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Research ArticleOpen accessIn the abstractRecognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning ModelMeryem Cherrate, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah AarabRecognizing gestures in American Sign Language (ASL) from video data presents significant challenges due to the intricate combination of hand gestures, facial cues, and body motion. In this work, we introduce a hybrid deep learning framework that integrates Convolutional Neural Networks (CNNs) for extracting spatial characteristics with Long Short-Term Memory (LSTM) networks for capturing temporal sequences. The model was trained … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,048 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeasibility Analysis of Non-Preemptive Periodic Systems from Infeasibility PerspectiveNasro Min-AllahDue to simple implementation, non-preemptive scheduling has the advantage over preemptive counterpart when it comes to deployment of real-time systems. Accordingly, many feasibility techniques have been established to answer schedulability of the task set for non-preemptive case. The time complexity of exact condition for non-preemptive under dynamic priority assignment is of pseud-polynomial nature. Recently, efforts are made to decrease the … …Journal of Computer Science, Vol. 15, Issue 9 · 9 Sep 2019 · 7,617 accessesView PDFCite
Research ArticleOpen accessIn the abstractGovernment Expenditure and School Efficiency and Productivity Change: A Case of Public Primary Schools in KenyaMutinda Mutuku, Julius Korir, Dianah Ngui-MuchaiEducation management is a more labor intensive process previously measured by level of school enrolment and education quality with low or no concern on productivity and efficient resource utilization. Trends in increasing government allocation to education sector demonstrate a positive impact on enrolment, education quality and efficiency levels determined in the study. However, there was a gap on how government … …Journal of Social Sciences, Vol. 15, Issue 1 · 17 Apr 2019 · 8,446 accessesView PDFCite
Research ArticleOpen accessIn the abstractBeatbox Classification to Distinguish User Experiences Using Machine Learning ApproachesJason Martanto, Iman Herwidiana KartowisastroResearch regarding beatbox classification has generated a relatively significant growth in the past decade. Although the differences between contributors’ expertise within a vocal percussion dataset have been mentioned in previous works, the impact of those discrepancies has not been thoroughly investigated. In this study, the authors explore performances of machine learning algorithms for beatbox classification, with an emphasis on prior … …Journal of Computer Science, Vol. 21, Issue 4 · 18 Mar 2025 · 5,208 accessesView PDFCite
Research ArticleOpen accessIn the abstractMetabolic Potential Versus Genome SizeAtanas Todorov Atanasov, Dimitar Todorov ValevAlberch, P. (1983). Development and Evolution: Embryos, Genes, and Evolution. The Developmental-Genetic Basis of Evolutionary Change. Science, 221(4607), 257–258. https://doi.org/10.1126/science.221.4607.257 Andrews, C. B., Mackenzie, S. A., & Gregory, T. R. (2009). Genome size and wing parameters in passerine birds. Proceedings of the Royal Society B, 276(1654), 55–61. https://doi.org/10.1098/rspb.2008.1012 Atanasov, A. T. (2005). The linear alometric relationship between total metabolic energy … …Physics International, Vol. 13, Issue 1 · 15 Jun 2022 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Coordination and Communication in Distributed Software Development through Context-Based Software Artifacts Awareness: A Controlled ExperimentRafael Leonardo Vivian, Elisa Hatsue Moriya Huzita, Renato Balancieri et al.Distributed Software Development (DSD) has brought many competitive advantages, such as increased productivity, improved product quality and cost reduction. However, the geographic and temporal distances and sociocultural differences between distributed teams, expanded some challenges and, above all, added new requirements with regard to communication and coordination. This scenario has influenced on the software artifacts that are produced and/or modified, because … …Journal of Computer Science, Vol. 14, Issue 11 · 15 Nov 2018 · 7,158 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Ceramo-Polymeric Nano-Diamond CompositesAntonio Apicella, Raffaella Aversa, Florian Ion Tiberiu PetrescuThis paper discusses a new class of bio-mechanical scaffolds active for tissue engineering based on a nano-diamond-filled hydrophilic polymer matrix. The new biomaterials used have special mechanical and biological properties for which they should be extensively studied for their use for various advanced biomedical applications. The new hybrid material has been prepared using 2 and 5% by volume of detonating … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 21 May 2018 · 8,616 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow-Homology Protein Structural Class Prediction from Secondary Structure Based on Visibility and Horizontal Visibility NetworkZhi-Qin Zhao, Liang Luo, Xiao-Yan LiuIn this study, based on the predicted secondary structures of proteins, we propose a new approach to predict protein structural classes (α,β,α/β,α+β) for three widely used low-homology data sets. Fist, we obtain two time siries from the chaos game representation of each predicted secondary structure; second, based on two time series, we construct visibility and horizontal visibility network, respectively and … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 1 · 12 Mar 2018 · 9,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Comic Video Clips on English Language Learners Listening ComprehensionBahman Gorjian, Mitra MohammadiTechnology-enhanced language learning has attracted educational practitioners' attention, especially in the post-COVID-19 pandemic era. This study aimed to explore the effect of using comedy video clips on EFL learners' listening via a quasi-experimental design with a pretest, posttest and intervention. The participants of the study were randomly selected among the university learners enrolling in English language lab courses. Learners' homogeneity … …Journal of Social Sciences, Vol. 20, Issue 1 · 22 Jun 2024 · 5,142 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Detection of Mask-Wearing Mistakes by Deep LearningChahinez Mérièm BentaouzaThis study focuses on the detection of wearing mask errors after machine learning by a Multi-Layer Perceptron Mixer (MLP Mixer) applied to protect masks from COVID-19. To combat the spread of the COVID-19 pandemic, facemasks have become an essential accessory, so it's necessary to identify individuals who follow this health protection. In this case, the most successful face-detection method Viola-Jones … …Journal of Computer Science, Vol. 20, Issue 7 · 25 Apr 2024 · 5,195 accessesView PDFCite