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Research ArticleOpen accessIn the keywordsCredit Market Development and Economic Growth an Empirical Analysis for United KingdomAthanasios Vazakidis, Antonios AdamopoulosProblem statement: This study investigated the causal relationship between credit market development and economic growth for UK for the period 1975-2007 using a Vector Error Correction Model (VECM). Questions were raised whether economic growth spurs credit market development taking into account the negative effect of inflation rate on credit market development. This study aimed to investigate the short-run and the … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 29 Nov 2011 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCombined Heuristic Technique for Optimization of Bloom Filter in Spam FilteringArulanand Natarajan, S. Subramanian, K. PremalathaProblem statement: Spam is an irrelevant or inappropriate message sent on the internet to a large number of newsgroups or users. A spam word is a list of well-known words that often appear in spam mails. Bloom Filter (BF) is used for identification of spam word. Approach: BF is a simple but powerful data structure that can check membership to … …Journal of Computer Science, Vol. 7, Issue 9 · 27 Jul 2011 · 7,226 accessesView PDFCite
Research ArticleOpen accessIn the abstractOnline Handwritten Physics Expression Recognition Using a CRNN-LSTM ApproachUjwala Pritam Kolte, Sachin Arun NaikOptical Character Recognition (OCR) is crucial for identifying and extracting information from scientific documents. However, recognizing online handwritten physics expressions remains a relatively unexplored area of research. In the existing literature, most of the researchers worked on CNN classification to identify mathematical expressions. The traditional Convolution Neural Network (CNN) has limitations for extracting sequential data. This study proposes a CRNN … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,812 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term MemoryKampa Ratna Babu, Akula Suneetha, Kampa Kanthi KumarMultimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multimodal systems capture different aspects of human expression. However, accurately recognizing facial expressions across audio and video modalities causes challenges due to variations in expression representation. In this research, Parametric Exponential Linear Unit-Long Short-Term Memory … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 4,612 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation TechniqueUjwala Kolte, Sachin Naik, Vidya KumbharArtieres, T., Marukatat, S., & Gallinari, P. (2007). Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2), 205–217. https://doi.org/10.1109/tpami.2007.38 Baró, A., Riba, P., Calvo-Zaragoza, J., & Fornés, A. (2019). From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognition Letters, 123, 1–8. https://doi.org/10.1016/j.patrec.2019.02.029 Bresler, M., Prua, D., & Hlavác, … …Journal of Computer Science, Vol. 20, Issue 7 · 7 May 2024 · 6,278 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Medical Image Captioning with Soft Attention-Based LSTM Model Utilizing YOLOv4 AlgorithmPaspula Ravinder, Saravanan SrinivasanThe medical image captioning field is one of theprominent fields nowadays. The interpretation and captioning of medical imagescan be a time-consuming and costly process, often requiring expert support. Thegrowing volume of medical images makes it challenging for radiologists tohandle their workload alone. However, addressing the issues of high cost andtime can be achieved by automating the process of medical image … …Journal of Computer Science, Vol. 20, Issue 1 · 16 Dec 2023 · 6,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing DevOps Pipelines With Viral Spread Optimization and Hybrid Deep LearningDileepkumar S R, Juby MathewModern software teams rely on Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate testing and delivery. However, these pipelines often waste resources by running unnecessary tests and failing to predict which builds will fail. This study presents a new framework that addresses three key challenges: (1) deciding which tests to run first, (2) predicting which builds will fail, and … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessIn the abstractWest African Emerging Economies: Comparative Insights on Ghana’s and Nigeria’s Stock Market DevelopmentFisayo Fagbemi, John Oluwasegun AjibikeThe study examines the long-run and causal relationship between stock market development and West African emerging economies in a comparative context of Ghana and Nigeria. Based on Autoregressive Distributed Lag (ARDL) bounds test approach, the findings support the evidence of long-run cointegration between stock market development and economic growth in Ghana, whereas further evidence reveals an insignificant positive long-run impact … …American Journal of Economics and Business Administration, Vol. 14, Issue 1 · 2 Dec 2022 · 6,548 accessesView PDFCite
Research ArticleOpen accessIn the abstractLarvicidal Activity of Spondias purpurea (Sineguelas) Leaf and Hylocereus costaricensis (Dragon Fruit) Stem Extracts Against Aedes aegyptiAlfredo V. Corpuz, Nigell Mikhail A. Gallardo, Ace Danielle C. AveroThe study determined the larvicidal activity of the different concentrations of Spondias purpurea and Hylocereus costaricensis extracts by measuring percent mortality in Aedes aegypti larvae, a primary vector of dengue and other arboviral diseases. The hypothesis proposed that combining both extracts would yield greater larvicidal activity due to potential synergistic interactions. Ethanolic extraction was used to isolate a wide array … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 20 Nov 2025 · 2,417 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization-Based Feature Selection and Ensemble Machine Learning Algorithms for Breast Cancer ClassificationSatyabrata Patro, Jyotirmaya Mishra, Bhavani Sankar PandaBreast cancer, which originates in a woman's breast tissue, is acknowledged to be a significant study topic in the medical field. For a long time, there has been a serious concern with the classification of breast cancer. Thus, to effectively categorize the breast cancer dataset, machine learning methods are designed and implemented. In previous research, the algorithms have classification accuracy … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,172 accessesView PDFCite