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221 results for “Hybrid Model”
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Research ArticleOpen accessEvery word in the titlePeer-to-Peer Video Conferencing Using Hybrid Content Distribution ModelAlhamza Munther, Salah Noori, Azlan Osman et al.Problem statement: Multimedia Conferencing System (MCS) is a server-based video conferencing system. One of the most critical limitations faced by this approach is the scalability issue. In the MCS, the outgoing bandwidth of the server is shared among all concurrent clients. Thus, the more clients there are, the lesser the bandwidth each client can have. The performance of this approach … …Journal of Computer Science, Vol. 8, Issue 7 · 8 Jun 2012 · 7,857 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMathematical Modeling of the Three Phase Induction Motor Couple to DC Motor in Hybrid Electric VehicleZulkarnain Lubis, A. N. Abdalla, Mortaza, Ruzlaini GhonProblem statement: With emphasis on a cleaner environment and efficient operation, vehicles today rely more and more heavily on electrical power generation for success. Approach: Mathematical modeling the components of the HEV as the three phase induction motor couple to DC motor in hybrid electric vehicle was introduced. The controller of Induction Motor (IM) was designed based on input-output feedback … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 8,309 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStrength Modeling of High-Strength Concrete with Hybrid Fibre ReinforcementA. Ravichandran, K. Suguna, P. N. RagunathThe low tensile strength and limited ductility, the unavoidable deficiency, of concrete can be overcome by the addition of fibres. High strength concrete (HSC) of 60 MPa containing hybrid fibres, combination of steel and polyolefin fibres, at different volume fraction of 0.5, 1.0, 1.5 and 2.0% were compared in terms of compressive, splitting tensile strength and flexural properties with HSC … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,541 accessesView PDFCite
Research ArticleOpen accessEvery word 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 accessEvery word in the titleBiofidel FEA Modeling of Customized Hybrid Biological Hip Joint Design Part II: Flexible Stem Trabecular ProsthesesRaffaella Aversa, Florian Ion T. Petrescu, Relly Victoria V. Petrescu, Antonio ApicellaNew biomechanical criteria for the design of biomimetic hip joint prostheses are presented. Biofidel Finite Element Models have been used both to correctly analyze femur physiological and structural behavior and to assess a new design criterion for the development of innovative hybrid biological hip prostheses. Proper identification of isostatic lines and isorigidity regions for the sintered metal trabecular lattices distribution … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 4 · 16 Dec 2016 · 8,612 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBiofidel FEA Modeling of Customized Hybrid Biological Hip Joint Prostheses, Part I: Biomechanical Behavior of Implanted FemurRaffaella Aversa, Florian Ion T. Petrescu, Relly Victoria V. Petrescu, Antonio ApicellaBiofidel femur Finite Element Models have been developed using specific combination of Computer Tomography segmentation and solid modeling software tools able to represent bone physiology and structural behavior. These biofidel Finite Element Models (FEM) is used to evaluate the modification of the physiological stress distribution in a prosthesized femur and to assess new design criteria for the development of biomimetic … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 4 · 16 Dec 2016 · 8,716 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRoute Optimization using Hybrid GRU Learning Model for SDN and Edge-Based VANET TopologySavitha Kumar, Chandrasekar ChinnasamyIntelligent Transportation System (ITS) offersoutstanding features, including security applications and emergency alerts.Unfortunately, ITS limits traffic control services, adaptability, andadjustability due to the traffic volume. Hence, expanding the standard VehicularAd hoc Networks (VANET) framework is a requirement. As a result, in the latestdays, the concept of Software-Defined Networking based Vehicular Ad hocNetworks (SDN-VANETs) has drawn considerable attention, creating VANETssmarter. The SDN-VANETs … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,160 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, NigeriaNajashi B. Gafai, Asia'u Talatu BelgoreThe extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves. As a result, solar radiation simulation is crucial to the efficient design, administration, and operation of any solar power plant. With only partially satisfactory results, empirical models have been routinely employed in Nigeria to predict solar … …Energy Research Journal, Vol. 13, Issue 1 · 21 Jul 2022 · 10,032 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Deep Learning Models for Text Classification: Performance Evaluation of TriDistilBERT and BiGRU ArchitecturesAmira Samy TalaatText can be a valuable source of information, but its unstructured nature makes analysis challenging and time-consuming. Machine Learning (ML) algorithms can efficiently analyze and structure text, enabling organizations to automate processes and uncover insights that support better decision-making. This study focuses on applying ML to a classification problem using two datasets. Four deep learning models are introduced, combining Bi … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,792 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBiomimetic Finite Element Analysis Bone Modeling for Customized Hybrid Biological Prostheses DevelopmentAversa Raffaella, Florian Ion T. Petrescu, Relly Victoria V. Petrescu, Apicella AntonioThe human femur shows a high capacity to withstand external stresses and it is due to the mass distribution, morphology, and orthotropic behaviors of trabecular and cortical bone. Faithful modeling of the femur accounting for bone distribution and material orthotropic behavior is presented. The use of biofidel model is aimed to develop an "in silico" tool that could enable the … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 30 Nov 2016 · 8,980 accessesView PDFCite