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30 articles for “Application Domains”
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Research ArticleOpen accessIn the abstractModified ACS Centroid Memory for Data ClusteringAyad Mohammed Jabbar, Ku Ruhana Ku-Mahamud, Rafid SagbanAnt Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. The key component that governs the search process in this algorithm is the management of its memory model. In contrast to other algorithms, ACO explicitly utilizes an adaptive memory, which is important to … …Journal of Computer Science, Vol. 15, Issue 10 · 11 Oct 2019 · 7,641 accessesView PDFCite
Review ArticleOpen accessIn the abstractSignal Domain in Respiratory Sound Analysis: Methods, Application and Future DevelopmentAchmad Rizal, Risanuri Hidayat, Hanung Adi NugrohoThe development of digital signal processing technology encourages researchers to develop better methods for automatic lungs sound recognition system than the existing ones. Lung sounds were originally assessed manually according to doctor's expertise. Signal processing techniques are intended to reduce subjectivity factor. Signal processing techniques for lung sound recognition are developed by researchers based on their point of view to … …Journal of Computer Science, Vol. 11, Issue 10 · 2 Jan 2016 · 8,840 accessesView PDFCite
Research ArticleOpen accessIn the abstractReducing Network Bandwidth Cost on End User Resources Consumption in Cloud EnvironmentBuchanagandi Enock Nyamajeje, Huiqun YuCloud computing has been envisioned as the next generation and attributed to the increasing growth of mobile devices. Rapid increment, increase demands and bandwidth cost of access cloud resources became essential user perceive incur higher cost for utilizing cloud services. Since researchers have proposed new methods, service provider need to collaborate to ensure reasonable level of QoS. In various methods, … …Journal of Computer Science, Vol. 11, Issue 9 · 25 Nov 2015 · 7,105 accessesView PDFCite
EditorialOpen accessIn the abstractRECENT TRENDS AND CHALLENGES OF ENERGY EFFICIENT AND SUSTAINABLE BUILDINGSChiara BedonAccording to several studies (e.g., the Intergovernmental Panel on Climate Change (IPCC, 2014), the US Energy Information Administration (US EIA, 2014), warming of the climate system is unequivocal and mainly derives from greenhouse gas emissions due to human activities. Global Carbon Dioxide (CO2) emissions from fossil fuels, for example, are estimated to be 29% higher in 2035 than they were … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 3 · 11 Sep 2014 · 8,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Selection for High Dimensional Data: An Evolutionary Filter ApproachAnwar Ali Yahya, Addin Osman, Abd Rahman Ramli, Adlan BalolaProblem statement: Feature selection is a task of crucial importance for the application of machine learning in various domains. In addition, the recent increase of data dimensionality poses a severe challenge to many existing feature selection approaches with respect to efficiency and effectiveness. As an example, genetic algorithm is an effective search algorithm that lends itself directly to feature selection; … …Journal of Computer Science, Vol. 7, Issue 5 · 9 May 2011 · 7,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Event-Based Methodology to Generate Class Diagrams and its Empirical EvaluationSandeep K. Singh, Sangeeta Sabharwal, J. P. GuptaProblem statement: Event-based systems have importance in many application domains ranging from real time monitoring systems in production, logistics, medical devices and networking to complex event processing in finance and security. The increasing popularity of Event-based systems has opened new challenging issues for them. One such issue is to carry out requirements analysis of event-based systems and build conceptual models. … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,626 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Packet Transmission Data over IP Networks Using Adaptive Neuro-Fuzzy Inference SystemsSamira Chabaa, Abdelouhab ZeroualProblem statement: The statistical modeling for predicting network traffic has now become a major tool used for network and is of significant interest in many domains: Adaptive application, congestion and admission control, wireless, network management and network anomalies. To comprehend the properties of IP-network traffic and system conditions, many kinds of reports based on measured network traffic data have been … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,533 accessesView PDFCite
Review ArticleOpen accessIn the abstractAutomatic Methods for Generation of Type-1 and Interval Type-2 Fuzzy Membership FunctionsAndréia Alves dos Santos Schwaab, Silvia Modesto Nassar, Paulo José de Freitas FilhoGeneration of membership functions is an important step in construction of fuzzy systems. Since membership functions reflect what is known about the variables involved in a problem, when they are correctly modeled the system will behave in the manner that is expected in the context of the problem being addressed. Since their creation, type-1 membership functions have been used in … …Journal of Computer Science, Vol. 11, Issue 9 · 20 Dec 2015 · 7,289 accessesView PDFCite
EditorialOpen accessIn the abstractRe-Paving the Road Built by Chemistry: A Challenge to Biochemistry and BiotechnologyAlberto A. IglesiasBiochemistry’s birth can be placed at the end of the nineteenth century, when Eduard Buchner made a clever interpretation of experimental observations on the generation of gas bubbles after addition (the original purpose was preservation) of sucrose to a yeast crude extract (Lagerkvist, 2005). Intelligently, Buchner concluded that the disaccharide had been fermented by broken cells’ suspension to produce CO2, … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 1 · 26 Jan 2015 · 7,461 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVING FAULT TOLERANT RESOURCE OPTIMIZED AWARE JOB SCHEDULING FOR GRID COMPUTINGK. Nirmala Devi, A. TamilarasiWorkflow brokers of existing Grid Scheduling Systems are lack of cooperation mechanism which causes inefficient schedules of application distributed resources and it also worsens the utilization of various resources including network bandwidth and computational cycles. Furthermore considering the literature, all of these existing brokering systems primarily evolved around models of centralized hierarchical or client/server. In such models, vital responsibility such … …Journal of Computer Science, Vol. 10, Issue 5 · 4 Jan 2014 · 6,896 accessesView PDFCite