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259 articles for “Time series”
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Research ArticleOpen accessPhrase in the titleIDENTIFICATION OF PERIODIC AUTOREGRESSIVE MOVING-AVERAGE TIME SERIES MODELS WITH RHazem I. El Shekh Ahmed, Raid B. Salha, Diab I. AL-AwarPeriodic autoregressive moving average PARMA process extend the classical autoregressive moving average ARMA process by allowing the parameters to vary with seasons. Model identification is the identification of a possible model based on an available realization, i.e., determining the type of the model with appropriate orders. The Periodic Autocorrelation Function (PeACF) and the Periodic Partial Autocorrelation Function (PePACF) serve as … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 15 Sep 2014 · 12,914 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMULTI SCALE TIME SERIES PREDICTION FOR INTRUSION DETECTIONG. Palanivel, K. DuraiswamyWe propose an anomaly-based network intrusion detection system, which analyzes traffic features to detect anomalies. The proposed system can be used both in online as well as off-line mode for detecting deviations from the expected behavior. Although our approach uses network packet or flow data, it is general enough to be adaptable for use with any other network variable, which … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 27 Jun 2014 · 6,781 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleTIME SERIES MODELING OF MONTHLY RAINFALL IN ARID AREAS: CASE STUDY FOR SAUDI ARABIANidhal SaadaStochastic techniques are essential in planning and management of water resources systems especially in arid and semi-arid areas where water is scarce. The forecasting of future events requires identifying proper stochastic models to be used in this process. For this purpose, a Periodic ARMA (PARMA) model and a temporal disaggregation models were used in this study to investigate weather they … …American Journal of Environmental Sciences, Vol. 10, Issue 3 · 3 May 2014 · 7,207 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTime-series Evidence for Export-led Growth Paradigm: A Case Study of ZimbabweCyril A. OgbokorThe study addresses empirically the Export-led Growth Hypothesis (ELGH) using Zimbabwe as a case study. This research work attempts to provide some evidence in this regard by examining the influence of trade on economic growth in the economy and ascertaining if the regressors utilised are good predictors of growth. Ordinary Least Squares (OLS) method is resorted in order to estimate … …Journal of Social Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 7,459 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModeling Pan Evaporation for Kuwait using Multiple Linear Regression and Time-Series TechniquesJaber AlmedeijThis study attempts to model evaporation for Kuwait under arid conditions by using a wide range of monthly evaporation data, varying from 0.1 to 40 mm/day, from January 1993 to July 2015. Owing to the reason that the well-known theoretical evaporation models presented in the literature have been justified for a much shorter data range, the paper adopts empirical approaches … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 8 Jun 2016 · 7,092 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Critical Clearing Time of Power System Equipped With a Series FACT DevicesPrechanon KumkratugProblem statement: The critical clearing time provides very important role of the robustness in power system. The Static Synchronous Series Compensator (SSSC) has been accepted to be equipped in series with modern power system. This study presents the method to evaluate the Critical Clearing Time (CCT) of the system equipped with a SSSC. Approach: The parameter on SSSC is modeled … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 6,782 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInvestigation of Vegetation Dynamics using Long-Term Normalized Difference Vegetation Index Time-SeriesTamara Bellone, Piero Boccardo, Francesca PerezProblem statement: The Normalized Difference Vegetation Index (NDVI) is the most extensively used satellite-derived index of vegetation health and density. Since climate is one of the most important factors affecting vegetation condition, satellite-derived vegetation indexes have been often used to evaluate climatic and environmental changes at regional and global scale. The proposed study attempted to investigate the temporal vegetation dynamics … …American Journal of Environmental Sciences, Vol. 5, Issue 4 · 31 Aug 2009 · 7,406 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalytical Solution of Temperature Field in Hollow Cylinder under Time Dependent Boundary Condition Using Fourier seriesGolamali atefi, Mohammad Ali Abdous, Abdolsaeid GanjehkaviriThe objective of this study is to derive an analytical solution of one dimensional heat conduction equation applied in a hollow cylinder, which is subjected to a periodic boundary condition at the outer surface while the inner surface is insulated. The material is assumed to be homogenous and isotropic with time-independent thermal properties. Because of the time-dependent term in the … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2008 · 7,538 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,266 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSales Forecasting Models: Comparison between ARIMA, LSTM and ProphetDmitry BrykinSales forecasting is crucial for business planning and resource allocation. Data-driven approaches have become popular in this field. This study compares the performance of three forecasting models: Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM) and Prophet within the context of specific sales categories derived from acquiring data provided by a bank. This study uses a time series dataset … …Journal of Computer Science, Vol. 20, Issue 10 · 1 Aug 2024 · 8,006 accessesView PDFCite