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614 results for “Selection”
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Research ArticleOpen accessIn the abstractA Developed Uncapacitated Scheduling Algorithm of Building Timetables for Different Exam KindsHussein Al Bazar, Hussein Abdel-JaberScheduling many exams into different timeslots and rooms while meeting all given requirements is a difficult task, which requires designing and proposing a scheduling algorithm to deal with the issue of timetabling examination. This paper proposes a scheduling algorithm for tackling such an issue. The proposed scheduling algorithm generates a satisfactory timetable of different module exams derived from different faculties … …Journal of Computer Science, Vol. 16, Issue 8 · 22 Aug 2020 · 6,795 accessesView PDFCite
Literature ReviewOpen accessIn the abstractOnline Traffic Measurement and Analysis in Big Data: Comparative Research ReviewLena T. Ibrahim, Rosilah Hassan, Kamsuriah Ahmad et al.The Internet traffic measurement and analysis is important to avoid many problems of data transferring via online networks such as data losing and slow data transferring. The Internet traffic measuring and analysis could be effective to avoid the data transferring challenges. The Internet traffic measuring and analysis flexibility is important due to many reasons such as dynamicity of transferred data … …American Journal of Applied Sciences, Vol. 13, Issue 4 · 27 Apr 2016 · 7,711 accessesView PDFCite
Research ArticleOpen accessIn the abstractBRASSINOSTEROIDS IN BREEDING TECHNOLOGIES HEALTHCARE POTATONatalia Nikolaevna Koposova, Olga Veniaminovna Shtyrlina, Irina Pavlovna Uromova et al.The regulator of anti-stress action Epin-Extra (24-epibrassinolide) was tested in laboratory and field (protected ground) conditions. The aim of this research was to study the influence of growth regulators on the growth, development and productivity of improved initial promising varieties of potato: Native (cultivated varieties Udacha) and foreign (cultivated varieties Red Scarlett) selections obtained by the method of apical meristem … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 3 · 28 Aug 2014 · 7,322 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Models for Time Series with Covariates, Trend, Seasonality, Autoregression and OutliersPitsanu Tongkhow, Nantachai KantananthaBayesian methods furnish an attractive approach to time series data analysis. This article proposes the forecasting models that can detect trend, seasonality, auto regression and outliers in time series data related to some covariates. Cumulative Weibull distribution functions for trend, dummy variables for seasonality, binary selections for outliers and latent autoregression for autocorrelated time series data are used for the … …Journal of Computer Science, Vol. 9, Issue 3 · 16 Apr 2013 · 6,653 accessesView PDFCite