Selection of text feature item is a basic and important matter for text mining and information
retrieval. Traditional methods of feature extraction require handcrafted features. To hand …

The term data quality refers to measuring the fitness of data regarding the intended usage.
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …

In this paper, a method has been proposed for enhancement of underwater images
commonly suffering from low contrast and degraded shading quality. The entirety of the …

We propose a nearby traffic flow modelling solution based on built-in Cyber-Physical System
(CPS) sensors of autonomous vehicles. Our goal is to enhance the offline route planning …

Hypervisor-based virtualization technology has been successfully used to deploy high-
performance and scalable infrastructure for Hadoop, and now Spark applications. Container …

This paper addresses the parallel flowshop scheduling problem with stochastic processing
times, where a product composed of several components has to be finished at a particular …

Eye state recognition is widely used in many fields, such as driver drowsiness recognition,
facial expression classification, and human–computer interface technology. This study …

In the year of 2017, the capital expenditure of Flash-based Solid State Drivers (SSDs) keeps
declining and the storage capacity of SSDs keeps increasing. As a result, the “selling point” …

In recent years, various chaotic systems have been introduced in literature to be used in
different branches of science. In the field of secure chaotic communication, more complex …

Community detection is one of the most well-known and emerging research topics in the
area of social network analysis. There are a wide variety of approaches to find communities …