Relevant bibliographies by topics / Numeral modeling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Numeral modeling'

Author: Grafiati
Published: 10 March 2023
Last updated: 19 July 2025

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Journal articles on the topic "Numeral modeling"

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Agbeyangi, Abayomi Olusola, Safiriyu Eludiora, and Popoola O. A. "Web-Based Yorùbá Numeral Translation System." IAES International Journal of Artificial Intelligence (IJ-AI) 5, no. 4 (2017): 127. http://dx.doi.org/10.11591/ijai.v5.i4.pp127-134.

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<p class="Default">Yorùbá numerals have been seen as one of the most interesting but quite complicated numeral system. In this paper we present the development of a web-based English to Yorùbá numeral translation system. The system translates English numbers both in figure and text to its standard Yorùbá form. The computational processes underlying both numerals were used to formulate the model for the work. Unified Modeling language (UML) and Automata theory was used for the system design and specification. The designed system was implemented using Google Web App Engine with support for python. The result of the system evaluation using mean opinion score approach shows that the system gives a recall of 100% on all the output considered.</p>
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Upadhye, Gopal Dadarao, Uday V. Kulkarni, and Deepak T. Mane. "Improved Model Configuration Strategies for Kannada Handwritten Numeral Recognition." Image Analysis & Stereology 40, no. 3 (2021): 181–91. http://dx.doi.org/10.5566/ias.2586.

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Handwritten numeral recognition has been an important area in the domain of pattern classification. The task becomes even more daunting when working with non-Roman numerals. While convolutional neural networks are the preferred choice for modeling the image data, the conception of techniques to obtain faster convergence and accurate results still poses an enigma to the researchers. In this paper, we present new methods for the initialization and the optimization of the traditional convolutional neural network architecture to obtain better results for Kannada numeral images. Specifically, we propose two different methods- an encoderdecoder setup for unsupervised training and weight initialization, and a particle swarm optimization strategy for choosing the ideal architecture configuration of the CNN. Unsupervised initial training of the architecture helps for a faster convergence owing to more task-suited weights as compared to random initialization while the optimization strategy is helpful to reduce the time required for the manual iterative approach of architecture selection. The proposed setup is trained on varying handwritten Kannada numerals. The proposed approaches are evaluated on two different datasets: a standard Dig-MNIST dataset and a custom-built dataset. Significant improvements across multiple performance metrics are observed in our proposed system over the traditional CNN training setup. The improvement in results makes a strong case for relying on such methods for faster and more accurate training and inference of digit classification, especially when working in the absence of transfer learning.
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Biliaiev, M. M., and N. S. Zyonh. "MATHEMATICAL MODELING OF RIVER POLLUTION IN CASE OF THE TANKS RUN OFF THE RAILS." Science and Transport Progress, no. 1 (May 25, 2003): 26–29. http://dx.doi.org/10.15802/stp2003/21290.

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A mathematical model to calculate pollution of the Rivers Dnipro and Samara after an emergency discharge of a pollutant has been developed. The model is based on 2D equations of annual river hydraulics and the impurity transfer equation. The results of numeral simulation of pollution of the rivers’ area after derailment of railtanks from the bridge are presented.
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Ren, Zhao Hui, Xiao Peng Li, J. S. Dai, and Bang Chun Wen. "Research on Fuzzy Information Modeling Process of Quality Function Deployment." Advanced Materials Research 44-46 (June 2008): 691–96. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.691.

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In the process of products design, most input information for Quality Function Deployment always possess the characteristics of fuzziness and language, so, various input information of house of quality are regarded as language variable, glossary convene of fuzzy language and fuzzy numeral. The main idea of modeling of fuzzy information with house of quality is explained in detail, and fuzzy integrating of custom needs and fuzzy modeling of products planning with HOQ are proposed. Thus, the fuzzy or qualitative information can be dealt with efficiently, and the significative decision in fuzzy circumstance can be made.
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GOLDBERG, MAYER. "An adequate and efficient left-associated binary numeral system in the λ-calculus". Journal of Functional Programming 10, № 6 (2000): 607–23. http://dx.doi.org/10.1017/s0956796800003804.

