We present an introspection/reflection framework for SystemC which extracts design-relevant structure information and transaction data under any LRM-2.1 compliant simulation kern...
We describe a communication-centric design methodology with SystemC that allows for efficient FPGA prototype generation of transaction level models (TLM). Using a framework compr...
With System on Chip low power constraints becoming increasingly important, emphasis is moving to architectural level, optimum memory organisation and system run time management. T...
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Segmentation of deep brain structures is a challenging task for MRI images due to blurry structure boundaries, small object size and irregular shapes. In this paper, we present a ...