Abstract. In neural networks, network faults can be exhibited in different forms, such as node fault and weight fault. One kind of weight faults is due to the hardware or software ...
We present three resistive bridging fault models valid for different CMOS technologies. The models are partitioned into a general framework (which is shared by all three models) a...
This paper studies some manufacturing test data collected for an experimental digital IC. Test results for a large variety of single-stuck fault based test sets are shown and comp...
The Solaris 10 Operating System includes a number of new features for predictive self-healing. One such feature is the ability of the Fault Management software to diagnose memory ...
Dong Tang, Peter Carruthers, Zuheir Totari, Michae...
Fault prediction models still seem to be more popular in academia than in industry. In industry expert estimations of fault proneness are the most popular methods of deciding wher...