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In this paper, a symbolic dynamical model of the average queue size of the random early detection (RED) algorithm is proposed. The conditions on both the system parameters and the...
Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Herber...
The distribution of illnesses reported by emergency departments from hospitals in a region under surveillance is particularly informative for the early detection of epidemics. The...
Early detection of bio-terrorist attacks is an important problem in public health surveillance. In this paper, we focus on the detection and characterization of outdoor aerosol rel...
Xiaohui Kong, Garrick L. Wallstrom, William R. Hog...
Abstract. Embedded assessment leverages the capabilities of pervasive computing to advance early detection of health conditions. In this approach, technologies embedded in the home...
Margaret E. Morris, Stephen S. Intille, Jennifer B...
SYN flooding attacks are a common type of Distributed Denial-of-Service (DDoS) attack. Early detection is desirable but traditional passive detection methods are inaccurate in th...
Bin Xiao, Wei Chen, Yanxiang He, Edwin Hsing-Mean ...
Glaucoma is a serious worldwide disease whose treatment can be improved by early detection. As part of a new clinical approach this paper introduces some preliminary studies in th...