Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
During a program’s runtime, the stack and data segments of the main memory often contain much redundancy, which makes them good candidates for compression. Compression and decomp...
It is important for drowsiness detection systems to warn the driver before the critical stages of drowsiness arise and thus to provide sufficient intervention time for the driver...
Esra Vural, Marian Stewart Bartlett, Gwen Littlewo...
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
We present in this paper a supervised approach for automatic detection of micro-calcifications. The system is based on learning the different morphology of the micro-calcification...