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» Teaching data modeling: process and patterns
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JCIT
2010
156views more  JCIT 2010»
13 years 4 months ago
Intelligent Monitoring Approach for Pipeline Defect Detection from MFL Inspection
Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
Saeedreza Ehteram, Seyed Zeinolabedin Moussavi, Mo...
HUC
2011
Springer
12 years 9 months ago
Enabling large-scale human activity inference on smartphones using community similarity networks (csn)
Sensor-enabled smartphones are opening a new frontier in the development of mobile sensing applications. The recognition of human activities and context from sensor-data using cla...
Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanz...
EIT
2008
IEEE
14 years 4 months ago
Taming XML: Objects first, then markup
Abstract—Processing markup in object-oriented languages often requires the programmer to focus on the objects generating the markup rather than the more pertinent domain objects....
Matt Bone, Peter F. Nabicht, Konstantin Läufe...
ICCAD
1999
IEEE
148views Hardware» more  ICCAD 1999»
14 years 2 months ago
SAT based ATPG using fast justification and propagation in the implication graph
In this paper we present new methods for fast justification and propagation in the implication graph (IG) which is the core data structure of our SAT based implication engine. As ...
Paul Tafertshofer, Andreas Ganz
KDD
2005
ACM
140views Data Mining» more  KDD 2005»
14 years 10 months ago
Graphs over time: densification laws, shrinking diameters and possible explanations
How do real graphs evolve over time? What are "normal" growth patterns in social, technological, and information networks? Many studies have discovered patterns in stati...
Jure Leskovec, Jon M. Kleinberg, Christos Faloutso...