Applied Computing and Informatics , Open Access

Publisher's note

It has come to the attention of the publisher that the article Zeroual, I. and Lakhouana, A. (2020), “MulTed: a multilingual aligned and tagged parallel corpus”, published in…

Publisher's note

It has come to the attention of the publisher that the article Mustafa, A. and Hatemi-J, A. (2020), “A VBA module simulation for finding optimal lag order in time series models…

Automatic measurement of cardiothoracic ratio in chest x-ray images with ProGAN-generated dataset

Worapan Kusakunniran, Pairash Saiviroonporn, Thanongchai Siriapisith, Trongtum Tongdee, Amphai Uraiverotchanakorn, Suphawan Leesakul, Penpitcha Thongnarintr, Apichaya Kuama, Pakorn Yodprom

The cardiomegaly can be determined by the cardiothoracic ratio (CTR) which can be measured in a chest x-ray image. It is calculated based on a relationship between a size of heart…

“Automatic” interpretation of multiple correspondence analysis (MCA) results for nonexpert users, using R programming

Stratos Moschidis, Angelos Markos, Athanasios C. Thanopoulos

The purpose of this paper is to create an automatic interpretation of the results of the method of multiple correspondence analysis (MCA) for categorical variables, so that the…

Detecting and staging diabetic retinopathy in retinal images using multi-branch CNN

Worapan Kusakunniran, Sarattha Karnjanapreechakorn, Pitipol Choopong, Thanongchai Siriapisith, Nattaporn Tesavibul, Nopasak Phasukkijwatana, Supalert Prakhunhungsit, Sutasinee Boonsopon

This paper aims to propose a solution for detecting and grading diabetic retinopathy (DR) in retinal images using a convolutional neural network (CNN)-based approach. It could…

Use of chatbots for customer service in MSMEs

Jorge Cordero, Luis Barba-Guaman, Franco Guamán

This research work aims to arise from developing new communication channels for customer service in micro, small and medium enterprises (MSMEs), such as chatbots. In particular…

An empirical study on the use of a facial emotion recognition system in guidance counseling utilizing the technology acceptance model and the general comfort questionnaire

Dhong Fhel K. Gom-os, Kelvin Y. Yong

The goal of this study is to test the real-world use of an emotion recognition system.

Cyber threat: its origins and consequence and the use of qualitative and quantitative methods in cyber risk assessment

James Crotty, Elizabeth Daniel

Consumers increasingly rely on organisations for online services and data storage while these same institutions seek to digitise the information assets they hold to create…

A lightweight deep learning approach to mouth segmentation in color images

Kittisak Chotikkakamthorn, Panrasee Ritthipravat, Worapan Kusakunniran, Pimchanok Tuakta, Paitoon Benjapornlert

Mouth segmentation is one of the challenging tasks of development in lip reading applications due to illumination, low chromatic contrast and complex mouth appearance. Recently…

Realizing the promise of big data: how Taiwan can help the world reduce medical errors and advance precision medicine

Kevin Wang, Peter Alexander Muennig

The study explores how Taiwan’s electronic health data systems can be used to build algorithms that reduce or eliminate medical errors and to advance precision medicine.

Neural networks for anatomical therapeutic chemical (ATC) classification

Loris Nanni, Alessandra Lumini, Sheryl Brahnam

Automatic anatomical therapeutic chemical (ATC) classification is progressing at a rapid pace because of its potential in drug development. Predicting an unknown compound's…

Measuring digital transformation in higher education institutions – content validity instrument

Lina María Castro Benavides, Johnny Alexander Tamayo Arias, Daniel Burgos, Alke Martens

This study aims to validate the content of an instrument which identifies the organizational, sociocultural and technological characteristics that foster digital transformation…

Analysis and optimization of Dual Parallel Partition Sorting with OpenMP

Sirilak Ketchaya, Apisit Rattanatranurak

Sorting is a very important algorithm to solve problems in computer science. The most well-known divide and conquer sorting algorithm is quicksort. It starts with dividing the…

