Applied Computing and Informatics , Open Access
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Information and Knowledge ManagementRadioPharmaDose, a java-based open-source software for estimating and reporting internal radiation doses
Jaafar EL Bakkali, Hamid Mansouri, Abderrahim DoudouhIn this work, a user-friendly Java-based open-source software has been developed for internal radiation dosimetry. Based on values published by the International…
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…
Quality of classification with LERS system in the data size context
M. Sudha, A. KumaravelRough set theory is a simple and potential methodology in extracting and minimizing rules from decision tables. Its concepts are core, reduct and discovering knowledge in…
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…
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…
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…
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…
Energy-efficient chain-cluster based intelligent routing technique for wireless sensor networks
Natasha Ramluckun, Vandana BassooWith the increasing acclaim of Wireless Sensor Networks and its diverse applications, research has been directed into optimising and prolonging the network lifetime…
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…
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…
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…
The personalization of e-learning systems with the contrast of strategic knowledge and learner’s learning preferences: an investigatory analysis
Alan MustafaIn this study, reasons for proving the relevancy of personalisation of e-learning systems to act as a knowledge management system in which tacit to tacit type of knowledge…
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…
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…
Classification assessment methods
Alaa TharwatClassification techniques have been applied to many applications in various fields of sciences. There are several ways of evaluating classification algorithms. The…
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…
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…
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…
A novel reference model for ambient assisted living systems' architectures
El murabet Amina, Abtoy Anouar, Touhafi Abdellah, Tahiri AbderahimAAL (Ambient Assisted Living) is lacking a RM (Reference Model) to serve as an abstraction of the domain. Therefore, to help implement new architectures established on the…
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…
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…
Implementation of new hybrid lightweight cryptosystem
C.G. Thorat, V.S. InamdarEmbedded systems, Internet of Things (IoT) and mobile computing devices are used in various domains which include public-private infrastructure, industrial installation…
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…
Intuitionistic fuzzy model for reliability management in wind turbine system
Daniel.O. AikhueleA flexible model which is based on a Triangular intuitionistic flexibility ranking and aggregating (TIFRA) operator is proposed for failure detection and reliability…
Hybrid binary bat enhanced particle swarm optimization algorithm for solving feature selection problems
Mohamed A. Tawhid, Kevin B. DsouzaIn this paper, we present a new hybrid binary version of bat and enhanced particle swarm optimization algorithm in order to solve feature selection problems. The proposed…
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…
A framework for big data analytics approach to failure prediction of construction firms
Hafiz A. Alaka, Lukumon O. Oyedele, Hakeem A. Owolabi, Muhammad Bilal, Saheed O. Ajayi, Olugbenga O. AkinadeThis study explored use of big data analytics (BDA) to analyse data of a large number of construction firms to develop a construction business failure prediction model…
Intensive summer course in robotics – Robotcraft
N.M. Fonseca Ferreira, André Araujo, M.S. Couceiro, David PortugalThis paper describes a two-month summer intensive course designed to introduce participants with a hands-on technical craft on robotics and to acquire experience in the…
The cognitive function and the framework of the functional hierarchy
Ulla GainCognitive computing is part of AI and cognitive applications consists of cognitive services, which are building blocks of the cognitive systems. These applications mimic…
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…
A robust single and multiple moving object detection, tracking and classification
T. Mahalingam, M. SubramoniamSurveillance is the emerging concept in the current technology, as it plays a vital role in monitoring keen activities at the nooks and corner of the world. Among which…
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…
Using the hierarchical temporal memory spatial pooler for short-term forecasting of electrical load time series
E.N. OsegiIn this paper, an emerging state-of-the-art machine intelligence technique called the Hierarchical Temporal Memory (HTM) is applied to the task of short-term load…
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…
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…
Graph node rank based important keyword detection from Twitter
Mukesh Kumar, Palak RehanSocial media networks like Twitter, Facebook, WhatsApp etc. are most commonly used medium for sharing news, opinions and to stay in touch with peers. Messages on twitter…
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…
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…
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…
Fast iterative algorithms for birefringent filter design
Abdelhak BoukharoubaFast iterative algorithms for designing birefringent filters with any specified spectral response are proposed. From the Jones formalism, we derive two polynomials…
Difference of two norms-regularizations for Q-Lasso
Abdellatif MoudafiThe focus of this paper is in Q-Lasso introduced in Alghamdi et al. (2013) which extended the Lasso by Tibshirani (1996). The closed convex subset Q belonging in a…
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…
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…
Independent component analysis: An introduction
Alaa TharwatIndependent component analysis (ICA) is a widely-used blind source separation technique. ICA has been applied to many applications. ICA is usually utilized as a black box…
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…
Artificial Neural Networks and Machine Learning techniques applied to Ground Penetrating Radar: A review
Xisto L. Travassos, Sérgio L. Avila, Nathan IdaGround Penetrating Radar is a multidisciplinary Nondestructive Evaluation technique that requires knowledge of electromagnetic wave propagation, material properties and…
Segmentation based traversing-agent approach for road width extraction from satellite images using volunteered geographic information
Prajowal Manandhar, Prashanth Reddy Marpu, Zeyar AungWe make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as…
Ensemble of convolutional neural networks for bioimage classification
Loris Nannia, Stefano Ghidoni, Sheryl BrahnamThis work presents a system based on an ensemble of Convolutional Neural Networks (CNNs) and descriptors for bioimage classification that has been validated on different…
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…
A novel intelligent object-oriented three-dimensional simulation system for physics experimentation
Rania M. Ghoniem, H.A. Abas, H.A. BdairDespite the fact that there being a large literature on simulation, there is as yet no generic paradigm or architecture to develop a three-dimensional (3-D) simulator…
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…
Routing and schedule simulation of a biomass energy supply chain through SimPy simulation package
T.M. Pinho, J.P. Coelho, P.M. Oliveira, B. Oliveira, A. Marques, J. Rasinmäki, A.P. Moreira, G. Veiga, J. Boaventura-CunhaThe optimisation of forest fuels supply chain involves several entities actors, and particularities. To successfully manage these supply chains, efficient tools must be…
New road anomaly detection and characterization algorithm for autonomous vehicles
H. Bello-Salau, A.M. Aibinu, A.J. Onumanyi, E.N. Onwuka, J.J. Dukiya, H. OhizeThis paper presents a new algorithm for detecting and characterizing potholes and bumps directly from noisy signals acquired using an Accelerometer. A wavelet…
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…
Tuning of power system stabilizer for small signal stability improvement of interconnected power system
Prasenjit Dey, Aniruddha Bhattacharya, Priyanath DasThis paper reports a new technique for achieving optimized design for power system stabilizers. In any large scale interconnected systems, disturbances of small magnitudes…
Improving accessibility and security on document management system: A Malaysian case study
Siti Salbiah Zainal Abidin, Mohd Heikal HusinDocument management system is an essential approach that should be managed well to ensure an effective and faster overall working process in an organization. Hardcopy…
A review on multi-criteria decision-making for energy efficiency in automotive engineering
Djan Magalhaes Castro, Fernando Silv ParreirasGovernments around the world instituted guidelines for calculating energy efficiency of vehicles not only by models, but by the whole universe of new vehicles registered…
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…
Interference-aware multipath routing for WSNs: overview and performance evaluation
Moufida MaimourMultipath routing holds a great potential to provide sufficient bandwidth to a plethora of applications in wireless sensor networks. In this paper, we consider the problem…
ISSN:
2634-1964Online date, start – end:
2020Copyright Holder:
Saudi Computer Society, King Saud University(opens new window)Open access:
open accessEditor:
- Professor Hatim Aboalsamh