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ENGL
2006
99views more  ENGL 2006»
14 years 11 months ago
A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Si
In recent years Neural Networks have been widely used as pattern and statistical classifiers in bio medical engineering. Most research to date using hybrid systems (Fuzzy-Neuro) fo...
R. Sukanesh, R. Harikumar
ARESEC
2011
145views more  ARESEC 2011»
13 years 11 months ago
An Attribute Based Framework for Risk-Adaptive Access Control Models
—The concept of risk-based adaptive access control (RAdAC, pronounced Raid-ack) has been recently introduced in the literature. It seeks to automatically (or semi-automatically) ...
Savith Kandala, Ravi S. Sandhu, Venkata Bhamidipat...
ICSE
2004
IEEE-ACM
15 years 12 months ago
Managing Commitments and Risks: Challenges in Distributed Agile Development
Software development is always a challenging undertaking and it requires high commitments from individuals who participate in it. Software development often involves new technolog...
Jan Rydén, Jyrki Kontio, Magnus Höglun...
SP
2002
IEEE
110views Security Privacy» more  SP 2002»
14 years 11 months ago
Optical Time-Domain Eavesdropping Risks of CRT Displays
A new eavesdropping technique can be used to read cathode-ray tube (CRT) displays at a distance. The intensity of the light emitted by a raster-scan screen as a function of time c...
Markus G. Kuhn
HPDC
2007
IEEE
15 years 6 months ago
A statistical approach to risk mitigation in computational markets
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
Thomas Sandholm, Kevin Lai