This paper presents a quantum-based algorithm for evolving artificial neural networks
(ANNs). The aim is to design an ANN with few connections and high classification …

This article presents a high‐precision modeling method to build a small signal model of
GaAs pseudomorphic high electron mobility transistor (pHEMT) by using a radial basis …

In distributed storage systems, file access efficiency has an important impact on the real-time
nature of information forensics. As a popular approach to improve file accessing efficiency …

In this paper, we investigate 'optimistic'online caching policies, distinguished by their use of
future request predictions derived, for example, from machine learning models. Traditional …

The present invention is notably directed to a computer-implemented method of accessing
data by an application. The method comprises detecting an application that is accessing an …

Currently, most of the Flash-based storage systems reduce the performance gap between
the main memory and storage by data prefetching. However, conventional prefetching …

Distributed cache systems are utilized to enhance I/O performance between computing
applications and storage systems. However, the traditional file access predictors employed …

Cache prefetching technology has become the mainstream data access optimization
strategy in the Industrial Intelligent Systems (IIS) and the data centers. However, the rapidly …

The storage management system dCache acts as a disk cache for high-energy physics
(HEP) data from the US ATLAS community. Since its disk capacity is considerably smaller …

Building accurate classifiers for predicting group membership is made difficult when data is
skewed or imbalanced which is typical of real world data sets. The classifier has the …