Showing papers in "Applied Computing and Informatics in 2016"

TL;DR: The results indicate that TAM3 holds well in the Arabian culture and also outline valuable outcomes such as: managerial interventions and controls for better organizational e-learning management that can lead to greater acceptance and effective utilization.

TL;DR: The result shows that the K-Nearest Neighbor classifier is transparent, consistent, straightforward, simple to understand, high tendency to possess desirable qualities and easy to implement than most other machine learning techniques specifically when there is little or no prior knowledge about data distribution.

TL;DR: A supervised machine learning approach is presented that classifies seizure and non-seizure records using an open dataset containing 342 records and posits a new method for generalising seizure detection across different subjects without prior knowledge about the focal point of seizures.

TL;DR: An extensive experimental comparison of the proposed method and other methods using four different classifiers and 22 different medical data sets confirm that the proposed MFFS strategy yields promising results on feature selection and classification accuracy for medical data mining field of research.

TL;DR: The present paper presents one of the efficient approaches toward multilingual text detection for video indexing by applying single level 2D wavelet decomposition with Gabor Filter and a concept of linked list approach to build a true textline sequence of connected components.

TL;DR: The proposed ensemble is built combining widely used person re-identification systems using different color spaces and some variants of state-of-the-art approaches that are proposed in this paper, and experimental results show that the proposed system offers significant improvements over baseline approaches.

TL;DR: This paper uses the first transaction including an item as the start point for the item lifespan definition and organizes time into granules and considers temporal data mining for different levels of granules.

TL;DR: A battery of seven computerized tests, encompassing classical and innovative solutions inspired by the literature in the field, for the integrated measurement of the attention factors of aviation pilots are presented.

TL;DR: A statistical analysis of repeat effects in arrest data for Chicago during the years 2003–2012 finds repeat effects that diminish as a function of geodesic distance and time interval, and estimates typical time scales for repeat crimes in Chicago.

TL;DR: The basic directions of state policy in the use and implementation of cloud computing are described and some specific measures to ensure the protection of personal data using the standards of the EU and Russia are defined.

TL;DR: The proposed Enhanced Region Growing Algorithm (ERGA) is proposed for blood vessel segmentation and improved segmented images with reduction of noise as compared to tradition RGA.

TL;DR: Some new concepts of rough membership relations and functions in the generalized covering approximation space in terms of concepts in topology are introduced and several types of fuzzy sets are constructed.