نتایج جستجو برای: waste classification
تعداد نتایج: 572526 فیلتر نتایج به سال:
The application of Waste-to-Energy treatment in Municipal Solid Waste faces strong protest by local communities, especially in cities with high population densities. This study introduces insight into the public awareness, acceptance and risk perception toward Waste-to-Energy through a structured questionnaire survey around a Waste-to-Energy facility in Shanghai, China. The Dichotomous-Choice c...
This paper discusses the issue of medical waste, which is highly significant from the perspective of environmental protection. It describes the waste classification criteria, the methods of its collection, and neutralization. They are based on the legislation, including above all the Waste Act of 27 April 2001. The priority goal of the Act is to ensure that human health and life are protected. ...
This paper, according to the characteristics of the medical waste incineration technologies and processes and on the basis of systematically analyzing the pollutants generation nodes and release characteristics during the incineration disposal of medical waste, discusses key problems and contents to be highlighted concerning the operation management of medical waste incineration facilities from...
modeling and prediction of bread waste using time series models and artificial neural networks (ann)
this paper presents the application of multivariate time series model (ardl) to investigate factors affecting bread waste and to explore the relationships among shortrun, longrun and error correction coefficient and the independent variables over the period 1978-2006. results reveal that gross national product and urbanization have positive effects on bread waste in the long term, while the bre...
The use of machine learning for the image classification process is growing all time. Many methods can be used to classify an with good accuracy. Convolutional Neural Network (CNN) and Support Vector Machine (SVM) are popular this case. two approaches have differences in data training achieve objectives. Although there some between these approaches, advantages both them. This research explores ...
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