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» Using UML for Modeling Complex Real-Time Systems
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PADS
2005
ACM
16 years 8 days ago
Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...
ESANN
2006
15 years 8 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
TSP
2010
15 years 1 months ago
A multi-resolution hidden Markov model using class-specific features
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
Paul M. Baggenstoss
228
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SPLC
2007
15 years 7 months ago
Product Line Implementation using Aspect-Oriented and Model-Driven Software Development
Software product line engineering aims to reduce development time, effort, cost, and complexity by taking advantage of the commonality within a portfolio of similar products. The ...
Markus Völter, Iris Groher
PARLE
1994
15 years 10 months ago
Modelling Photochemical Pollution using Parallel and Distributed Computing Platforms
Scientists are increasingly turning to numerical simulation in order to investigate and model complex environmental systems. Numerical simulation has enormous advantages over labor...
David Abramson, M. Cope, R. McKenzie