Applied Computing and Informatics , Open Access
Issue(s) available: 3 – From Volume: 16 Issue: 1/2, to Volume: 17 Issue: 2
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…
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…
Design and development of a web-based application for structural shielding calculation of medical X-ray imaging facilities
Cristian Sosa Vera, Pablo AndresA user-friendly HTML-based open-source software has been developed for structural shielding design of medical X-ray imaging facilities. Based on values published by the…
Model discovery, and replay fitness validation using inductive mining techniques in medical training of CVC surgery
Gopi Battineni, Nalini Chintalapudi, Francesco AmentaMedical training is a foundation on which better health care quality has been built. Freshly graduated doctors have required a good knowledge of practical competencies…
A novel method for developing post-quantum cryptoschemes and a practical signature algorithm
Nikolay Andreevich Moldovyan, Dmitriy Nikolaevich MoldovyanThe 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…
IDMPF: intelligent diabetes mellitus prediction framework using machine learning
Leila Ismail, Huned MaterwalaMachine Learning is an intelligent methodology used for prediction and has shown promising results in predictive classifications. One of the critical areas in which…
An online emergency medical management information system using mobile computing
Sarandis Mitropoulos, Christos Mitsis, Petros Valacheas, Christos DouligerisThe purpose of this paper is to investigate the way technology affects the provision of prehospital emergency care, upgrading the quality of services offered and…
Classification models for likelihood prediction of diabetes at early stage using feature selection
Oladosu Oyebisi Oladimeji, Abimbola Oladimeji, Olayanju OladimejiDiabetes 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…
Until you have something to lose! Loss aversion and two-factor authentication adoption
Ahmad R. Pratama, Firman M. FirmansyahIn this study, the authors seek to understand factors that naturally influence users to adopt two-factor authentication (2FA) without even trying to intervene by…
ELMOPP: an application of graph theory and machine learning to traffic light coordination
Fareed SheriffThis paper presents the Edge Load Management and Optimization through Pseudoflow Prediction (ELMOPP) algorithm, which aims to solve problems detailed in previous…
Robust dual-tone multi-frequency tone detection using k-nearest neighbour classifier for a noisy environment
Arunit Maity, P. Prakasam, Sarthak BhargavaDue to the continuous and rapid evolution of telecommunication equipment, the demand for more efficient and noise-robust detection of dual-tone multi-frequency (DTMF…
Robust ensemble of handcrafted and learned approaches for DNA-binding proteins
Loris Nanni, Sheryl BrahnamAutomatic DNA-binding protein (DNA-BP) classification is now an essential proteomic technology. Unfortunately, many systems reported in the literature are tested on only…
An architecture as a code framework to manage documentation of IT projects
Christophe Gaie, Bertrand Florat, Steven MorvanIn the present article, the authors tackle the problem of IT documentation, which plays an important role in information technology (IT) project management.
Feature selection based on weighted conditional mutual information
Hongfang Zhou, Xiqian Wang, Yao ZhangFeature 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…
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 AmentaAs 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…
Energy-efficient genetic algorithm variants of PEGASIS for 3D Wireless Sensor Networks
Aaqil Somauroo, Vandana BassooDue to its boundless potential applications, Wireless Sensor Networks have been subject to much research in the last two decades. WSNs are often deployed in remote…
Assessing university students' perception of academic quality using machine learning
Alberto Guillén Perales, Francisco Liébana-Cabanillas, Juan Sánchez-Fernández, Luis Javier HerreraThe aim of this research is to assess the influence of the underlying service quality variable, usually related to university students' perception of the educational…
Aspect-based sentiment analysis using smart government review data
Omar Alqaryouti, Nur Siyam, Azza Abdel Monem, Khaled ShaalanDigital resources such as smart applications reviews and online feedback information are important sources to seek customers’ feedback and input. This paper aims to help…
An audio encryption scheme based on Fast Walsh Hadamard Transform and mixed chaotic keystreams
F.J. Farsana, V.R. Devi, K. GopakumarThis paper introduces an audio encryption algorithm based on permutation of audio samples using discrete modified Henon map followed by substitution operation with…
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 GuerouiThe 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…
Change management and adoption of health information technology (HIT)/eHealth in public hospitals in Ghana: A qualitative study
Salifu Yusif, Abdul Hafeez-Baig, Jeffrey SoarIn Ghana, as with other developing countries, there are several health information technology (HIT) initiatives as interventions to improve healthcare delivery. HIT…
Swarm intelligence versus direct cover algorithms in synthesis of Multi-Valued Logic functions
Mostafa Abd-El-Barr, Kalim Qureshi, Bambang SarifAnt Colony Optimization and Particle Swarm Optimization represent two widely used Swarm Intelligence (SI) optimization techniques. Information processing using…
DNA short read alignment on apache spark
