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Review ArticleOpen accessIn the abstractMeta-Analysis of Data Collect MethodsIman Tikito, Mohammed El Arass, Nissrine SouissiSeveral organizations from different sectors depend increasingly on knowledge extracted from huge volumes of data generated by different sources, such as IoT, sensors and databases. At the core of data lifecycle, data reliability, analytics, security, scalability and use are important concerns. Coping with these issues in handling data requires understanding the challenges associated with it. Analysis process and storage devices … …Journal of Computer Science, Vol. 15, Issue 8 · 24 Aug 2019 · 7,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of Energy Types: Fossil, Nuclear and Renewable Energies and their Evaluation in Terms of Environmental Pollution and EconomicallySara Abdollahi, Meysam Madadi, Soleyman Ghorbanzadeh et al.Unwise and increasing exploitation of various energy carriers, including oil, gas and coal, has made countries to focus on two major issues, namely running out fossil fuels, as well as environmental pollution. Hence, one of the main priorities of energy policy is to diversification of energy sources, as well as finding a safe, cheap and nonpolluting energy source (devoid of … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 3 · 18 Jul 2019 · 8,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Functional Analysis of the Basic Helix-Loop-Helix Proteins in the Clawed Frogs' Genomes With Common Essential Pathways and Enriched Gene Ontology TermsWuyi LiuThe international Gene Ontology (GO) and pathway databases were used to functionally analyze the clawed frogs' Basic Helix-Loop-Helix (bHLH) transcription factors of Xenopus tropicalis and Xenopus laevis in a updated genome-wide survey. There were 41 GO terms and one pathway significantly enriched for Xenopus tropicalis, whereas there were 45 GO terms and 3 pathways significantly enriched for Xenopus laevis. Among … …American Journal of Biochemistry and Biotechnology, Vol. 15, Issue 1 · 28 Mar 2019 · 8,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study of Data Mining Classification Techniques for Detection and Prediction of Phishing WebsitesLuai Al-ShalabiData mining is the process of discovering or extracting information from large amount of data that are stored in databases or datasets such as phishing dataset. Phishing is a vital web security problem that involves simulating legitimate websites to mislead online users in order to steal their sensitive information. This paper aims to detect and predict the type of the … …Journal of Computer Science, Vol. 15, Issue 3 · 19 Mar 2019 · 7,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractMCMC-Fuzzy: A Fuzzy Metric Applied to Bayesian Network Structure LearningBeatriz Wilges, Ademar Crotti Junior, Silvia Modesto NassarBayesian network structure learning is considered a complex task as the number of possible structures grows exponentially with the number of variables. Two main methods are used for Bayesian network structure learning: Conditional independence, a method in which a structure is created consistently with independence tests performed on data; and the heuristic search method that explores the structure space. Hybrid … …Journal of Computer Science, Vol. 14, Issue 8 · 24 Aug 2018 · 8,247 accessesView PDFCite
Review ArticleOpen accessIn the abstractApplications of Nature-Inspired Algorithms in Different Aspects of Semantic WebDeepika Chaudhary, Jaiteg Singh, D. P. KothariNature has always inspired us all the waggle dance of Honey bee, the school of whales and the swarm of ants, each element when observed carefully has the abundance of teachings. If we carefully observe nature, we find that although Nature seems to be very simple and systematic, it hides many complexities underneath it. As technology also follows the same … …Journal of Computer Science, Vol. 14, Issue 2 · 14 Feb 2018 · 8,765 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Informetric Analysis of Studies on Influenza Vaccines and VaccinationVadim Nikolaevich Gureyev, Nikolay Alekseevich Mazov, Tatyana Nikolaevna Ilyicheva, Sergei Ivanovich BazhanInfluenza is one of highly contagious acute virus diseases that primarily affects respiratory ways. Annual seasonal epidemics afflict approximately 15% population worldwide and lead to 250,000–500,000 deaths each year. That is why studies on influenza vaccines and vaccination that prevent spreading of the virus remain highly important. This paper presents the results of informetric analysis of publications on influenza vaccine … …OnLine Journal of Biological Sciences, Vol. 17, Issue 4 · 13 Dec 2017 · 7,278 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Authentication and Homomorphic Encryption as a Service Model for Preserving Privacy in CloudsKarim Zkik, Maha Tebaa, Tarik Tachihante, Ghizlane OrhanouThe security as a Service (SECaaS) is a new model which provides security solution to users through Cloud Computing. The maturity of Cloud Computing services makes possible the use of the SECaaS model. This new model offers huge benefits to users, such as Authentication as a Service (AaaS) and Encryption as a Service (ENCaaS). So, it can offer more security … …Journal of Computer Science, Vol. 13, Issue 12 · 15 Nov 2017 · 7,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying EnvironmentSujata G. Bhele, V.H. MankarFace recognition involves matching face images with different environmental conditions. Matching face images with different environmental conditions is not a easy task. Also matching face images considering variations such as changing illumination, pose, facial expression and that with uncontrolled conditions becomes more difficult. This paper focuses on accurately recognizing face images considering all the above variations. The proposed system is … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 31 Aug 2017 · 8,137 accessesView PDFCite
Review ArticleOpen accessIn the abstractReview on Vision-Based Gait Recognition: Representations, Classification Schemes and DatasetsChin Poo Lee, Alan Wee Chiat Tan, Kian Ming LimGait has unique advantage at a distance when other biometrics cannot be used since they are at too low resolution or obscured, as commonly observed in visual surveillance systems. This paper provides a survey of the technical advancements in vision-based gait recognition. A wide range of publications are discussed in this survey embracing different perspectives of the research in this … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 6 Feb 2017 · 8,253 accessesView PDFCite