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» Detecting Fault Modules Using Bioinformatics Techniques
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ICANN
2009
Springer
14 years 9 days ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
VLSID
2004
IEEE
139views VLSI» more  VLSID 2004»
14 years 8 months ago
Open Defects Detection within 6T SRAM Cells using a No Write Recovery Test Mode
The detection of all open defects within 6T SRAM cells is always a challenge due to the significant test time requirements. This paper proposes a new design-for-test (DFT) techniq...
André Ivanov, Baosheng Wang, Josh Yang
SIGSOFT
1998
ACM
14 years 20 days ago
Further Empirical Studies of Test Effectiveness
This paper reports on an empirical evaluation of the fault-detecting ability of two white-box software testing techniques: decision coverage (branch testing) and the all-uses data...
Phyllis G. Frankl, Oleg Iakounenko
AUSAI
2005
Springer
14 years 2 months ago
Automated Scene Understanding for Airport Aprons
Abstract. This paper presents a complete visual surveillance system for automatic scene interpretation of airport aprons. The system comprises two main modules — Scene Tracking a...
James M. Ferryman, Mark Borg, David Thirde, Floren...
ITC
2003
IEEE
119views Hardware» more  ITC 2003»
14 years 1 months ago
Fault Localization using Time Resolved Photon Emission and STIL Waveforms
Faster defect localization is achieved by combining IC simulations and internal measurements. Time resolved photon emission records photons emitted during commutations (current) r...
Romain Desplats, Felix Beaudoin, Philippe Perdu, N...