Maryam AlJame, Imtiaz AhmadThe evolution of technologies has unleashed a wealth of challenges by generating massive amount of data. Recently, biological data has increased exponentially, which has…
Spline functions for Arabic morphological disambiguation
Mohamed Boudchiche, Azzeddine MazrouiWe 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…
Revised approach for the prediction of functional size of mobile application
Ziema Mushtaq, Abdul WahidMobile applications affect our everyday activities and have become more and more information centric. Effort estimation for mobile application is an essential factor to…
A Mixed approach of Deep Learning method and Rule-Based method to improve Aspect Level Sentiment Analysis
Paramita Ray, Amlan ChakrabartiSocial networks have changed the communication patterns significantly. Information available from different social networking sites can be well utilized for the analysis…
Precise and parallel segmentation model (PPSM) via MCET using hybrid distributions
Soha Rawas, Ali El-ZaartImage 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…
SARS-CoV-2 epidemic calculation in Italy by SEIR compartmental models
Gopi Battineni, Nalini Chintalapudi, Francesco AmentaAfter 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…
Solar power generation forecasting using ensemble approach based on deep learning and statistical methods
Mariam AlKandari, Imtiaz AhmadSolar power forecasting will have a significant impact on the future of large-scale renewable energy plants. Predicting photovoltaic power generation depends heavily on…
A prototype mobile application for the Athens Numismatic Museum
Pantelis Chasapis, Sarandis Mitropoulos, Christos DouligerisThe continuous development of mobile platforms provides the opportunity to integrate and improve existing applications or to introduce new features to make life better…
Deep learning for plankton and coral classification
Alessandra Lumini, Loris Nanni, Gianluca MaguoloIn this paper, we present a study about an automated system for monitoring underwater ecosystems. The system here proposed is based on the fusion of different deep…
Joint method using Akamatsu and discrete wavelet transform for image restoration
Jihad Maulana Akbar, De Rosal Ignatius Moses SetiadiCurrent technology makes it easy for humans to take an image and convert it to digital content, but sometimes there is additional noise in the image so it looks damaged…
Conceptual framework of a skill-based interactive employee engaging system: In the Context of Upskilling the present IT organization
Siddarth Nair, Abhishek Kaushik, Harnaik DhootSkills form an integral part of an organization for its efficient functioning. This research study investigates mechanisms to actively persuade employees and organizations…
Utility of a Shuffled Differential Evolution algorithm in designing of a Pi-Sigma Neural Network based predictor model
Rajashree Dash, Rasmita Rautray, Rasmita DashSince the last few decades, Artificial Neural Networks have been the center of attraction of a large number of researchers for solving diversified problem domains. Due to…
Handling data-skewness in character based string similarity join using Hadoop
Kanak Meena, Devendra K. Tayal, Oscar Castillo, Amita JainThe scalability of similarity joins is threatened by the unexpected data characteristic of data skewness. This is a pervasive problem in scientific data. Due to skewness…
ODCR: Energy Efficient and Reliable Density Clustered-based routing protocol for emergency sensor applications
Mohammed S. Al-kahtani, Lutful Karim, Nargis KhanDesigning an efficient routing protocol that opportunistically forwards data to the destination node through nearby sensor nodes or devices is significantly important for…
Predictive modeling of turning operations under different cooling/lubricating conditions for sustainable manufacturing with machine learning techniques
Djordje Cica, Branislav Sredanovic, Sasa Tesic, Davorin KramarSustainable manufacturing is one of the most important and most challenging issues in present industrial scenario. With the intention of diminish negative effects…
Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features
Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae ChoThis work presents a novel approach by considering teaching learning based optimization (TLBO) and radial basis function neural networks (RBFNs) for building a classifier…
Direct torque control of dual star induction motor using a fuzzy-PSO hybrid approach
Ghoulemallah Boukhalfa, Sebti Belkacem, Abdesselem Chikhi, Said BenaggouneThis paper presents the particle swarm optimization (PSO) algorithm in conjuction with the fuzzy logic method in order to achieve an optimized tuning of a proportional…
Predictive model of cardiac arrest in smokers using machine learning technique based on Heart Rate Variability parameter
R. Shashikant, P. ChetankumarCardiac arrest is a severe heart anomaly that results in billions of annual casualties. Smoking is a specific hazard factor for cardiovascular pathology, including…
A novel block chain technology publication model proposal
Amol Thakre, Fadi Thabtah, Seyed Reza Shahamiri, Suhel HammoudBitcoin is among the highest rated digital crypto-currency in financial investment markets. This technology relies on a backbone of distributed data architecture and…
A hybrid approach for log signature generation
Prabhat Pokharel, Roshan Pokhrel, Basanta JoshiAnalysis of log message is very important for the identification of a suspicious system and network activity. This analysis requires the correct extraction of variable…
An adaptive hybrid approach: Combining genetic algorithm and ant colony optimization for integrated process planning and scheduling