Discovering self-quantified patterns using multi-time window models

Luke McCully, Hung Cao, Monica Wachowicz, Stephanie Champion, Patricia A.H. Williams

A new research domain known as the Quantified Self has recently emerged and is described as gaining self-knowledge through using wearable technology to acquire information on…

Design of ensemble recurrent model with stacked fuzzy ARTMAP for breast cancer detection

Abhishek Das, Mihir Narayan Mohanty

In time and accurate detection of cancer can save the life of the person affected. According to the World Health Organization (WHO), breast cancer occupies the most frequent…

Ontological model for the acoustic management in a smart environment

Gabriela Santiago, Jose Aguilar

The Reflective Middleware for Acoustic Management (ReM-AM), based on the Middleware for Cloud Learning Environments (AmICL), aims to improve the interaction between users and…

A review of cross-border cooperation regulation for digital forensics in LATAM from the soft systems methodology

Lelia Cristina Díaz-Pérez, Ana Laura Quintanar-Reséndiz, Graciela Vázquez-Álvarez, Rubén Vázquez-Medina

Based on this holistic model, the authors propose and analyze seven key issues related to the admissibility of digital media in cross-border trials considering four Latin American…

Email classification analysis using machine learning techniques

Khalid Iqbal, Muhammad Shehrayar Khan

In this digital era, email is the most pervasive form of communication between people. Many users become a victim of spam emails and their data have been exposed.

Face recognition under mask-wearing based on residual inception networks

Warot Moungsouy, Thanawat Tawanbunjerd, Nutcha Liamsomboon, Worapan Kusakunniran

This paper proposes a solution for recognizing human faces under mask-wearing. The lower part of human face is occluded and could not be used in the learning process of face…

Spatial prediction of flood-susceptible zones in the Ourika watershed of Morocco using machine learning algorithms

Modeste Meliho, Abdellatif Khattabi, Zejli Driss, Collins Ashianga Orlando

The purpose of the paper is to predict mapping of areas vulnerable to flooding in the Ourika watershed in the High Atlas of Morocco with the aim of providing a useful tool capable…

A novel independent job rescheduling strategy for cloud resilience in the cloud environment

Fei Xie, Jun Yan, Jun Shen

Although proactive fault handling plans are widely spread, many unexpected data center outages still occurred. To rescue the jobs from faulty data centers, the authors propose a…

Autonomous cycles of data analysis tasks for innovation processes in MSMEs

Ana Gutiérrez, Jose Aguilar, Ana Ortega, Edwin Montoya

The authors propose the concept of “Autonomic Cycle for innovation processes,” which defines a set of tasks of data analysis, whose objective is to improve the innovation process…

Identification of markers and artificial intelligence-based classification of radical Twitter data

Mohammad Fraiwan

Social networks (SNs) have recently evolved from a means of connecting people to becoming a tool for social engineering, radicalization, dissemination of propaganda and…

Improving handwritten digit recognition using hybrid feature selection algorithm

Fung Yuen Chin, Kong Hoong Lem, Khye Mun Wong

The amount of features in handwritten digit data is often very large due to the different aspects in personal handwriting, leading to high-dimensional data. Therefore, the…

Fast-converging chain-cluster-based routing protocols using the Red-Deer Algorithm in Wireless Sensor Networks

Kamalakshi Dayal, Vandana Bassoo

The performance of Wireless Sensor Networks (WSNs) applications is bounded by the limited resources of battery-enabled Sensor Nodes (SNs), which include energy and computational…

Subject independent emotion recognition using EEG and physiological signals – a comparative study

Manju Priya Arthanarisamy Ramaswamy, Suja Palaniswamy

The aim of this study is to investigate subject independent emotion recognition capabilities of EEG and peripheral physiological signals namely: electroocoulogram (EOG)…

The construction of an accurate Arabic sentiment analysis system based on resources alteration and approaches comparison

Ibtissam Touahri

This paper purposed a multi-facet sentiment analysis system.

