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38 results for “analytical models”
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Research ArticleOpen accessPhrase in the titleComparative Assessment of Analytical models for the ULS Resistance Verification of Structural Glass Elements under Variable LoadsChiara Bedon, Claudio AmadioThe design of glass structures, due to the intrinsic material properties, is mainly governed by the typical tensile brittle behavior of the material. In this regard, a currently open question related to the use of glass in buildings as a load-bearing constructional material, is represented by the correct estimation of static fatigue phenomena due to a generic combination of design … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 16 Mar 2017 · 7,761 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleHybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical ModelsAbdelkrim Moussaoui, Yacine Selaimia, Hadj A. AbbassiThe authors discuss the combination of an Artificial Neural Network (ANN) with analytical models to improve the performance of the prediction model of finishing rolling force in hot strip rolling mill process. The suggested model was implemented using Bayesian Evidence based training algorithm. It was found that the Bayesian Evidence based approach provided a superior and smoother fit to the … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 7,135 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluation of a Dual-Purpose Chemical Applicator for Paddy FieldsMohammed Shu’aibu Abubakar, Desa Ahmad, Othman Jamarei et al.Problem statement: One of the major problems of rice production is the shortage of labor resulting from migration from rural to urban areas, making it very difficult to meet peak demands for paddy production. In most developing countries of Southeast Asia, agricultural mechanization of paddy field operation is mostly carried out using conventional machines. For example in rice production powerintensive … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractVision Tune: A Deep Learning Framework for Sentiment Driven Video, Image and Music CreationLukesh Rameshpant Kadu, Manoj Deshpande, Vijaykumar PawarArtificial intelligence has enabled powerful generative models for text, images, video, and music, yet most tools still operate independently without a unified, multi-modal workflow. This article proposes an integrated AI framework, Vision Tune, that consolidates these isolated capabilities into a single, sentiment-aware platform for end-to-end media creation. The system leverages deep learning and multi-scope AI models to automatically generate written … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractNumerical Study of Static and Dynamic Instabilities of Pinned-Pinned Pipe under Different ParametersDahmane Mouloud, Zahaf Samir, Benkhettab Mohamed, Boutchicha DjilaliIn this study, the natural frequencies of the pipe transporting an fluid resting on an elastic Winkler-type and the critical velocities of instabilities are obtained by the standard finite element method. A dynamic characteristic of a pipe carrying internal fluid undergoes mechanical load due to inertia effect of fluid, Coriolis force, fluid kinetic force due to fluid flow velocity, dynamic … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 21 Nov 2020 · 7,004 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Performance of Double Laminated Glass Panels with EVA and PVB Interlayer in Four-Point Bending TestsTomáš Hána, Martina Eliášová, Zdeněk SokolMany examples of glass loadbearing structures such as handrails, panes, beams and columns can be found in modern architecture. Most of these elements are made of laminated glass panels. There is a general lack of knowledge about the transfer of shear forces between the glass plies in perpendicularly-loaded laminated panels. This transfer depends significantly on the stiffness of the polymeric … …International Journal of Structural Glass and Advanced Materials Research, Vol. 2, Issue 1 · 14 Aug 2018 · 13,274 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review of the Recent Advances Made in the Black-Scholes Models and Respective Solutions MethodsYasir Hamad Al Saedi, Gurudeo Anand TularamThe Black-Scholes model has been a major advance in finance over a period of time; this paper examines this model in some detail, in terms of the latest developments in both analytical and numerical solutions. The paper initially briefly examines historical aspects but quickly moves to a critical analysis of the works in the applications, solutions and implications for the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 8 Jan 2018 · 8,621 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Super-Resolution using Auto-Encoders with Parallel Skip-ConnectionsLisha Pulickal Purushothaman, Jayasree Vadakke KadangoteSuper-resolutionimages are highly desired when employed for numerous analytical purposes andobviously because of their superior attractive visual effect. To create aHigh-Resolution (HR) image from one or more Low-Resolution (LR) images, animage super-resolution technique is used. When dealing with naturalenvironments and settings, it is not always easy to access high-resolutionimages. The main barriers to the same are limitations in acquisition methods.In … …Journal of Computer Science, Vol. 18, Issue 11 · 11 Nov 2022 · 6,081 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Analysis of Network ODE Systems in Metric Spaces: An ApproachSusmit BagchiTraditionally, the concepts of graph theory are applied to design stationary computer networks and, to analyze dynamics of social networks. However, the majority of non-stationary network models are formulated by using Ordinary Differential Equations (ODE) with varying orders having homogeneous or non-homogeneous forms. However, the analysis of continuous solution spaces of ODE and understanding of the interplay of spaces in … …Journal of Computer Science, Vol. 13, Issue 1 · 1 Mar 2017 · 7,891 accessesView PDFCite