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IWSSD
1993
IEEE
13 years 9 months ago
Fine-Grain Process Modelling
In this paper, we propose the use of fine-grain process modelling as an aid to software development. We suggest the use of two levels of granularity, one at the level of the indiv...
Bashar Nuseibeh, Anthony Finkelstein, Jeff Kramer
PR
2008
97views more  PR 2008»
13 years 4 months ago
A vision-based method for weeds identification through the Bayesian decision theory
One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...
DATE
2008
IEEE
112views Hardware» more  DATE 2008»
13 years 11 months ago
An novel Methodology for Reducing SoC Test Data Volume on FPGA-based Testers
Low-Cost test methodologies for Systems-on-Chip are increasingly popular. They dictate which features have to be included on-chip and which test procedures have to be adopted in o...
Paolo Bernardi, Matteo Sonza Reorda
BMCBI
2010
160views more  BMCBI 2010»
13 years 4 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
BMCBI
2007
138views more  BMCBI 2007»
13 years 4 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...