The systems architecture ontology (SAO): an ontology-based design method for cyber–physical systems

Diego Camara Sales, Leandro Buss Becker, Cristian Koliver

Managing components' resources plays a critical role in the success of systems' architectures designed for cyber–physical systems (CPS). Performing the selection of candidate…

Ubi-Flex-Cloud: ubiquitous flexible cloud computing: status quo and research imperatives

Akhilesh S Thyagaturu, Giang Nguyen, Bhaskar Prasad Rimal, Martin Reisslein

Cloud computing originated in central data centers that are connected to the backbone of the Internet. The network transport to and from a distant data center incurs long…

A literature review on users' behavioral intention toward chatbots' adoption

Paraskevi Gatzioufa, Vaggelis Saprikis

Despite the fact that chatbots have been largely adopted for the last few years, a comprehensive literature review research focusing on the intention of individuals to adopt…

Modeling of mobile channels using TIMS in IT education

Martin Rakús, Peter Farkaš, Tomáš Páleník

The purpose of this paper is to directly link information technology (IT) education with real-world phenomena.

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…

Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model

Gopi Battineni, Nalini Chintalapudi, Francesco Amenta

As of July 30, 2020, more than 17 million novel coronavirus disease 2019 (COVID-19) cases were registered including 671,500 deaths. Yet, there is no immediate medicine or…

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…

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…

Until you have something to lose! Loss aversion and two-factor authentication adoption

Ahmad R. Pratama, Firman M. Firmansyah

In this study, the authors seek to understand factors that naturally influence users to adopt two-factor authentication (2FA) without even trying to intervene by investigating…

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…

Predicting student performance in a blended learning environment using learning management system interaction data

Kiran Fahd, Shah Jahan Miah, Khandakar Ahmed

Student attritions in tertiary educational institutes may play a significant role to achieve core values leading towards strategic mission and financial well-being. Analysis of…

An overlapping sliding window and combined features based emotion recognition system for EEG signals

Shruti Garg, Rahul Kumar Patro, Soumyajit Behera, Neha Prerna Tigga, Ranjita Pandey

The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data.

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…

ELMOPP: an application of graph theory and machine learning to traffic light coordination

Fareed Sheriff

This paper presents the Edge Load Management and Optimization through Pseudoflow Prediction (ELMOPP) algorithm, which aims to solve problems detailed in previous algorithms;…

Supervised learning and resampling techniques on DISC personality classification using Twitter information in Bahasa Indonesia

Ema Utami, Irwan Oyong, Suwanto Raharjo, Anggit Dwi Hartanto, Sumarni Adi

Gathering knowledge regarding personality traits has long been the interest of academics and researchers in the fields of psychology and in computer science. Analyzing profile…

IDMPF: intelligent diabetes mellitus prediction framework using machine learning

Leila Ismail, Huned Materwala

Machine Learning is an intelligent methodology used for prediction and has shown promising results in predictive classifications. One of the critical areas in which machine…

A novel method for developing post-quantum cryptoschemes and a practical signature algorithm

Nikolay Andreevich Moldovyan, Dmitriy Nikolaevich Moldovyan

The practical purpose of this research is to propose a candidate for post-quantum signature standard that is free of significant drawback of the finalists of the NIST world…

Spline functions for Arabic morphological disambiguation

Mohamed Boudchiche, Azzeddine Mazroui

We have developed in this paper a morphological disambiguation hybrid system for the Arabic language that identifies the stem, lemma and root of a given sentence words. Following…

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…

Clustering as feature selection method in spam classification: uncovering sick-leave sellers

Mariam Elhussein, Samiha Brahimi

This paper aims to propose a novel way of using textual clustering as a feature selection method. It is applied to identify the most important keywords in the profile…

Classification models for likelihood prediction of diabetes at early stage using feature selection

Oladosu Oyebisi Oladimeji, Abimbola Oladimeji, Olayanju Oladimeji

Diabetes is one of the life-threatening chronic diseases, which is already affecting 422m people globally based on (World Health Organization) WHO report as at 2018. This costs…

