Estimation of the orientation of a textured planar surface is one of the basic tasks in the area of "shape from texture".
In addition, a sample scenario for computational tasks in the area of telecommunication network design and management will be described, together with a performance evaluation of the platform.
As a result, analyzing and managing sentiment for text has become meaningful and challenging tasks in the area of affective computing, especially in microblog, which is one typical product of wireless.
Since the recent appearance of search based software engineering, multiple tasks in the area of software engineering have been formulated as complex search and optimisation problems, where evolutionary computation has found a new area of application.
We identify two tasks in the area of AFP: prediction of annotations for proteins without previous annotations (denoted 'novel proteins' or NP) and prediction of novel annotations for proteins that already have some annotations associated with them (denoted 'novel annotations' or NA).
Diagnosis of rotor failures has long been an important but complicated task in the area of motor faults detection.
Given a problem described as a set of rules or constraints, finding solutions that satisfy these constraints is a central task in the area of artificial intelligence.
Due to averaging, random forests are tolerant to overlearning, a typical phenomenon in high-dimensional settings with small sample size, and have thus gained popularity in classification and regression tasks especially in the area of bioinformatics.
This research is part of the National Risk Assessment Partnership, a U.S. Department of Energy (DOE) project tasked with conducting risk and uncertainty analysis in the areas of reservoir performance, natural leakage pathways, wellbore integrity, groundwater protection, monitoring, and systems level modeling.
This research is part of the National Risk Assessment Partnership (NRAP), a DOE project tasked with conducting risk and uncertainty analysis in the areas of reservoir performance, natural leakage pathways, wellbore integrity, groundwater protection, monitoring, and systems level modeling.
