Results 11 to 20 of about 4,025,706 (340)
A Waste Classification Method Based on a Multilayer Hybrid Convolution Neural Network
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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A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification
In response to the growing waste problem caused by industrialization and modernization, the need for an automated waste sorting and recycling system for sustainable waste management has become ever more pressing.
Md. Mosarrof Hossen +9 more
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Deep Learning-Based Waste Classification with Transfer Learning Using EfficientNet-B0 Model
Recycling of waste is a significant challenge in modern waste management. Conventional techniques that use inductive and capacitive proximity sensors exhibit limitations in accuracy and flexibility for the detection of various types of waste.
Risfendra Risfendra +2 more
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A Hybrid Model for Dry Waste Classification using Transfer Learning and Dimensionality Reduction
The categorization of waste plays a crucial part in efficient waste management, facilitating the recognition and segregation of various waste types to ensure appropriate disposal, recycling, or repurposing.
Hadi Santoso +3 more
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Feasibility Evaluation of Chemical Waste Classification
Chemical waste classification is an important part for realizing effective decrement and reclamation, as one of the effective ways to improve the safety control of chemical waste.
Liyong Zhang +5 more
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Medicinal product and dietary supplement as waste - legal issues [PDF]
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
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
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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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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Classification of recyclable waste using deep learning architectures
Managing waste in big cities is a big problem. Wastes are dangerous in terms of causing environmental pollution and affecting human health. In particular, solid wastes such as glass and plastic do not dissolve in the soil for a long time and pollute the ...
Fatih Özyurt, Arzu Sevinç
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