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» Load estimation and control using learned dynamics models
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NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
RTSS
1999
IEEE
14 years 2 days ago
Design and Evaluation of a Feedback Control EDF Scheduling Algorithm
Despite the significant body of results in real-time scheduling, many real world problems are not easily supported. While algorithms such as Earliest Deadline First, Rate Monotoni...
Chenyang Lu, John A. Stankovic, Gang Tao, Sang Hyu...
BMCBI
2010
160views more  BMCBI 2010»
13 years 8 months ago
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
Junbai Wang, Tianhai Tian
DATE
2010
IEEE
157views Hardware» more  DATE 2010»
14 years 27 days ago
RMOT: Recursion in model order for task execution time estimation in a software pipeline
Abstract—This paper addresses the problem of execution time estimation for tasks in a software pipeline independent of the application structure or the underlying architecture. A...
Nabeel Iqbal, M. A. Siddique, Jörg Henkel
CAIP
2007
Springer
152views Image Analysis» more  CAIP 2007»
14 years 2 months ago
Adaptable Model-Based Tracking Using Analysis-by-Synthesis Techniques
Abstract. In this paper we present a novel analysis-by-synthesis approach for real-time camera tracking in industrial scenarios. The camera pose estimation is based on the tracking...
Harald Wuest, Folker Wientapper, Didier Stricker