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» Utilizing Neural Networks For Effective Intrusion Detection
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SPRINGSIM
2007
13 years 7 months ago
Modeling and analysis of worm defense using stochastic activity networks
— Stochastic activity networks (SANs) are a widely used formalism for describing complex systems that have random behavior. Sophisticated software tools exist for the modeling an...
David M. Nicol, Steve Hanna, Frank Stratton, Willi...
ROBOCUP
2001
Springer
138views Robotics» more  ROBOCUP 2001»
13 years 10 months ago
Interpretation of Spatio-temporal Relations in Real-Time and Dynamic Environments
With the more sophisticated abilities of teams within the simulation league high level online functions become more and more attractive. Last year we proposed an approach to recogn...
Andrea Miene, Ubbo Visser

Publication
237views
12 years 8 months ago
Estimation of behavioral user state based on eye gaze and head pose—application in an e-learning environment
Most e-learning environments which utilize user feedback or profiles, collect such information based on questionnaires, resulting very often in incomplete answers, and sometimes de...
Stylianos Asteriadis, Paraskevi Tzouveli, Kostas K...
BMCBI
2006
86views more  BMCBI 2006»
13 years 6 months ago
Identification of QTLs controlling gene expression networks defined a priori
Background: Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of inv...
Daniel J. Kliebenstein, Marilyn A. L. West, Hans v...
MOBISYS
2009
ACM
14 years 6 months ago
Leakage-aware energy synchronization for wireless sensor networks
To ensure sustainable operations of wireless sensor systems, environmental energy harvesting has been regarded as the right solution for long-term applications. In energy-dynamic ...
Ting Zhu, Ziguo Zhong, Yu Gu, Tian He, Zhi-Li Zhan...