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Research ArticleOpen accessEvery word in the titleFabrication and Tensile Property Analysis of Polymer Matrix Composites of Graphite and Silicon Carbide as FillersVikram G. Kamble, Naveen Kumar L.In a world there is ever-increasing demand for new materials, composite materials finds the topmost spot. Here in this work an attempt has been made to study the mechanical properties of Glass and Vinyl Ester composites with and without fillers. Laminates are prepared by Hand Layup technique with changing the volume percentage of Vinyl Ester and fillers in each. The … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 1 · 3 Dec 2015 · 8,037 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Graphical Based Method for a Class of One-Stage Bounded Variables and Single Constrained Linear Programming ProblemsSuwitchaporn Witchakul, Prapaisri Sudasna-na-Ayudthya, Peerayuth Charnsethikul, Kamlesh MathurAn efficient and effective special purpose method is proposed for solving a class of one-stage single constrained linear programming problems with a finite number of right hand side scenarios and bounded variables. We compare our proposed method with a general purpose method using CPLEX interactive optimizer. For various m and n, by using elapsed computational time as the criteria, our … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 6,922 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleKnowledge Based System for Visual Computing of Depth in 2D Images of Geometric Objects Like Straight Lines, Planes and Solids and their Applications in Engineering GraphicsM. Narayana Rao, V. VaithyaNathanAn attempt was made in this study, to develop a ”Knowledge Based System” for i)computing the depth (or the third dimension) of 3D objects, ii) computing the inclinations of 2D planes with predefined reference planes and iii) computing the inclinations of a straight line with predefined reference planes. The development of the proposed “Knowledge Based System” was based on the … …Journal of Computer Science, Vol. 2, Issue 8 · 31 Aug 2006 · 6,209 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 422 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAraSenti-MARBERT-DynGCN: An Advanced Framework for Sarcasm Detection in Arabic TextBassma M Mousa, Mohammed H. Haggag, Mervat GheithSarcasm detection in Arabic texts is challenging because of the complexity in Arabic morphology, the multitudes of dialects used by native speakers, and its strong reliance on context. The lack of standardized orthography in most written forms of Arabic, combined with the frequent use of colloquialisms and metaphorical expressions, makes the task all the more difficult when trying to detect … …Journal of Computer Science, Vol. 21, Issue 11 · 12 Feb 2026 · 1,575 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,275 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Generalized Algorithm for the Gravitational Potential of a Homogeneous CuboidThunendran Periyandy, Michael BevisThis paper presents a mathematical formulation for computing the gravitational potential of a cuboid (or right rectangular prism) with uniform density. The resulting analytical expressions are valid inside, on and outside the cuboid. The methodology systematically organizes logarithmic and arctangent terms using a hexagonal graph approach, promoting numerical stability and correct sign allocation. We provide a structured pseudocode algorithm to … …Physics International, Vol. 16, Issue 1 · 28 Nov 2025 · 3,180 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCOV19-Dijkstra: A COVID-19 Propagation Model Based on Dijkstra’s AlgorithmArnaud Watusadisi Mavakala, Wilfried Yves Hamilton Adoni, Najib Ben Aoun et al.The presence of the coronavirus, known as COVID-19, has prompted several researchers to study the mode of spread and the different defense mechanisms of the virus. As a reminder, obtaining a vaccine, for which much research is being conducted around the world, is a long and expensive process and it is unlikely that the pandemic can be treated in time. … …Journal of Computer Science, Vol. 19, Issue 1 · 5 Jan 2023 · 6,611 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPredictive Modeling Applied to Structured Clinical Data Extracted from Electronic Health Records: An Architectural Hypothesis and A First ExperimentAlessandra Pieroni, Alessandro Cabroni, Francesca Fallucchi, Noemi ScarpatoPredictive analysis is one of current important issues in the healthcare context. A lot of patients’ input data can be obtained from their Electronic Health Records. In our research, we propose a general architecture named Health Prediction Architecture. Initially, we consider that data refer to strongly structured health datasets (no free text). Our objectives are related to exploring some problems … …Journal of Computer Science, Vol. 17, Issue 9 · 7 Sep 2021 · 6,575 accessesView PDFCite