AIMC Topic: Waste Management

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Evaluation of food waste treatment techniques using aczel alsina based MAGDM model in the q-rung orthopair fuzzy soft structure.

Scientific reports Jul 18, 2025
Food waste is a major obstacle in managing inequality, optimizing living conditions, and promoting prosperity, specifically among the world's most starving economies. Its influences stretch to preventing food supply; it alters financial maturation, c...
Waste Management Food Loss and Waste Fuzzy Logic Food Models, Theoretical
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Develop intelligent waste bin prototype based on fusion feature recognition of sounds and RGB images.

Waste management (New York, N.Y.) Jun 18, 2025
Sorting municipal solid waste (MSW) at the source is a critical first step toward achieving a circular economy. Previous research has primarily focused on vision-based intelligent algorithms for MSW classification using red-green-blue (RGB) images. S...
Waste Management Refuse Disposal Sound Solid Waste Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted
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Generation of ultrasonic and audible sound waves for the automatic classification of packaging waste in reverse vending machines.

Waste management (New York, N.Y.) Jun 8, 2025
Reverse vending machines (RVMs) are essential for promoting waste sorting at the source by offering incentives for recycling. However, current RVMs, which primarily rely on expensive sensors such as barcode scanners and computer vision systems, face ...
Product Packaging Recycling Waste Management Sound Ultrasonic Waves Machine Learning Acoustics
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Modeling approaches for data-driven model predictive control of acid gases in waste-to-energy plants.

Waste management (New York, N.Y.) Jun 4, 2025
The economic and environmental sustainability of waste-to-energy (WtE) plants can be improved through advanced control techniques such as model predictive control (MPC), which enables stricter regulation by incorporating constraints, handling multipl...
Waste Management Gases Refuse Disposal Hydrochloric Acid Models, Theoretical
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Towards sustainable solutions: Effective waste classification framework via enhanced deep convolutional neural networks.

PloS one Jun 4, 2025
As industrialization and the development of smart cities progress, effective waste collection, classification, and management have become increasingly vital. Recycling processes depend on accurately identifying and restoring waste materials to their ...
Waste Management Convolutional Neural Networks Recycling Neural Networks, Computer Deep Learning
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Artificial Intelligent and Internet of Things framework for sustainable hazardous waste management in hospitals.

Waste management (New York, N.Y.) Apr 30, 2025
Healthcare activities in hospitals generate numerous types of post-use waste materials that can be classified as hazardous. This study proposes an Artificial Intelligence (AI) and Internet of Things (IoT) integrated framework for secure and efficient...
Neural Networks, Computer Internet of Things Waste Management Hazardous Waste Fuzzy Logic Medical Waste Disposal Artificial Intelligence Hospitals
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Zero-shot and few-shot multimodal plastic waste classification with vision-language models.

Waste management (New York, N.Y.) Apr 23, 2025
The construction sector is a large consumer of plastic, generating substantial volumes of plastic waste. Effective recycling of this waste requires accurate classification, as different plastic materials undergo distinct recycling processes to retain...
Plastics Recycling Waste Management Construction Materials
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A sustainable industrial waste control with AI for predicting CO2 for climate change monitoring.

Journal of environmental management Apr 23, 2025
As the challenge of climate change continues to grow, we need creative solutions to predict better and track industrial waste carbon emissions, focusing on sustainable waste management practices. The present study proposes a state-of-the-art Metavers...
Climate Change Industrial Waste Waste Management Environmental Monitoring Carbon Dioxide Neural Networks, Computer Artificial Intelligence
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Predicting and investigating water quality index by robust machine learning methods.

Journal of environmental management Apr 3, 2025
This study addresses the critical challenges of waste management and water quality in urban environments, where accelerated urbanization has exacerbated environmental degradation and public health risks. Employing advanced machine learning algorithms...
Support Vector Machine Decision Trees Algorithms Environmental Monitoring Water Quality Waste Management Machine Learning
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Smart waste management and air pollution forecasting: Harnessing Internet of things and fully Elman neural network.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Mar 20, 2025
As the Internet of things (IoT) continues to transform modern technologies, innovative applications in waste management and air pollution monitoring are becoming critical for sustainable development. In this manuscript, a novel smart waste management...
Environmental Monitoring Air Pollutants Neural Networks, Computer Forecasting Waste Management Carbon Monoxide Air Pollution Internet of Things
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