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...
The automated flaw detection in aluminium castings consists of two steps: a) identification of potential defects using image processing techniques, and b) classification of pote...
— Market and customer demands have continued to push the limits of CMOS performance. At-speed test has become a common method to ensure these high performance chips are being shi...
Jeremy Lee, Sumit Narayan, Mike Kapralos, Mohammad...
Various static analysis tools will analyze a software artifact in order to identify potential defects, such as misused APIs, race conditions and deadlocks, and security vulnerabil...
Recent results indicate that functional test pattern generation (TPG) techniques may provide better defect coverages than do traditional logic-level techniques. Functional TPG alg...