Results 211 to 220 of about 67,591 (259)

Classification of Hazardous Wastes

Journal of the Environmental Engineering Division, 1980
The multivariate statistical techniques of linear discriminant analysis and cluster analysis were applied to the classification of hazardous wastes. Linear discriminate analysis was used to classify a sample of waste streams from the metal smelting and refining industries, with a resultant classification accuracy of 83%.
Albert J. Klee, Michael U. Flanders
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Classification of Waste in Hospitals

2008
Hospitals have to focus their efforts on identifying and eliminating waste of all forms if they are to succeed in today’s competitive landscape. A recent study by the Murphy Leadership Institute (Murphy, 2003) concluded that wasteful work consumes more than 35% of hospital employees’ time.
Victoria Hanna, Kannan Sethuraman
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Classification and disposal of waste

Dental Nursing, 2008
Dental surgeries do not generate substantial amounts of waste but need to ensure that procedures within the workplace are the best possible to ensure safe transfer and collection. Kathy Porter explains.
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Automatic Image-Based Waste Classification

2019
The management of solid waste in large urban environments has become a complex problem due to increasing amount of waste generated every day by citizens and companies. Current Computer Vision and Deep Learning techniques can help in the automatic detection and classification of waste types for further recycling tasks.
Victoria Ruíz, Ángel Sánchez 0001, José Francisco Vélez, Bogdan Raducanu   +3 more
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Waste sources and classification

2007
Publisher Summary This chapter describes the various sources of radioactive wastes, their classification, and the way they are conditioned for disposal. It also examines issues that are of interest in a broader environmental context. Without a proper understanding of radioactive wastes—namely, their chemical, physical, and radiological properties—it ...
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PET Waste Classification Method and Plastic Waste DataBase - WaDaBa

2017
The main purpose of this work was creation of a plastic waste database of images of objects constituting the typical contents of municipal waste. This group of waste, by using methods of Computer Vision can be automatically selected on the sorting lines businesses for waste disposal.
Janusz Bobulski, Jacek Piatkowski
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Classification of Radioactive Wastes in Italy

American Industrial Hygiene Association Journal, 1994
The authors examine radioactive materials used in industrial equipment with reference to their half-lives and emission types. The possible causes and circumstances that transform radioactive materials into radioactive wastes are considered. The authors discuss classification, storage, and disposal of radioactive wastes and outline an Italian regulation
Laura Ancarani Rossiello, Lidia Failla
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Deep Learning for Waste Classification

International Journal of Science, Strategic Management and Technology
The solid waste generated has been increasing rapidly due to the growth in population and consumption. This is a major issue, particularly in cities. Waste segregation is currently mostly done by hand, which is time consuming and energy demanding, and can be inaccurate when various kinds of waste are mixed. This calls for more efficient techniques. The
Ankur Chaudhary, Anjali Kunjwal
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