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Cellulose is the most abundant biomass material in nature. Extracted from natural fibers, its hierarchical and multi-level organization allows different kinds of nanoscaled cellulosic fillers—called cellulose nanocrystals or microfibrillated cellulose (MFC)—to be obtained. Recently, such cellulose nanoparticles have been the focus of an exponentially(More)
This work presents an Internet traffic classification methodology based on statistical discriminators and cluster analysis. An accuracy identification of Internet applications is an important research area, because it is directly related to solve many network problems such as: quality of service (QoS), traffic control, security, network management and(More)
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