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152 results for “Time Series Data”
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Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermal Comfort Assessment: A Case Study at Malaysian Automotive IndustryA. R. Ismail, N. Jusoh, R. Zulkifli et al.Problem statement: Thermal comfort has a great influence on the productivity and satisfaction of indoor building occupants. The exposure to excessive heat during work may cause discomfort and contributed to low productivity among workers. Malaysia known with its hot and humid weather where in most of the survey study published indicated that workers in Malaysia automotive industries had exposed to … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractFinancial Development and Economic Growth An Empirical Analysis for GreeceAthanasios Vazakidis, Antonios AdamopoulosProblem statement: This study investigated the causal relationship between financial development and economic growth for Greece for the period 1978-2007 using a Vector Error Correction Model (VECM). Questions were raised whether financial development causes economic growth or reversely taking into account the positive effect of industrial production index. Financial market development is estimated by the effect of credit market development … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 7,749 accessesView PDFCite
Research ArticleOpen accessIn the abstractActive Fire Monitoring with Level 1.5 MSG Satellite ImagesAbdelatif Hassini, Farid Benabdelouahed, Noureddine Benabadji, Ahmed Hafid BelbachirThe first of the new generation of Meteosat satellites, known as Meteosat Second Generation (MSG-1), was launched in August 2002. As with the current Meteosat series, MSG is spin-stabilized and capable of greatly enhanced Earth observations. The satellite’s 12-channel imager, known formally as the Spinning Enhanced Visible and Infrared Imager (SEVIRI), observes the full disk of the Earth with an … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 8,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrade-GDP Nexus in Iran: An Application of the Autoregressive Distributed Lag (ARDL) ModelMosayeb Pahlavani, Ed Wilson, Andrew C. WorthingtonThis study employed annual time series data (1960-2003) and unit root tests with multiple breaks to determine the most likely times of structural breaks in major factors impacting on the trade-GDP nexus in Iran We found, inter alia, that the endogenously determined structural breaks coincided with important events in the Iranian economy, including the 1979 Islamic revolution and the outbreak … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 8,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractWind Speed Simulation Using WaveletsA. H. Siddiqi, S. Khan, S. RehmanMost of the renewable energy sources have direct or indirect link with the sun. Wind is also a form of solar energy. It is initiated by uneven heating of the atmospheric air by the sun, affected from the topography and surface roughness of the earth's surface and rotation of the earth. The earth's terrain, water surfaces and vegetation cover modifies … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,546 accessesView PDFCite
Research ArticleOpen accessIn the abstractSPLINE ACTIVATED NEURAL NETWORK FOR CLASSIFYING CARDIAC ARRHYTHMIAY. S. Kumaraswamy, R. Ganesh KumarElectro Cardiogram’s (ECG) biomedical signals characterizing cardiac anomalies are used for identifying cardiac arrhythmia. Irregular heartbeat-Arrhythmia-affects heart rate causing problems. Many methods, trying to simplify arrhythmia monitoring through automated detection, were developed over the years. ECG classification for arrhythmia is investigated in this paper based on soft computing techniques. RR interval are extracted from time series of the ECG and … …Journal of Computer Science, Vol. 10, Issue 8 · 9 Apr 2014 · 6,968 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETERIORATING DISTRIBUTED DENIAL OF SERVICE ATTACK BY RECOVERING ZOMBIES USING PENALTY SCHEMEJ. Udhayan, M. Rajesh BabuResource of victim impounded by DDoS attack leads the victim to series monetary loss apart from various other ill-effects. Already lot of solutions came up in technological aspects almost neglecting the economical aspects. Hence there is not yet a proper method to make the zombies accountable to the economical loss materialized as the effects of highly zombie oriented DDoS attacks. … …Journal of Computer Science, Vol. 9, Issue 11 · 9 Oct 2013 · 6,699 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordTime 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 · 1,891 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMachine Learning Approaches for the Prediction of Gas Turbine TransientsArnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi et al.Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve the reliability and availability of GTs by developing predictive maintenance systems that are able to predict future conditions of GTs within a certain time. Predicting such situations … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 7,660 accessesView PDFCite