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Research ArticleOpen accessEvery word in the titleTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,900 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOne Real-Time Fluorescent Loop-Mediated Isothermal Amplification Combined with Propidium Monoazide for Detection of Viable Vibrio Parahaemolyticus in SeafoodHuanteng Yu, Jiehong Fang, Biao Ma et al.Vibrio parahaemolyticus is one of the crucial foodborne pathogens in the world. At present, the rapid detection methods for V. parahaemolyticus cannot distinguish between dead and viable cells and false positive results may occur. In this study, one rapid and accurate method that combines Propidium Monoazide (PMA) with real-time fluorescent loop-mediated isothermal ampli?cation (LAMP) using SYTO-16 dye was developed to … …American Journal of Biochemistry and Biotechnology, Vol. 15, Issue 2 · 26 Jun 2019 · 7,593 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSecondary User Sensing Time Optimization in Sensing-Transmission Scheduling for Dynamic Spectrum Access in Cognitive RadioInderdeep Kaur Aulakh, Renu VigThe constraint of limited frequency spectrum for wireless communication is very daunting. The radio spectrum licensed to permanent users is wasted at times when not used continuously. Cognitive radio technology involves a change in regulation of radio spectrum. In cognitive radio networks a secondary user network is designed for efficiently using gaps in spectrum and not causing at the same … …Journal of Computer Science, Vol. 11, Issue 8 · 5 Nov 2015 · 7,349 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIMPROVED REAL-TIME FACE RECOGNITION BASED ON THREE LEVEL WAVELET DECOMPOSITION-PRINCIPAL COMPONENT ANALYSIS AND MAHALANOBIS DISTANCEEdy Winarno, Agus Harjoko, Aniati Murni Arymurthy, Edi WinarkoThe development of research in the field of real-time face recognition is a study that is being developed in the last decade. Face recognition is used to identify person from an image or video. Recognition rate and computation time of real-time face recognition is one of the big challenges that must be developed. This study proposes a model of face … …Journal of Computer Science, Vol. 10, Issue 5 · 17 Jan 2014 · 8,022 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBayesian 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 · 6,662 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSeasonal Autoregressive Integrated Moving Average Model for Precipitation Time SeriesYan Wang, Xinghua Chang, Meng Gao, Xiyong HouPredicting the trend of precipitation is a difficult task in meteorology and environmental sciences. Statistical approaches from time series analysis provide an alternative way for precipitation prediction. The ARIMA model incorporating seasonal characteristics, which is referred to as seasonal ARIMA model was presented. The time series data is the monthly precipitation data in Yantai, China and the period is from … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 20 Feb 2013 · 12,662 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInvestigating the Critical Clearing Time of Power System with the Exact Medium Transmission Line ModelPrechanon KumkratugProblem statement: The exact medium transmission line model consists of the resistance, series reactance and shunt capacitance. Most of previous research studies show the critical clearing time of single machine infinite bus while neglecting the resistance and capacitance of the line. Approach: This study investigates the critical clearing time of power system with consideration the exact medium transmission line mode. … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 23 Jan 2012 · 7,420 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving Computation Power by Reducing Query Response Time in Peer-to-Peer EnvironmentVelvizhi Nandagopal, D. ManjulaProblem statement: The Peer-to-Peer (P2P) was an emerging model and was being widely adopted in today’s internet computing.P2P traffic contributes the largest portion of the internet traffic which was unnecessary and led to delay. In existing Scalable Bipartite Overlay (SBO) network, Out of “N” peers, one group of peers were probing the messages (or) queries whereas the other group of … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 6,601 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTime Series Analysis Model for Rainfall Data in Jordan: Case Study for Using Time Series AnalysisP.E. Naill M. MomaniProblem statement: Time series analysis and forecasting has become a major tool in different applications in hydrology and environmental management fields. Among the most effective approaches for analyzing time series data is the model introduced by Box and Jenkins, ARIMA (Autoregressive Integrated Moving Average). Approach: In this study we used Box-Jenkins methodology to build ARIMA model for monthly rainfall data … …American Journal of Environmental Sciences, Vol. 5, Issue 5 · 31 Oct 2009 · 8,817 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrayer Times Modeling with GIS: A Case Study for Iran and Its SurroundingH. Aghighi, A. Alimohammadi, M. S. GhaharehTraditionally, the time of Prayer was being announced through mosques. Nowadays, there's a special time in cities of Muslim countries, known as prayer times table. Mean while villages lack such division or table, they use the Prayer times of nearby cities. In non-muslim countries, such tables just belong to big cities and other areas have difficulties to find (precise) prayer … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 7,686 accessesView PDFCite