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This paper introduces a sequence of λ-expressions modeling the binary expansion of integers. We derive expressions computing the test for zero, the successor function, and the predecessor function, thereby showing the sequence to be an adequate numeral system, i.e. one in which all recursive functions are lambda-definable. These functions can be computed efficiently; To this end, we introduce a notion of complexity that is independent of the order of evaluation.
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Zhang, Jian Hua, Dian Wei Gao, Ke Sun, and Xin Sheng Liu. "Parameterized Modeling and Analysis of Wind Turbine Blade Using VB and ANSYS." Advanced Materials Research 774-776 (September 2013): 248–51. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.248.

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It is very difficult to establish a model of wind turbine blade in finite element software directly because of complexity of the shape. To solve this problem, parameterized modeling and analysis program of wind turbine blade is developed applying of ANSYS secondary development technique based on VB6.0. Processes of establishing a finite element model, applying loads and extracting Post-processing data of wind turbine blade are described. A numeral example demonstrates the program is feasible and correct. The research work can help to speed up application of ANSYS secondary technique in design and analysis of wind turbine blade and provide references for parameterized modeling and analysis of similar engineering in the future.
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Ming-Zhou, Gao, Chen Xin-Yi, Han Rong, and Yao Jian-Yong. "A finite-time H-infinite adaptive fault-tolerant controller considering time delay for flutter suppression of airfoil flutter." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 2 (2019): 293–307. http://dx.doi.org/10.1177/0954410019867575.

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To suppress airfoil flutter, a lot of control methods have been proposed, such as classical control methods and optimal control methods. However, these methods did not consider the influence of actuator faults and control delay. This paper proposes a new finite-time H∞ adaptive fault-tolerant flutter controller by radial basis function neural network technology and adaptive fault-tolerant control method, taking into account actuator faults, control delay, modeling uncertainties, and external disturbances. The theoretic section of this paper is about airfoil flutter dynamic modeling and adaptive fault-tolerant controller design. Lyapunov function and linear matrix inequality are employed to prove the stability of the proposed control method of this paper. The numeral simulation section further proves the effectiveness and robustness of the proposed control algorithm of this paper.
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Bai, Qing Shun, Ying Chun Liang, Kai Yang, Zhi Luo, and Xiao Yan Fang. "Modeling and Micro-Milling Experiments on Complex 3D Micro-Mould Parts." Key Engineering Materials 431-432 (March 2010): 413–16. http://dx.doi.org/10.4028/www.scientific.net/kem.431-432.413.

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Micro-mould is a necessary and productive component for the development of MEMS. However, the machining of micro-mould parts with complex 3D surfaces becomes the key problem for the development of micro machinery. In the paper, a new machining technique was introduced to manufacture micro-mould parts. With a reverse engineering technique, point cloud data were acquired and reconstructed into a 3D model of micro mould part in a computer. The numeral control code for micro-machining was also processed with the help of micro-machining simulation. The machining experiment on micro-parts with complex 3D surfaces was conducted on self-developed micro machine tools with micro-diameter ball-end cutter. High quality micro mould parts with complex 3D surfaces were obtained under these micro-milling experiments. The results will provide a perspective resolution on the manufacturing of micro-mould parts with complex surfaces.
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Shao, Xuejuan, Jinggang Zhang, and Xueliang Zhang. "Takagi-Sugeno Fuzzy Modeling and PSO-Based Robust LQR Anti-Swing Control for Overhead Crane." Mathematical Problems in Engineering 2019 (April 4, 2019): 1–14. http://dx.doi.org/10.1155/2019/4596782.

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The dynamic model of overhead crane is highly nonlinear and uncertain. In this paper, Takagi-Sugeno (T-S) fuzzy modeling and PSO-based robust linear quadratic regulator (LQR) are proposed for anti-swing and positioning control of the system. First, on the basis of sector nonlinear theory, the two T-S fuzzy models are established by using the virtual control variables and approximate method. Then, considering the uncertainty of the model, robust LQR controllers with parallel distributed compensation (PDC) structure are designed. The feedback gain matrices are obtained by transforming the stability and robustness of the system into linear matrix inequalities (LMIs) problem. In addition, particle swarm optimization (PSO) algorithm is used to overcome the blindness of LQR weight matrix selection in the design process. The proposed control methods are simple, feasible, and robust. Finally, the numeral simulations are carried out to prove the effectiveness of the methods.
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Karpov, I. I., and YU S. Synyekop. "Selection of the optimal regimen of insulin therapy using spectral analysis." Electronics and Communications 15, no. 5 (2010): 137–41. http://dx.doi.org/10.20535/2312-1807.2010.58.5.285126.

