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51 articles for “ARMA”
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Research ArticleOpen accessEvery word in the titleForecasting the Number of Monthly Active Facebook and Twitter Worldwide Users Using ARMA ModelQasem Abu Al-Haija, Qian Mao, Kamal Al NasrIn this study, an Auto-Regressive Moving Average (ARMA) Model with optimal order has been developed to estimate and forecast the short term future numbers of the monthly active Facebook and Twitter worldwide users. In order to pickup the optimal estimation order, we analyzed the model order vs. the corresponding model error in terms of final prediction error. The simulation results … …Journal of Computer Science, Vol. 15, Issue 4 · 19 Apr 2019 · 8,599 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSubset ARMA Model Identification for Monthly Electricity Consumption DataAmaal El Sayed Abd El Ghany MubarakSubset models can always be highly influential in series analysis, particularly when the data demonstrate a sort of form in periodic behavior with miscellaneous natural period's ranges, specifically; days, weeks, months and years. Subset models can also be effective as they let the number of parameters lower allowing only the really needed ones to be present in the model. Though … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 8 Mar 2019 · 7,140 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFunctional Characterization of Neutrophils from Nine-Banded Armadillos (Dasypus novemcicntus; Edentata, Dasypodidae) Infected with MicrofilariaeMarcela López-Hurtado, Fernando M. Guerra-InfanteThe neutrophils from uninfected armadillos have adequate phagocytic and bacteriocidal activity, but diminished chemotactic activity. However, endocytic activity from armadillo neutrophils infected with bacteria, parasites or viruses is unknown. This report shows that neutrophils from armadillos infected with microfilariae displayed deficiencies in their bacteriocidal mechanisms and TNF-like production, but not in their endocytic capacity. …American Journal of Animal and Veterinary Sciences, Vol. 1, Issue 1 · 30 Jun 2006 · 6,659 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBotulinum Toxin as a Novel Addition to Anti-Arthritis ArmamentariumHamid Namazi, Zahra MajdOsteoarthritis is the most common joint disease and is among the most frequent health problems for middle aged and older people. There is strong evidence that proinflammatory cytokines contribute to cartilage degradation in osteoarthritis. Interleukin-1 is the prototypical proinflammatory cytokine implicated in the pathogenesis of cartilage matrix degeneration. Results from studies in animal models provide stronger evidence implicating a role … …American Journal of Immunology, Vol. 1, Issue 2 · 30 Jun 2005 · 6,775 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPredicting Battery Charge Depletion in Wireless Sensor Networks Using Received Signal Strength IndicatorInacio Henrique Yano, Vitor ChavesDe Oliveira, Eric Alberto de Mello Fagotto et al.This article aims to identify an adequate mathematical model to predict battery power depletion at the nodes of a Wireless Sensor Network (WSN), by analyzing the Received Signal Strength Indicator (RSSI). Six general models were tested, the simplest Average model, Linear Regression model, Autoregressive (AR) models and Autoregressive Moving Average (ARMA) models.The selected model (AR) presented a low absolute mean … …Journal of Computer Science, Vol. 9, Issue 7 · 12 Jun 2013 · 7,239 accessesView PDFCite
Research ArticleOpen accessIn the keywordsParameters Estimate of Autoregressive Moving Average and Autoregressive Integrated Moving Average Models and Compare Their Ability for Inflow ForecastingMohammad Valipour, Mohammad Ebrahim Banihabib, Seyyed Mahmood Reza BehbahaniIn this study the ability of Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIMA) models in forecasting the monthly inflow of Dez dam reservoir located in Teleh Zang station in Dez dam upstream is estimated. ARIMA model has found a widespread application in many practical sciences. In addition, dam reservoir inflow forecasting is done by some methods such … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 30 Aug 2012 · 17,288 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplication of Neuro-Fuzzy Techniques for Solar RadiationW. A. Rahoma, U. Ali Rahoma, A. H. HassanProblem statement: The prediction is very useful in solar energy applications because it permits to estimate solar data for locations where measurements are not available. The developed artificial intelligence models predict the solar radiation time series more effectively compared to the conventional procedures based on the clearness index. Approach: The forecasting ability of some models could be further enhanced with … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 7,077 accessesView PDFCite
Research ArticleOpen accessIn the author namesHorizontal Cooperation Practices in Internet-based Higher Education, Computational Logistics and TelecommunicationsJesica de Arma, Thanasis Daradoumis, Anastasios A. Economides, Angel A. JuanGlobalization and advances in information and communication technologies have boosted the use of Horizontal Cooperation (HC) practices in many industry sectors. In the current international market, these ‘alliances’ become especially relevant for small and medium organizations, which are forced to compete with large-scale corporations. This paper analyzes benefits and challenges of HC practices in three service sectors that are critical … …Journal of Computer Science, Vol. 15, Issue 1 · 31 Jan 2019 · 7,421 accessesView PDFCite
Research ArticleOpen accessIn the author namesLSTM-Based AI Model for Sinkhole Attack Detection With Legal Basis in an Ecuadorian Public InstitutionEstefanía Alejandra Mora Parra, Rubén Nogales Portero, Moisés Toapanta T. et al.Wireless Sensor Networks (WSN) are an essential component of the Internet of Things (IoT). However, their decentralized nature, data transmission over unencrypted channels, and the physical exposure of nodes make them especially vulnerable to attacks, among which the sinkhole attack stands out. This research aims to develop a machine learning–based model to detect sinkhole‐type attacks in wireless sensor networks, with … …Journal of Computer Science, Vol. 22, Issue 3 · 4 Mar 2026 · 1,648 accessesView PDFCite
Research ArticleOpen accessIn the author namesAnalyzing Temperature-Dependent Thermal Properties of Biomaterials Using Machine Learning MethodsArmaghan Shalbaftabar, Kristen Rhinehardt, Dhananjay KumarThis research utilizes machine learning models ANN, Random Forest, and Decision Tree to predict material properties of Ti-based biomaterials, including Young’s modulus, density, thermal conductivity, and specific heat at various temperatures. Data was sourced using web scraping and Plot Digitizer, validated against literature, and analyzed in Excel. The ANN model achieved strong performance, with R² = 0.980874 for TiAl and … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 12 Sep 2025 · 4,634 accessesView PDFCite