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…

ChatGPT-powered deep learning: elevating brain tumor detection in MRI scans

Soha Rawas, Cerine Tafran, Duaa AlSaeed

Accurate diagnosis of brain tumors is crucial for effective treatment and improved patient outcomes. Magnetic resonance imaging (MRI) is a common method for detecting brain…

Gender variability in machine learning based subcortical neuroimaging for Parkinson’s disease diagnosis

Nair Ul Islam, Ruqaiya Khanam

This study evaluates machine learning (ML) classifiers for diagnosing Parkinson’s disease (PD) using subcortical brain region data from 3D T1 magnetic resonance imaging (MRI…

Comparative analysis of convolutional neural network and DenseNet121 transfer learning in agriculture focusing on crop leaf disease identification

Heru Agus Santoso, Brylian Fandhi Safsalta, Nanang Febrianto, Galuh Wilujeng Saraswati, Su-Cheng Haw

Plant cultivation holds a pivotal role in agriculture, necessitating precise disease identification for the overall health of plants. This research conducts a comprehensive…

Bi-directional adaptive enhanced A* algorithm for mobile robot navigation

Atef Gharbi

The present paper aims to address challenges associated with path planning and obstacle avoidance in mobile robotics. It introduces a pioneering solution called the Bi-directional…

A dynamic reward-enhanced Q-learning approach for efficient path planning and obstacle avoidance in mobile robotics

Atef Gharbi

The purpose of the paper is to propose and demonstrate a novel approach for addressing the challenges of path planning and obstacle avoidance in the context of mobile robots (MR)…

Brain tumor classification using ResNet50-convolutional block attention module

Oladosu Oyebisi Oladimeji, Ayodeji Olusegun J. Ibitoye

Diagnosing brain tumors is a process that demands a significant amount of time and is heavily dependent on the proficiency and accumulated knowledge of radiologists. Over the…

Interca: an R library implementing “automatic” interpretation of results of multiple correspondence analysis (MCA)

Stratos Moschidis, Angelos Markos, Dimosthenis Ioannidis

The purpose of this paper is to develop a software-library in the R programming language that implements the concepts of the interpretive coordinate, interpretive axis and…

Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals

Quoc Duy Nam Nguyen, Hoang Viet Anh Le, Tadashi Nakano, Thi Hong Tran

In the wine industry, maintaining superior quality standards is crucial to meet the expectations of both producers and consumers. Traditional approaches to assessing wine quality…

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…

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…

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…

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…

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…

“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…

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…

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.

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…

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 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…

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…

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…

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.

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…

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…

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…

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…

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…

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.

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…

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…

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…

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 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…

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.

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)…

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…

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.

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…

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 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…

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.

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…