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Research ArticleOpen accessEvery word in the titleDimensionality Reduction using Principal Component Analysis for Cancer Detection based on Microarray Data ClassificationAdiwijaya, Untari N. Wisesty, E. Lisnawati et al.Cancer is one of the most deadly diseases in the world. The International Agency for Research on Cancer (IARC) noted 14.1 million new cancer cases and 8.2 million deaths from cancer in 2012. In the last few years, DNA microarray technology has increasingly been used to analyze and diagnose cancer. Analysis of gene expression data in the form of microarray … …Journal of Computer Science, Vol. 14, Issue 11 · 15 Nov 2018 · 9,930 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleNew Researches Examines the Wing Shapes to Reduce Vortex and WakeNicolae Petrescu, Raffaella Aversa, Antonio Apicella, Florian Ion Tiberiu PetrescuIt is common to see clouds in the form of the sky, known as contrails, which are behind the engines of a reaction plan. What is not always visible is a wind whirl that comes out of the top of each wing - like two small horizontal tornadoes - leaving behind a turbulent awakening behind the vehicle. Awakening is a … …Journal of Aircraft and Spacecraft Technology, Vol. 2, Issue 1 · 19 Jun 2018 · 7,416 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Effect of Packet Redundancy Elimination Technique in Sensor NetworksDeepa Priya, Sharmini EnochA lot of sensor nodes which are able to sense, process and communicate with external base station with the data obtained from external environment belong to a class of adhoc networks called wireless sensor networks. The main challenge in sensor network is to increase the life time of the network thereby reducing duplicate by detecting the redundant information. While the … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Feb 2018 · 7,878 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Methodology for Neural Network Training Ensures Error Reduction in Time Series ForecastingPaola A. Sánchez-Sánchez, José Rafael García-GonzálezArtificial Neural Networks (ANN) consists of some components, such as architecture and learning algorithm. These components have a significant effect on the performance of the ANN, but finding good parameters is a difficult task to achieve. An important requirement for this task is to ensure the reduction of error when inputs and/or hidden neurons are added. In practice, it is … …Journal of Computer Science, Vol. 13, Issue 7 · 4 Jul 2017 · 7,171 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Assessment of GHGs Reduction Potential from Bio-Electricity Generation: Agricultural Waste-to-Energy Project in Thailand as a Case StudyKittipongvises Suthirat, Polprasert ChongrakDriven by concerns of energy security and global climate change, this study aimed to investigate the potential of greenhouse gases (GHGs) emissions reduction from bio-electricity project in Thailand. A cogeneration plant in which deploying biomass residues from sugar cane production was selected as a case study. By considering the ACM0006 method, namely “Consolidated methodology for electricity and heat generation from … …American Journal of Environmental Sciences, Vol. 12, Issue 4 · 17 Aug 2016 · 7,212 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHydrothermal Synthesis of CuWO4-Reduced Graphene Oxide Hybrids and Supercapacitor ApplicationKoyal Suman Samantaray, Surjit Sahoo, Chandra Sekhar RoutThis study reports a facile hydrothermal synthesis of Copper tungsten oxide (CuWO4) and CuWO4-reduced graphene oxide hybrid nanoparticles and its application as an electrode for supercapacitor application. The morphology and composition has been characterized using X-Ray Diffraction (XRD), Field Emission Scanning Electron Microscopy (FESEM) and EDAX. The supercapacitive behavior has been studied from cyclic voltammetry and galvanostatic charge-discharge tests. The … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 12 Aug 2016 · 9,554 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApproximate Series Solution of Nonlinear, Fractional Klein-Gordon Equations Using Fractional Reduced Differential Transform MethodEman Abuteen, Asad Freihat, Mohammed Al-Smadi et al.This analysis proposes an analytical-numerical approach for providing solutions of a class of nonlinear fractional Klein-Gordon equation subjected to appropriate initial conditions in Caputo sense by using the Fractional Reduced Differential Transform Method (FRDTM). This technique provides the solutions very accurately and efficiently in convergent series formula with easily computable coefficients. The behavior of the approximate series solution for different … …Journal of Mathematics and Statistics, Vol. 12, Issue 1 · 26 Mar 2016 · 7,901 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePreparedness in Implementing Action Plan for Reducing GHGs: The Case of Central JavaAgung SugiriThe Regional Action Plan for Reducing Greenhouse Gas Emissions (RAD-GRK) of Central Java Province 2020 was completed in 2012. This paper assesses the preparedness of the Central Java Provincial Government (CJPG) to implement the plan and identifies measures needed to ensure successful implementation based on the stakeholders' perceptions. In-depth interviews with key CJPG officials and a workshop with the extended … …American Journal of Environmental Sciences, Vol. 11, Issue 1 · 2 Apr 2015 · 8,097 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA GENETIC ALGORITHM FOR A SIMULTANEOUS OPTIMISATION OF COST-RISK REDUCTION UNDER A JUST-IN-TIME ADAPTIONFaraj El Dabee, Romeo Marian, Yousef AmerJust-In-Time (JIT) as a lean manufacturing approach plays a significant role in minimising costs and performances of products and services supplied to the global marketplace. However, there are many potential risks that cause significant disruptions to all supply chain members. This study proposes a genetic approach for optimising a novel mathematical model for simultaneously minimising the total cost of a … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Dec 2014 · 7,692 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAN EFFICIENT AND VARIABLE INTERVAL REKEYING FOR DYNAMIC AD HOC MULTICAST GROUP USING KEY PATH REDUCTIONR. Pugalenthi, T. V. GopalKey distribution is one of the major issues in secure ad hoc multicast group communication. There has been an extensive research on rekeying, to reduce cost. In this study, we propose an efficient and scalable batch rekeying for dynamic ad hoc multicast group, with variable interval and key path reduction techniques. The proposed scheme overcomes the major existing issues like … …Journal of Computer Science, Vol. 10, Issue 7 · 16 Jun 2014 · 6,712 accessesView PDFCite