In current microprocessors and systems, an increasingly high silicon portion is derived through automatic synthesis, with designers working exclusively at the RT-level, and design...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...
Microfluidics-based biochips offer exciting possibilities for highthroughput sequencing, parallel immunoassays, blood chemistry for clinical diagnostics, DNA sequencing, and envir...
Background: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as...
Julie D. Thompson, Arnaud Muller, Andrew M. Waterh...