We present applications of a recently developed automated nonlinear macromodelling approach to the important problem of macromodelling high-speed output buffers/drivers. Good nonl...
The interpretation of the EM tomography of microtubules is challenging due to the low SNR and low contrast of the volume data. Therefore, image enhancement is crucial for the subs...
Most well-performing load value predictors are hybrids that combine multiple predictors into one. Such hybrids are often large. To reduce their size and to improve their performan...
Instruction scratchpads have been previously suggested as a way to reduce the worst case execution time (WCET) of hard real-time programs without introducing the analysis issues p...
Threat modeling analyzes how an adversary might attack a system by supplying it with malicious data or interacting with it. The analysis uses a Data Flow Diagram (DFD) to describe...