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IPSN
2004
Springer
15 years 11 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
KDD
2004
ACM
161views Data Mining» more  KDD 2004»
15 years 11 months ago
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study
World steel trade becomes more competitive every day and new high international quality standards and productivity levels can only be achieved by applying the latest computational...
Nicolás de Abajo, Alberto B. Diez, Vanesa L...
ICRA
2003
IEEE
110views Robotics» more  ICRA 2003»
15 years 11 months ago
Modelling of the human paralysed lower limb under FES
— The new generation of implanted neuroprostheses allows muscles to be controlled with fine accuracy, high selectivity and the repeatability of the muscle’s response can be ach...
David Guiraud, Philippe Poignet, Pierre-Brice Wieb...
ISIPTA
2003
IEEE
120views Mathematics» more  ISIPTA 2003»
15 years 11 months ago
Towards a Chaotic Probability Model for Frequentist Probability: The Univariate Case
We adopt the same mathematical model of a set M of probability measures as is central to the theory of coherent imprecise probability. However, we endow this model with an objecti...
Pablo Ignacio Fierens, Terrence L. Fine
ISSRE
2003
IEEE
15 years 11 months ago
Reducing wasted development time via continuous testing
Testing is often performed frequently during development to ensure software reliability by catching regression errors quickly. However, stopping frequently to test also wastes tim...
David Saff, Michael D. Ernst