A Systematic Review of AI-Based Techniques for Automated Waste Classification [PDF]
SensorsWaste classification is a critical step in waste management that is time-consuming and necessitates automation to replace traditional approaches. Recently, machine learning (ML) and deep learning (DL) have gained attention from researchers seeking to ...
Farnaz Fotovvatikhah +3 more
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Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron [PDF]
Sensors, 2021 Urbanization is a big concern for both developed and developing countries in recent years. People shift themselves and their families to urban areas for the sake of better education and a modern lifestyle.
Ali Usman Gondal +9 more
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Optimizing Backbone Networks Through Hybrid–Modal Fusion: A New Strategy for Waste Classification [PDF]
SensorsWith rapid urbanization, effective waste classification is a critical challenge. Traditional manual methods are time-consuming, labor-intensive, costly, and error-prone, resulting in reduced accuracy.
Houkui Zhou +9 more
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A Waste Classification Method Based on a Multilayer Hybrid Convolution Neural Network
Applied Sciences, 2021 With the rapid development of deep learning technology, a variety of network models for classification have been proposed, which is beneficial to the realization of intelligent waste classification.
Cuiping Shi +3 more
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Compact waste image classification with multi-student CNNs and edge-oriented model selection [PDF]
Frontiers in Artificial IntelligenceAutomatic waste classification is an important enabling technology for cleaner cities, source-level recycling, and low-cost smart-bin systems. Although modern convolutional neural networks achieve strong recognition performance, their deployment on ...
Mohamed Echchidmi, Anas Bouayad
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EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments [PDF]
Frontiers in Plant ScienceIn the current era of technological advancement, the increasing demand for automated environmental monitoring and smart recycling systems plays a crucial role in maintaining a healthy environment for both humans and nature.
Alok Kumar Shukla, Shubhra Dwivedi
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Medicinal product and dietary supplement as waste - legal issues [PDF]
Farmacja Polska, 2023 The issue of waste is a topic widely discussed at both European and national levels. The insufficient share of separately collected waste in the stream and the too large amount of waste sent to landfills, combined with the need for Poland to implement ...
Justyna Rogowska, Agnieszka Zimmermann
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A 5G-Enabled Smart Waste Management System for University Campus
Sensors, 2021 Future university campuses will be characterized by a series of novel services enabled by the vision of Internet of Things, such as smart parking and smart libraries.
Edoardo Longo +5 more
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Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine
Applied Sciences, 2021 A reverse vending machine motivates citizens to bring recyclable waste by rewarding them, which is a viable solution to increase the recycling rate. Reverse vending machines generally use near-infrared sensors, barcode sensors, or cameras to classify ...
Taeyoung Yoo, Seongjae Lee, Taehyoun Kim
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Mathematics, 2022 Due to dynamics caused by factors such as random collection and transportation requirements, vehicle failures, and traffic jams, it is difficult to implement regular waste collection and transportation schemes effectively.
Ming Wan +6 more
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