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The offered method of indemnification improvement for saccharine diabetes in combination with the spectral glucose analysis allows to replace the protracted clinical selection process of the optimum insulinization mode on patient with relatively simple procedures removal of patient's day glycemic type and test on receptivity to insulin the results of which drawn on for finding of the optimum insulinization mode in numeral model experiments on PC with the mathematical dynamics modeling of the glucose level in blood and secretion of insulin by a pancreas, whereupon it remains only to conduct final optimum verification of the neat individual mode in the real terms. Use neat, near to physiology, for the management of insulin the automated metering device will allow the injections mode of insulin to promote the insulinization accordance of the patient's necessities.
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Dissertations / Theses on the topic "Numeral modeling"

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Spinelli, Giovanni. "Electromagnetic characterization and modeling of CNT-based composites for industrial applications." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/343.

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2010 - 2011<br>In several applications for the aeronautic, automative and electronic industries, there is an increasing demand of structural nanocomposites exhibiting remarkable thermal and mechanical properties and, at the same time, tailored and controlled electromagnetic (EM) performances. The interest and the scientific importance of the topic is justified by the fact that the conventional materials do not have the suitable properties to satisfy the specific requirements for modern applications. Instead, two or more distinct materials may be combined to form a material which possesses superior properties, with respect to those of individual components. Thus the individuation and preparation of advanced composites with best features respect to the traditional materials is currently required in several industrial sectors. Since CNTs can be exploited with varying structural and physical properties, geometry and functionality, that result in a different dispersion and adhesion with the polymer matrix, the possible range of composite material properties can be very large... [edited by author]<br>X n.s.
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Лимаренко, О. М., та А. Д. Стаканов. "Комп'ютерне моделювання та чисельний аналіз ортопедичного пристрою для фіксації переломів кісток передпліччя". Thesis, Сумський державний університет, 2015. http://essuir.sumdu.edu.ua/handle/123456789/39796.

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В сучасних умовах одним із достовірних методів дослідження різноманітних конструкцій в медицині і в інших галузях людської життєдіяльності, є метод комп’ютерного моделювання, або комп’ютерний експеримент, основу якого складають чисельні методи (метод скінченних різниць, метод граничних елементів, метод скінченних елементів та інші).
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Zolfaghari, Reza. "Numerical Simulation of Reactive Transport Problems in Porous Media Using Global Implicit Approach." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-197853.

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This thesis focuses on solutions of reactive transport problems in porous media. The principle mechanisms of flow and reactive mass transport in porous media are investigated. Global implicit approach (GIA), where transport and reaction are fully coupled, and sequential noniterative approach (SNIA) are implemented into the software OpenGeoSys (OGS6) to couple chemical reaction and mass transport. The reduction scheme proposed by Kräutle is used in GIA to reduce the number of coupled nonlinear differential equations. The reduction scheme takes linear combinations within mobile species and immobile species and effectively separates the reaction-independent linear differential equations from coupled nonlinear ones (i.e. reducing the number of primary variables in the nonlinear system). A chemical solver is implemented using semi-smooth Newton iteration which employs complementarity condition to solve for equilibrium mineral reactions. The results of three benchmarks are used for code verification. Based on the solutions of these benchmarks, it is shown that GIA with the reduction scheme is faster (ca. 6.7 times) than SNIA in simulating homogeneous equilibrium reactions and (ca. 24 times) in simulating kinetic reaction. In simulating heterogeneous equilibrium mineral reactions, SNIA outperforms GIA with the reduction scheme by 4.7 times<br>Diese Arbeit konzentriert sich auf die numerische Berechnung reaktiver Transportprobleme in porösen Medien. Es werden prinzipielle Mechanismen von Fluidströmung und reaktive Stofftransport in porösen Medien untersucht. Um chemische Reaktionen und Stofftransport zu koppeln, wurden die Ansätze Global Implicit Approach (GIA) sowie Sequential Non-Iterative Approach (SNIA) in die Software OpenGeoSys (OGS6) implementiert. Das von Kräutle vorgeschlagene Reduzierungsschema wird in GIA verwendet, um die Anzahl der gekoppelten nichtlinearen Differentialgleichungen zu reduzieren. Das Reduzierungsschema verwendet Linearkombinationen von mobilen und immobile Spezies und trennt die reaktionsunabhngigen linearen Differentialgleichungen von den gekoppelten nichtlinearen Gleichungen (dh Verringerung der Anzahl der Primärvariablen des nicht-linearen Gleichungssystems). Um die Gleichgewichtsreaktionen der Mineralien zu berechnen, wurde ein chemischer Gleichungslaser auf Basis von ”semi-smooth Newton-Iterations” implementiert. Ergebnisse von drei Benchmarks wurden zur Code-Verifikation verwendet. Diese Ergebnisse zeigen, dass die Simulation homogener Equilibriumreaktionen mit GIA 6,7 mal schneller und bei kinetischen Reaktionen 24 mal schneller als SNIA sind. Bei Simulationen heterogener Equilibriumreaktionen ist SNIA 4,7 mal schneller als der GIA Ansatz
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Lin, Yuan. "Numerical modeling of dielectrophoresis." Licentiate thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4014.

