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154 articles for “Hybrid network”
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Research ArticleOpen accessIn the abstractAraSenti-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 abstractPredictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain ManagementDevendra Nath Pathak, Rakesh Kumar Yadav, Hitendra SinghIn the current dynamic and consumer driven market environment, supply chains need to move out of reactive to the proactive ecosystems. One of the most urgent requirements is increasing procurement visibility and the development of better order planning for the inventory to meet the products’ demand with continued high customer satisfaction. This paper is an agenda of big-data-driven predictive analytics … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,453 accessesView PDFCite
Research ArticleOpen accessIn the abstractEVALUATION OF HIDDEN MARKOV MODEL BASED ADAPTIVE PROVISIONING OF OPTICAL BURST SWITCHING NETWORKS AMENABLE FOR UPGRADATION TO GREEN FLEXIGRID NETWORKSP. G.V. Ramesh, Prita NairCatering to the evolving bandwidth-on-demand applications requires flexible provisioning architectures that ensure fairness to both high end and low end users of internet. Dynamic classification of network paths into long and short, based on traffic dependent connection holding times and a wavelength allocation from different subsets for these categories is a necessity for implementing energy saving hybrid switching, loss recovery … …Journal of Computer Science, Vol. 10, Issue 5 · 16 Jan 2014 · 6,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Variable Neighborhood Search Algorithm for Assigning Cells to Switches in Wireless NetworksMatthieu Andr, Gilles Pesant, Samuel PierreThe problem of assigning cells to switches in wireless networks consists of minimizing the total operating cost, that is, the cost of linking cells to switches and the cost of handover from one cell to another, by taking into account factors such as network topology, switch capacity and traffic load in the entire network. Such a problem is well known … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EFFICIENT HYBRID ALGORITHM TO REDUCE LATENCY IN AD-HOC AGGREGATIONN. Rajkumar, N. K. Senthil Kumar, P. Subha, R. KavithaA data warehouse is a collection of data gathered and organized so that it can easily be analyzed, extracted, synthesized and also be used for the purpose of further understanding data. Peer to Peer networks are used for distribution and sharing of documents. In traditional techniques, when aggregate functions like average, sum and count are encountered, the aggregate operation is … …Journal of Computer Science, Vol. 10, Issue 7 · 18 Feb 2014 · 6,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractData-Driven Forecasting Schemes: Evaluation and ApplicationsJosip Vrbanek Jr, Wilson WangA reliable multi-step predictor is very useful to a wide array of applications to forecast the behavior of dynamic systems. The objective of this paper is to develop a more robust data-driven predictor for time series forecasting. Based on simulation analysis, it is found that multi-step-ahead forecasting schemes based on step inputs perform better than those based on sequential inputs. … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractSTRUCTURAL AND OPTICAL STUDIES OF CONDUCTING PANI/CuS NANOCOMPOSITES ON NANOCRYSTALLINE ZINC-OXIDE THIN FILMM. A. Sangamesha, K. Pushpalatha, G. L. ShekarIn this article, a p-n heterostructure diode was developed by incorporating the synthesised nanocomposite of CuS/PANI into the hallow network of ZnO thin film deposited on the glass substrate, which hitherto not reported. Analyses of the obtained heterostructure were carried out using XRD, FT-IR, UV-Visible and SEM. The penetration, bonding and the interaction of the nanocomposite with ZnO was investigated … …Current Research in Nanotechnology, Vol. 5, Issue 1 · 15 Aug 2014 · 7,047 accessesView PDFCite
Literature ReviewOpen accessIn the abstractState of the Art on Video Streaming and ApplicationsYahia Hasan, Ali ZanbouriThe real-time and live video streaming are playing an important role in our daily lives; therefore enhancing the quality of real-time and live video streaming over wired and wireless packet erasure networks which becomes more and more important topic nowadays. The main objective of this tutorial paper is to highlight state of the art on video streaming and the most … …Journal of Computer Science, Vol. 14, Issue 4 · 21 Apr 2018 · 7,959 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL ARTIFICIAL HYDROCARBON NETWORKS BASED SPACE VECTOR PULSE WIDTH MODULATION CONTROLLER FOR INDUCTION MOTORSHiram Ponce, Luis Ibarra, Pedro Ponce, Arturo MolinaMost of machine-operated industrial processes implement electric machinery as their work sources, implying the necessary improvement of control techniques and power electronics drivers. Many years have passed since the control conflicts related to induction motors have been overcome through torque-flux control techniques so their advantages over direct current motors have made them to be the most common electric actuator found … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 26 Feb 2014 · 7,046 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Neuro-Fuzzy Inference System-Particle Swarm Optimization Based Stability Maintenance of Power System NetworksR. Latha, J. KanakarajDuring faulty condition voltage instability is one of the major crisis in power system networks. This study proposes a hybrid learning algorithm to improve the stability performance of a power system with Distributed Generations (DGs). Here the distribution system stability is maintained with reduced power loss using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO) techniques. In … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,909 accessesView PDFCite