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…

Audiogmenter: a MATLAB toolbox for audio data augmentation

Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan

Create and share a MATLAB library that performs data augmentation algorithms for audio data. This study aims to help machine learning researchers to improve their models using the…

Precise and parallel segmentation model (PPSM) via MCET using hybrid distributions

Soha Rawas, Ali El-Zaart

Image segmentation is one of the most essential tasks in image processing applications. It is a valuable tool in many oriented applications such as health-care systems, pattern…

Longitudinal estimation of stress-related states through bio-sensor data

Vadym Mozgovoy

The authors aim to develop a conceptual framework for longitudinal estimation of stress-related states in the wild (IW), based on the machine learning (ML) algorithms that use…

Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors

Habeeb Balogun, Hafiz Alaka, Christian Nnaemeka Egwim

This paper seeks to assess the performance levels of BA-GS-LSSVM compared to popular standalone algorithms used to build NO₂ prediction models. The purpose of this paper is to…

Robust dual-tone multi-frequency tone detection using k-nearest neighbour classifier for a noisy environment

Arunit Maity, P. Prakasam, Sarthak Bhargava

Due to the continuous and rapid evolution of telecommunication equipment, the demand for more efficient and noise-robust detection of dual-tone multi-frequency (DTMF) signals is…

SARS-CoV-2 epidemic calculation in Italy by SEIR compartmental models

Gopi Battineni, Nalini Chintalapudi, Francesco Amenta

After the identification of a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at Wuhan, China, a pandemic was widely spread worldwide. In Italy, about 240,000…

Design of a small-scale and failure-resistant IaaS cloud using OpenStack

Samuel Heuchert, Bhaskar Prasad Rimal, Martin Reisslein, Yong Wang

Major public cloud providers, such as AWS, Azure or Google, offer seamless experiences for infrastructure as a service (IaaS), platform as a service (PaaS) and software as a…

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…

Solar power generation forecasting using ensemble approach based on deep learning and statistical methods

Mariam AlKandari, Imtiaz Ahmad

Solar power forecasting will have a significant impact on the future of large-scale renewable energy plants. Predicting photovoltaic power generation depends heavily on climate…

Robust ensemble of handcrafted and learned approaches for DNA-binding proteins

Loris Nanni, Sheryl Brahnam

Automatic DNA-binding protein (DNA-BP) classification is now an essential proteomic technology. Unfortunately, many systems reported in the literature are tested on only one or…

An architecture as a code framework to manage documentation of IT projects

Christophe Gaie, Bertrand Florat, Steven Morvan

In the present article, the authors tackle the problem of IT documentation, which plays an important role in information technology (IT) project management.

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…

ODCR: Energy Efficient and Reliable Density Clustered-based routing protocol for emergency sensor applications

Mohammed S. Al-kahtani, Lutful Karim, Nargis Khan

Designing an efficient routing protocol that opportunistically forwards data to the destination node through nearby sensor nodes or devices is significantly important for an…

Why and how informatics and applied computing can still create structural changes and competitive advantage

Sarandis Mitropoulos, Christos Douligeris

In the new digital age, enterprises are facing an increasing global competition. In this paper, we first examine how Information Technology (IT) can play an important role in…

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…

WisdomModel: convert data into wisdom

Israa Mahmood, Hasanen Abdullah

Traditional classification algorithms always have an incorrect prediction. As the misclassification rate increases, the usefulness of the learning model decreases. This paper…

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…

An online emergency medical management information system using mobile computing

Sarandis Mitropoulos, Christos Mitsis, Petros Valacheas, Christos Douligeris

The purpose of this paper is to investigate the way technology affects the provision of prehospital emergency care, upgrading the quality of services offered and significantly…

Using transfer learning for diabetic retinopathy stage classification

Enas M.F. El Houby

Diabetic retinopathy (DR) is one of the dangerous complications of diabetes. Its grade level must be tracked to manage its progress and to start the appropriate decision for…