Most of these algorithms only require the protein primary sequence as the input, allowing their easy implementation for the large-scale analysis of protein sets [1], [21], [22], [23], [24], [25], [26], [27].
The primary contribution of this paper is an efficient feature extraction and matching implementation for large images in large-scale aerial photogrammetry experiments.
This paper presents a modular technique, amenable to parallel implementation, for the diagnosis of large-scale, distributed, asynchronous event-driven (namely, active) systems.
A novel implementation for the skeletal reduction of large detailed reaction mechanisms using the directed relation graph with error propagation and sensitivity analysis (DRGEPSA) is developed and presented with examples for three hydrocarbon components, n-heptane, iso-octane, and n-decane, relevant to surrogate fuel development.
The selection criteria for the CPs, more or less those for successful implementation, were responsible for the largest number of patient exclusions (n=150).
We evaluate linear support vector machines (SVM) as implemented in the LibSVM library, as well as LibLINEAR, a specialized implementation for processing large data sets, and naive Bayes classifiers.
MapReduce, which was first developed by Google, is a programming model and an associated implementation for processing large datasets [45].
It is important to highlight the need to properly address these issues, among other reasons, for its influence on public acceptance of this technology, a key element for the large scale implementation of the CCS.
But as we recently reported, not only are consumers largely unknowledgeable about the smart grid, but the infrastructure itself may not be ready for the large scale implementation of electric vehicles.
