E., & Starobin, D. (2018) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2018.03.004 · Cited by 159 · see citing works

Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables

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Deep Learning for Plastic Waste Classification System

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Environmental impacts of waste management and valorisation pathways for surplus bread in Sweden

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Academic Policy Regarding Sustainability and Artificial Intelligence (AI)

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Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches

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Vision-based robotic system for on-site construction and demolition waste sorting and recycling

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Implications of COVID-19 on global environmental pollution and carbon emissions with strategies for sustainability in the COVID-19 era

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Robot for automatic waste sorting on construction sites

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Patterns of waste generation: A gradient boosting model for short-term waste prediction in New York City

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Machine learning approach for a circular economy with waste recycling in smart cities

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Applying machine learning approach in recycling

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Developing an applied algorithm for multi-trip vehicle routing problem with time windows in urban waste collection: A case study

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Artificial intelligence-based microfluidic platforms for the sensitive detection of environmental pollutants: Recent advances and prospects

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Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models

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

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Prognostication of energy use and environmental impacts for recycle system of municipal solid waste management

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Artificial Intelligence in the Urban Environment: Smart Cities as Models for Developing Innovation and Sustainability

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Landfill area estimation based on solid waste collection prediction using ANN model and final waste disposal options

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A review on modern and smart technologies for efficient waste disposal and management

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Efficient Recognition and Automatic Sorting Technology of Waste Textiles Based on Online Near infrared Spectroscopy and Convolutional Neural Network

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Design a smart waste bin for smart waste management

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A Waste Classification Method Based on a Multilayer Hybrid Convolution Neural Network

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Artificial neural network model to predict behavior of biogas production curve from mixed lignocellulosic co-substrates

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Recent advances in applications of artificial intelligence in solid waste management: A review

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

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Deep learning networks for real-time regional domestic waste detection

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Application of artificial intelligence to enhance collection of E-waste: A potential solution for household WEEE collection and segregation in India

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Sustainability Indicators Concerning Waste Management for Implementation of the Circular Economy Model on the University of Lome (Togo) Campus

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Combining an artificial intelligence algorithm and a novel vehicle for sustainable e-waste collection

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Internet of things-based urban waste management system for smart cities using a Cuckoo Search Algorithm

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Artificial intelligence for planning of energy and waste management

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Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill

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Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes

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Alleviating corporate environmental pollution threats toward public health and safety: The role of smart city and artificial intelligence

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Deep Learning and Remote Sensing: Detection of Dumping Waste Using UAV

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Deep Convolutional Neural Networks Object Detector for Real-Time Waste Identification

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Artificial intelligence and machine learning approaches in composting process: A review

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Applied machine learning for prediction of waste plastic pyrolysis towards valuable fuel and chemicals production

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Dumping, waste management and ecological security: Evidence from England

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Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets

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Applications of computational chemistry, artificial intelligence, and machine learning in aquatic chemistry research

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Computer Vision Based Two-stage Waste Recognition-Retrieval Algorithm for Waste Classification

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Comprehensive Interrogation on Acetylcholinesterase Inhibition by Ionic Liquids Using Machine Learning and Molecular Modeling

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IOT Based Smart Garbage Monitoring System Using ZigBee

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The Design and Implementation of Smart Trash Bin

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Artificial Intelligence-Based Robotic Technique for Reusable Waste Materials

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Garbage Collection and Sorting with a Mobile Manipulator using Deep Learning and Whole-Body Control

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