Research ArticleOpen accessIn the abstractStock Market Development and Economic GrowthAthanasios Vazakidis, Antonios AdamopoulosProblem statement: This study investigated the causal relationship between stock market development and economic growth for France for the period 1965-2007 using a Vector Error Correction Model (VECM). Questions were raised whether stock market development causes economic growth or reversely taking into account the negative effect of interest rate. Stock market development is estimated by the general stock market index. … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 8,364 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Bound Test Approach to Cointegration of Tourism DemandFateh Habibi, Khalid Abdul RahimProblem statement: Given the high contribution of tourism industry in the Malaysian economy, Malaysia has a vast view to increase its market share of the international tourist arrivals in the Asia Pacific region. Therefore, this study attempts to investigate the long run and short run demand for tourism from top ten markets (country). Approach: To accomplish this objective the ARDL … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 7,223 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 · 7,752 accessesView PDFCite
Research ArticleOpen accessIn the abstractFace Recognition Based on Nonlinear Feature ApproachEimad E.A. Abusham, Andrew T.B. Jin, Wong E. Kiong, G. DebashisFeature extraction techniques are widely used to reduce the complexity high dimensional data. Nonlinear feature extraction via Locally Linear Embedding (LLE) has attracted much attention due to their high performance. In this paper, we proposed a novel approach for face recognition to address the challenging task of recognition using integration of nonlinear dimensional reduction Locally Linear Embedding integrated with Local … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractBreaking out: The Dynamics of Immigrant Owned BusinessesShahamak RezaeiAs far as integration policy in a Danish context is concerned a phenomenon have been observed during the last decade: Immigrant businesses are spreading rapidly in the country, dominating certain business lines in deprived inner city areas. According to registry and survey data, most immigrant businesses - and particularly those owned by immigrants from less developed countries in Asia, the … …Journal of Social Sciences, Vol. 3, Issue 2 · 30 Jun 2007 · 7,464 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntegration of Local Large Language Models, Retrieval-Augmented Generation, and Adaptive LearningAnass Belcaid, Kamal ReklaouiIn recent years, many schools and teachers have started using closed Large Language Models (LLMs) to help with learning. These tools can be very helpful for tutoring and personal learning, but they also bring serious problems. One big issue is that they use cloud systems, which means student data is sent to outside servers. This can put privacy at risk … …Journal of Computer Science, Vol. 22, Issue 4 · 26 Mar 2026 · 3,936 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordNovel Depression Classification Framework Using Optimal Feature Integration with Hybrid Convolution (1D/3D) Based Adaptive Residual DenseNetB. Manjulatha, Suresh PabbojuThis study introduces a novel depression classification method by incorporating multimodal data to reduce this limitation and improve the accuracy of depression diagnosis. In the beginning, the multimodal data such as speech signal, Electroencephalographic (EEG), and text data is obtained from the benchmark datasets. These acquired text data are subjected to the text pre-processing phase, where the stemming, character removal, … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 5,869 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhancing Indoor Asset Tracking: IoT Integration and Machine Learning Approaches for Optimized PerformanceRafiq Hamadamin Maulud, Sadegh Abdollah AminifarIndoor asset tracking entails the surveillance and governance of the position and movement of tangible assets within enclosed spaces, including warehouses, hospitals, and workplaces. Indoor asset tracking systems employ technologies such as Radio Frequency Identification (RFID), Bluetooth Low Energy (BLE), Wi-Fi, and UWB (Ultra-Wideband) to deliver real-time visibility and precise placement of goods. This research introduces indoor asset tracking with … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,742 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,479 accessesView PDFCite