Research ArticleOpen accessIn the abstractHydrological Forecasting Using Hybrid Data-Driven ApproachYoungmin Seo, Sungwon KimThis study develops a hybrid model, EEMD-FANN, coupling feed Forward Artificial Neural Network (FANN) and Ensemble Empirical Mode Decomposition (EEMD) for improving the accuracy of daily river stage forecasting. An original river stage data is broken down into a residue and Intrinsic Mode Functions (IMFs) using the EEMD and different FANNs are developed as forecasting models for the decomposed IMFs … …American Journal of Applied Sciences, Vol. 13, Issue 8 · 2 Sep 2016 · 8,136 accessesView PDFCite
Research ArticleOpen accessIn the abstractFood Security Forecast within the Framework of Mankind Survival Strategy Concept in the Twenty-First CenturyOrazaly Sabden, Abdumalik AshirovThe present article justifies the necessity of improving the food security planning within the framework of implementing the millennium development goals. In this regard, the study develops a brand new approach in the theory of methodology for assessing and monitoring the global food security, aimed at forecasting quantitative scenarios of its development. A distinctive advantage of this approach is the … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 28 Jan 2016 · 7,944 accessesView PDFCite
Research ArticleOpen accessIn the abstractService-Learning in a Managerial Accounting Course: Developing the ‘Soft’ SkillsVictoria Calvert, Rafik KurjiProblem statement: This study explores the impact of a service-learning project embedded in a managerial accounting course through the lens of students’ technical, professional and personal development. Academic institutions and Business Schools in particular, are often criticized for producing graduates who are technically capable but lack the capability for teamwork, effective workplace communication and the ability to react effectively in … …American Journal of Economics and Business Administration, Vol. 4, Issue 1 · 3 Jan 2012 · 8,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling and Forecasting Volatility of the Malaysian Stock MarketsAhmed Shamiri, Zaidi IsaProblem statement: One of the main purposes of modeling variance is forecasting, which is crucial in many areas of finance. Despite the burgeoning interest in and evaluation of volatility forecasts, a clear consensus on witch volatility model/or distribution specification to use has not yet been reached. Therefore, the out of-sample forecasting ability should be a natural model selection criterion for … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 7,900 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPredicting CO2 Emissions Using Multivariate Regression: Assessing the Impact of Pandemics and Industrial RevolutionsYoussef Mekki, Chouaib Moujahdi, Noureddine Assad, Aziz DahbiThis paper explores the prediction of CO2 emissions usingMultivariate Regression models, incorporating the influence of significanthistorical events such as pandemics and industrial revolutions. Whileexisting research primarily focuses on carbon emissions alone in forecastingmodels, this study emphasizes the importance of incorporating multiplefactors for a comprehensive understanding of CO2 dynamics. Beyondemissions, factors such as socioeconomic indicators, industrial activities,environmental policies, and historical events … …Journal of Computer Science, Vol. 21, Issue 7 · 23 Jul 2025 · 3,426 accessesView PDFCite