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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 1 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
IJSEKE
1998
141views more  IJSEKE 1998»
15 years 1 months ago
REINAS: A Real-Time System for Managing Environmental Data
Managing scientific data is a challenging task, and many of the problems it presents have yet to be adequately solved. The Real-time Environmental Information Network and Analysi...
Eric C. Rosen, Theodore R. Haining, Darrell D. E. ...
141
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MOBIHOC
2010
ACM
14 years 11 months ago
The intrusion detection in mobile sensor network
Intrusion detection is an important problem in sensor networks. Prior works in static sensor environments show that constructing sensor barriers with random sensor deployment can ...
Gabriel Yik Keung, Bo Li, Qian Zhang
139
Voted
ISF
2008
114views more  ISF 2008»
15 years 1 months ago
An OVAL-based active vulnerability assessment system for enterprise computer networks
Abstract Many security problems are caused by vulnerabilities hidden in enterprise computer networks. It is very important for system administrators to have knowledge about the sec...
Xiuzhen Chen, Qinghua Zheng, Xiaohong Guan
142
Voted
COMCOM
2006
194views more  COMCOM 2006»
15 years 1 months ago
INSENS: Intrusion-tolerant routing for wireless sensor networks
This paper describes an INtrusion-tolerant routing protocol for wireless SEnsor NetworkS (INSENS). INSENS securely and efficiently constructs tree-structured routing for wireless ...
Jing Deng, Richard Han, Shivakant Mishra