Robust identification of polyethylene terephthalate (PET) plastics through Bayesian decision

Recycling is one of the most efficient methods for environmental friendly waste management. Among municipal wastes, plastics are the most common material that can be easily recycled and polyethylene terephthalate (PET) is one of its major types. PET material is used in consumer goods packaging such...

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Veröffentlicht in:	PloS one 2014-12, Vol.9 (12), p.e114518-e114518
Hauptverfasser:	Zulkifley, Mohd Asyraf, Mustafa, Mohd Marzuki, Hussain, Aini, Mustapha, Aouache, Ramli, Suzaimah
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Automation Bayes Theorem Bayesian analysis Boredom Chemical sensors Classification Computer and Information Sciences Computer science Consumer goods Containers Decision Making Decontamination Ecology and Environmental Sciences Engineering Engineering and Technology Environmental management Fatigue Food packaging Humans International conferences Landfill Likelihood ratio Methods Municipal wastes Neural networks Organic chemistry Packaging Performance measurement Plastic debris Plastics Plastics - analysis Plastics - chemistry Plastics industry Polyethylene Polyethylene terephthalate Polyethylene Terephthalates - analysis Polymers Probabilistic methods Purification Recyclable materials Recycled materials Recycling Reflection Sensors Signal processing Test procedures Vision Waste Management Workers
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