With the advent of carbon nanotube technology, evaluating circuit and system performance using these devices is becoming extremely important. In this paper, we propose a quasi-ana...
Bipul C. Paul, Shinobu Fujita, Masaki Okajima, Tho...
We propose regression modeling as an efficient approach for accurately predicting performance and power for various applications executing on any microprocessor configuration in a...
Background: Automatic quantification of neuronal morphology from images of fluorescence microscopy plays an increasingly important role in high-content screenings. However, there ...
Automatic classification of an image as a photograph of a real-scene or as a painting is potentially useful for image retrieval and website filtering applications. The main contri...