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» On Computing Functions with Uncertainty
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ICAS
2006
IEEE
145views Robotics» more  ICAS 2006»
16 years 1 months ago
A Model-Driven Development Framework for Non-Functional Aspects in Service Oriented Grids
Service-oriented grids are grid computing systems built with the notion of service-oriented architecture (SOA). Using two maract concepts, services and connections between service...
Hiroshi Wada, Junichi Suzuki, Katsuya Oba
CIBCB
2005
IEEE
16 years 1 months ago
Identification of Functional RNA Genes Using Evolved Neural Networks
Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some cla...
Mars Cheung, Gary B. Fogel
210
Voted
ICITA
2005
IEEE
16 years 1 months ago
QoS Functions and Theorems for Moving Wireless Networks
Optimum theorems for combining QoS metrics to reduce computation time in nodes (routers) is proposed based on fundamental theorems on QoS metrics. The proposed theorems unify sele...
Johnson I. Agbinya
214
Voted
ISORC
2005
IEEE
16 years 1 months ago
On Recent Advances in Time/Utility Function Real-Time Scheduling and Resource Management
We argue that the key underpinning of the current state-of-the real-time practice — the priority artifact — and that of the current state-of-the real-time art — deadline-bas...
Binoy Ravindran, E. Douglas Jensen, Peng Li
225
Voted
ISNN
2005
Springer
16 years 1 months ago
FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer
In this paper we propose a radial basis function (RBF) neural network for nonlinear time-invariant channel equalizer. The RBF network model has a three-layer structure which is com...
Poyueh Chen, Hungming Tsai, ChengJian Lin, ChiYung...