Applied Computing and Informatics: Volume 20 Issue 1/2 , Open Access

Swarm intelligence versus direct cover algorithms in synthesis of Multi-Valued Logic functions

Mostafa Abd-El-Barr, Kalim Qureshi, Bambang Sarif

Ant Colony Optimization and Particle Swarm Optimization represent two widely used Swarm Intelligence (SI) optimization techniques. Information processing using Multiple-Valued…

Assessing university students' perception of academic quality using machine learning

Alberto Guillén Perales, Francisco Liébana-Cabanillas, Juan Sánchez-Fernández, Luis Javier Herrera

The aim of this research is to assess the influence of the underlying service quality variable, usually related to university students' perception of the educational experience…

A lifelong spam emails classification model

Rami Mustafa A. Mohammad

Spam emails classification using data mining and machine learning approaches has enticed the researchers' attention duo to its obvious positive impact in protecting internet…

Feature selection based on weighted conditional mutual information

Hongfang Zhou, Xiqian Wang, Yao Zhang

Feature selection is an essential step in data mining. The core of it is to analyze and quantize the relevancy and redundancy between the features and the classes. In CFR feature…

Autonomous recommender system architecture for virtual learning environments

Julián Monsalve-Pulido, Jose Aguilar, Edwin Montoya, Camilo Salazar

This article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently…

Inpainting forgery detection using hybrid generative/discriminative approach based on bounded generalized Gaussian mixture model

Abdullah Alharbi, Wajdi Alhakami, Sami Bourouis, Fatma Najar, Nizar Bouguila

We propose in this paper a novel reliable detection method to recognize forged inpainting images. Detecting potential forgeries and authenticating the content of digital images is…

Frei-Chen bases based lossy digital image compression technique

Mahmood Al-khassaweneh, Omar AlShorman

In the big data era, image compression is of significant importance in today’s world. Importantly, compression of large sized images is required for everyday tasks; including…

Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges

Ado Adamou Abba Ari, Olga Kengni Ngangmo, Chafiq Titouna, Ousmane Thiare, Kolyang, Alidou Mohamadou, Abdelhak Mourad Gueroui

The Cloud of Things (IoT) that refers to the integration of the Cloud Computing (CC) and the Internet of Things (IoT), has dramatically changed the way treatments are done in the…

Aspect-based sentiment analysis using smart government review data

Omar Alqaryouti, Nur Siyam, Azza Abdel Monem, Khaled Shaalan

Digital resources such as smart applications reviews and online feedback information are important sources to seek customers’ feedback and input. This paper aims to help…

Predictive modeling of turning operations under different cooling/lubricating conditions for sustainable manufacturing with machine learning techniques

Djordje Cica, Branislav Sredanovic, Sasa Tesic, Davorin Kramar

Sustainable manufacturing is one of the most important and most challenging issues in present industrial scenario. With the intention of diminish negative effects associated with…

Revised approach for the prediction of functional size of mobile application

Ziema Mushtaq, Abdul Wahid

Mobile applications affect our everyday activities and have become more and more information centric. Effort estimation for mobile application is an essential factor to consider…