Mehmet Fatih Uslu, Süleyman Uslu, Faruk BulutOptimization algorithms can differ in performance for a specific problem. Hybrid approaches, using this difference, might give a higher performance in many cases. This…
Predictive modelling and analytics for diabetes using a machine learning approach
Harleen Kaur, Vinita KumariDiabetes is a major metabolic disorder which can affect entire body system adversely. Undiagnosed diabetes can increase the risk of cardiac stroke, diabetic nephropathy…
Market-driven management of start-ups: The case of wearable technology
Milad Dehghani, A. Mohammed Abubakar, Mohsen PashnaThe purpose of this paper is to identify and describe the drivers of lean approaches and successful management of wearable technology start-ups. The paper is a descriptive…
Security analysis of mobile crowd sensing applications
Nsikak P. Owoh, M. Mahinderjit SinghThe proliferation of mobile phones with integrated sensors makes large scale sensing possible at low cost. During mobile sensing, data mostly contain sensitive information…
A lifelong spam emails classification model
Rami Mustafa A. MohammadSpam emails classification using data mining and machine learning approaches has enticed the researchers' attention duo to its obvious positive impact in protecting…
Connecting the museum to the city environment from the visitor’s perspective
Konstantinos Koukoulis, Dimitrios Koukopoulos, Kali TzortziRecommendation systems are widely used in tourism in order to provide people personalized suggestions that would make their trip memorable. Nowadays, mobile assisted…
Data reconciliation and fusion methods: a survey
Abdelghani BakhtouchiWith the progress of new technologies of information and communication, more and more producers of data exist. On the other hand, the web forms a huge support of all these…
Frei-Chen bases based lossy digital image compression technique
Mahmood Al-khassaweneh, Omar AlShormanIn 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;…
Understanding trust on social networking sites among tertiary students: An empirical study in Ghana
Felix Nti Koranteng, Isaac Wiafe, Ferdinand Apietu Katsriku, Richard ApauUser trust in social networking sites (SNS) has become an important issue in SNS discussions. This is because of its impact on knowledge sharing, social commerce, social…
Sport analytics for cricket game results using machine learning: An experimental study
Kumash Kapadia, Hussein Abdel-Jaber, Fadi Thabtah, Wael HadiIndian Premier League (IPL) is one of the more popular cricket world tournaments, and its financial is increasing each season, its viewership has increased markedly and…
Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors
Sheryl Brahnam, Loris Nanni, Shannon McMurtrey, Alessandra Lumini, Rick Brattin, Melinda Slack, Tonya BarrierDiagnosing pain in neonates is difficult but critical. Although approximately thirty manual pain instruments have been developed for neonatal pain diagnosis, most are…
MulTed: a multilingual aligned and tagged parallel corpus
Imad Zeroual, Abdelhak LakhouajaRecently, more data-driven approaches are demanding multilingual parallel resources primarily in the cross-language studies. To meet these demands, building multilingual…
Autonomous recommender system architecture for virtual learning environments
Julián Monsalve-Pulido, Jose Aguilar, Edwin Montoya, Camilo SalazarThis article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of…
A VBA module simulation for finding optimal lag order in time series models and its use on teaching financial data computation
Alan Mustafa, Abdulnasser Hatemi-JIn this study, a tool has been designed and developed for learning about the concept of lag order within a dynamic model, which can be used in any teaching classes on…
Ranking potentially harmful Tor hidden services: Illicit drugs perspective
Mohd Faizan, Raees Ahmad Khan, Alka AgrawalCryptomarkets on the dark web have emerged as a hub for the sale of illicit drugs. They have made it easier for the customers to get access to illicit drugs online while…
Integrated data reduction model in wireless sensor networks
Walaa M. El-Sayed, Hazem M. El-Bakry, Salah M. El-SayedWireless sensor networks (WSNs) are periodically collecting data through randomly dispersed sensors (motes), which typically consume high energy in radio communication…
Moving objects classification via category-wise two-dimensional principal component analysis
Falah Alsaqre, Osama AlmathkourClassifying moving objects in video sequences has been extensively studied, yet it is still an ongoing problem. In this paper, we propose to solve moving objects…
Streaming feature selection algorithms for big data: A survey
Noura AlNuaimi, Mohammad Mehedy Masud, Mohamed Adel Serhani, Nazar ZakiOrganizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real…
Inpainting forgery detection using hybrid generative/discriminative approach based on bounded generalized Gaussian mixture model
Abdullah Alharbi, Wajdi Alhakami, Sami Bourouis, Fatma Najar, Nizar BouguilaWe propose in this paper a novel reliable detection method to recognize forged inpainting images. Detecting potential forgeries and authenticating the content of digital…
Mobile application for the purpose of marketing, product distribution and location-based logistics for elderly farmers
Sumitra NuanmeesriThis research has developed a one-stop service supply chain mobile application for the purpose of marketing, product distribution and location-based logistics for elderly…
ISSN:
2634-1964e-ISSN:
2210-8327Online date, start – end:
2020Copyright Holder:
Saudi Computer Society, King Saud University(opens new window)Open Access:
open accessEditor:
- Professor Hatim Aboalsamh