Titlebook: Model Design and Simulation Analysis; 15th International C Syng Yup Ohn,Sung Do Chi Conference proceedings 2016 Springer Science+Business M

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metropolitan

On the Characterization of Product-Form Multiclass Queueing Models with Probabilistic Disciplinesif the choice of the customer to serve after a job completion is uniform among the queue population, then the model has a BCMP-like product-form solution. In this paper we address the problem of characterizing the probabilistic queueing disciplines that can be embedded in a BCMP queueing network mai

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Bridging the Gulfs: Modifying an Educational Augmented Reality App to Account for Target Users’ Age ent, younger user group. Originally designed for undergraduate college students, the application was modified for use by middle school students. Our modifications were designed to bridge certain gulfs of execution and evaluation in interactions with the application in ways that accounted for differe

Painstaking

Prediction and Early Detection of Various Diseases Risk by Using Machine Learning Techniques,ease or health condition causing the symptoms and provide early intervention for better health outcomes. The study will collect data from electronic health records and patient symptom reports, which will be pre-processed and analyzed to identify patterns and associations between symptoms and disease

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Control of Injection Process Using Irate Injection Law on Single Cylinder Diesel Engine’s by Numerical Simulationonditions. Optimization of the injection process has a major impact on the efficiency of engine processes by increasing engine power and torque, reducing fuel consumption and pollutant emissions. This paper proposes a numerical analysis of the injection process by modeling and computer simulation of

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CHIP

Dynamic Data: Branding the Digital Drive, for constructing COP-nets, using A* search, is introduced. Using this approach, partial COP-nets can be constructed on demand instead of generating the entire structure. Experimental results show that the new method yields enormous savings in time and memory requirements, with only a modest reduction in prediction accuracy.

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