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156 results for “Empirical analysis”
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Research ArticleOpen accessEvery word in the titleComparative Analysis of Neural Network Models for Predicting EUR/USD Direction: An Empirical StudyEl Badaoui Mohamed, Raouyane Brahim, El Moumen Samira, Bellafkih MostafaThis paper presents a rigorous comparative analysis of six feedforward neural network models for predicting the directional movement of the EUR/USD currency pair. The evaluated models include the Learning Vector Quantization, Cascade Neural Network, Feedforward Neural Network, Single Layer Perceptron, Multi-Layer Perceptron, and Radial Basis Function network. Utilizing daily historical data from April 2009 to May 2024, each model was … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,330 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTax Revenues and Economic Growth: An Empirical Investigation for Greece Using Causality AnalysisThomas Anastassiou, Chaido DritsakiThis study examines the relationship between tax revenues and the rate of economic growth for Greece. The viewpoint that the low ratio of direct to indirect taxation promotes high economic growth has been a main subject for discussion. However, not many papers have attempted to test the above hypothesis. One of the main problems that researchers are facing is the … …Journal of Social Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 8,342 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMacroeconomic Variables Analysis in Ukraine: An Empirical Approach with Cointegration MethodNikolaos Dritsakis, Katerina GialetakiThis study investigates the relationship among exports, economic growth, investments and employment in a former country of the Soviet Union such as Ukraine. The purpose of this study was to examine the long-run relationship between these variables using quarterly data for the period 1991:I-2000:IV and applying the cointegration analysis as suggested by Johansen and Juselious. Then a multivariate autoregressive vector … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,706 accessesView PDFCite
Research ArticleOpen accessIn the keywordsForecasting the Stock Exchange of Thailand uses Day of the Week Effect and Markov Regime Switching GARCHP. Sattayatham, N. Sopipan, B. PremanodeProblem statement: We forecast return and volatility of the Stock Exchange of Thailand (SET) Index. Approach: In this study, we modeled the SET Index returns using mean equation with day of the week effect and autoregressive moving-average. Next we forecast the volatility of the SET Index by using the GARCH-type model and the Markov Regime Switching GARCH (MRS-GARCH) model. Results: … …American Journal of Economics and Business Administration, Vol. 4, Issue 1 · 15 Mar 2012 · 7,865 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBanking Efficiency in Lebanon: An Empirical InvestigationMouataz Zreika, Nasser ElkanjProblem statement: The main goal behind this study is to identify whether banks are working at full efficiency or not and spot the changes in efficiency for banks operating in Lebanon after 2007 financial crisis. Approach: This study was conducted to examine the technical efficiency of 40 banks operating in Lebanon over the two sub-periods 2002-2006 and 2006-2009 using Data … …Journal of Social Sciences, Vol. 7, Issue 2 · 12 Feb 2011 · 8,297 accessesView PDFCite
Research ArticleOpen accessIn the abstractBERT-Based Temporal Sentiment Analysis of Saudi Tourism EventsAhmed AlharbiThis study applies a BERT-based temporal sentiment analysis framework to examine English-language social media discourse surrounding major tourism and sporting events hosted in Saudi Arabia. A dataset of 10,000 tweets collected between December 2023 and December 2024, including discussions related to the FIFA Club World Cup, Formula 1 Saudi Arabian Grand Prix, and other major Saudi-hosted sporting events, was analyzed … …Journal of Computer Science, Vol. 22, Issue 9 · 19 Sep 2026 · 568 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Five Decomposition Techniques for Monthly Rainfall Time Series from 1991 to 2020 in Guinea (West Africa)Noukpo Médard Agbazo, Oumar Keita, Alpha Oumar Baldé et al.The selection of an optimal time series decomposition’ technique is crucial for enhancing rainfall prediction by using sophisticated methods as deep learning hybrid approaches. This study evaluates the effectiveness of five times series decomposition techniques in analyzing monthly rainfall datasets across Guinea geographical regions (Lower-Guinea (Boké, Conakry, Kindia), Middle-Guinea (Labé, Mamou), Upper-Guinea (Faranah, Kankan) and Forest-Guinea (Nzérékoré)) and identifies the … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 27 Jan 2026 · 3,040 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpileptic Seizure Detection Using Integrated Decomposed Features from EEG SignalShupta Das, Suraiya Akter Mumu, M. A. H. Akhand, Md Abdus Samad KamalThe root cause of the seizure is a sudden abnormal excessive electrical discharge in the brain and it is an Epileptic Seizure (ES) when such abnormal electrical activity arises particularly for epilepsy. Recognizing ES is crucial for effective treatment as it often repeats and can lead to serious outcomes. Since epilepsy is a neurological issue, detecting ES by analyzing brain … …Journal of Computer Science, Vol. 20, Issue 10 · 8 Aug 2024 · 4,845 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersistent Misconceptions in Algebra: A Critical Analysis of Errors with Implications for Teaching and Further ResearchGurudeo Anand Tularam, Omar Moalin HassanThis study explores the persistent challenges students face in learning algebra, with a focus on prevalent errors observed in secondary education worldwide. This study highlights the complex interplay between conceptual and procedural knowledge in algebraic reasoning through a comprehensive review of theoretical frameworks and empirical studies by influential scholars such as Kieran, Shard, Booth and Koedinger. As students transition from … …Journal of Social Sciences, Vol. 21, Issue 1 · 22 Mar 2025 · 10,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Based Feature Extraction Approaches for Dual Modalities of Autism Spectrum Disorder NeuroimagesMeenakshi Malviya, Chandra J, Nagendra NHigh-dimensional data, lower detection accuracy, susceptibility to manual errors, and the requirement of clinical experts are some drawbacks of conventional classification models available for Autism Spectrum Disorder (ASD) detection. To address these challenges and explore the affiliated information from advanced imaging modalities such as Magnetic Resonance Imaging (MRI) in structural MRI (sMRI) and resting state-functional MRI (rs-fMRI), the study applied … …Journal of Computer Science, Vol. 20, Issue 11 · 28 Sep 2024 · 5,087 accessesView PDFCite