Abstract-- This article describes the Candidate Design Environment we developed for efficient identification of promising drug candidates. Developing effective drugs from active mo...
M. Ihsan Ecemis, J. Wikel, C. Bingham, Eric Bonabe...
The aim of this paper is to show that machine learning techniques can be used to derive a classifying function for human brain signal data measured by magnetoencephalography (MEG)...
Automated detection of stable fracture points in a sequence of Computed Tomography (CT) images is found to be a challenging task. In this paper, an innovative scheme for automatic...
Ananda S. Chowdhury, Suchendra M. Bhandarkar, Gaur...
We describe the integration of smart digital objects with Hebbian learning to create a distributed, real-time, scalable approach to adapting to a community's preferences. We ...
Thomas Lutkenhouse, Michael L. Nelson, Johan Bolle...
Musicians and composers have been using brainwaves as generative sources in music for at least 40 years and the possibility of a brain-computer interface for direct communication ...