AIMC Topic: Waste Management

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Pioneering approaches to plastic biodegradation and upcycling for sustainability.

Environmental monitoring and assessment
Plastic pollution has become one of the most significant threats to the environment and human health of the twenty-first century, with more than 300 million tons of waste generated annually, and conventional disposal methods are inadequate. To addres...

Artificial intelligence in solid waste management in India: current status and future prospects.

Environmental monitoring and assessment
The fast-paced economic development in India has resulted in higher energy use and the generation of solid wastes, posing immense environmental and health problems. With a view to solving these, this review investigates the incorporation of artificia...

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

Scientific reports
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...

Develop intelligent waste bin prototype based on fusion feature recognition of sounds and RGB images.

Waste management (New York, N.Y.)
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...

Generation of ultrasonic and audible sound waves for the automatic classification of packaging waste in reverse vending machines.

Waste management (New York, N.Y.)
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 ...

Modeling approaches for data-driven model predictive control of acid gases in waste-to-energy plants.

Waste management (New York, N.Y.)
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...

Towards sustainable solutions: Effective waste classification framework via enhanced deep convolutional neural networks.

PloS one
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 ...

Artificial Intelligent and Internet of Things framework for sustainable hazardous waste management in hospitals.

Waste management (New York, N.Y.)
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...

Zero-shot and few-shot multimodal plastic waste classification with vision-language models.

Waste management (New York, N.Y.)
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...

A sustainable industrial waste control with AI for predicting CO2 for climate change monitoring.

Journal of environmental management
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...