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Vedin, Jörgen. "Numerical modeling of auroral processes." Doctoral thesis, Umeå University, Physics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1117.

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<p>One of the most conspicuous problems in space physics for the last decades has been to theoretically describe how the large parallel electric fields on auroral field lines can be generated. There is strong observational evidence of such electric fields, and stationary theory supports the need for electric fields accelerating electrons to the ionosphere where they generate auroras. However, dynamic models have not been able to reproduce these electric fields. This thesis sheds some light on this incompatibility and shows that the missing ingredient in previous dynamic models is a correct description of the electron temperature. As the electrons accelerate towards the ionosphere, their velocity along the magnetic field line will increase. In the converging magnetic field lines, the mirror force will convert much of the parallel velocity into perpendicular velocity. The result of the acceleration and mirroring will be a velocity distribution with a significantly higher temperature in the auroral acceleration region than above. The enhanced temperature corresponds to strong electron pressure gradients that balance the parallel electric fields. Thus, in regions with electron acceleration along converging magnetic field lines, the electron temperature increase is a fundamental process and must be included in any model that aims to describe the build up of parallel electric fields. The development of such a model has been hampered by the difficulty to describe the temperature variation. This thesis shows that a local equation of state cannot be used, but the electron temperature variations must be descibed as a nonlocal response to the state of the auroral flux tube. The nonlocal response can be accomplished by the particle-fluid model presented in this thesis. This new dynamic model is a combination of a fluid model and a Particle-In-Cell (PIC) model and results in large parallel electric fields consistent with in-situ observations.</p>
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Xie, Jinsong. "Numerical modeling of tsunami waves." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27936.

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This thesis provides a synthetic understanding and an extensive analysis on megathrust earthquake generated tsunamis, with emphasis on the application of numerical modeling. In the present thesis, the tsunami characteristics are first depicted as a special hydrodynamic phenomenon. Further, a detailed literature review on the recent developments in tsunami numerical modeling techniques and on their applications is presented. A common approach in modeling the generation, propagation and inundation of tsunamis is discussed and used in the thesis. Based on the assumption of a vertical displacement of ocean water that is analogous to the ocean bottom displacement during a submarine earthquake, and the use of a non-dispersive long-wave model to simulate its physical transformation as it radiates outward from the source region. A general analysis of the Indian Ocean Tsunami of December 26th, 2004 is provided; and tsunami generation and propagation is conducted for this tsunami, as well as for tsunamis occurring in the Arabian Sea and Northwest Pacific Ocean, near the coast of the Vancouver Island. The analyses are based on geological and seismological parameters collected by the author. In this paper the author uses the collected bathymetry and earthquake information, plus tide gauge records and field survey results, and focuses on the theoretical assumptions, validation and limitation of the existing numerical models. Numerical simulations are performed using MIRONE, a tsunami modelling software developed based on the nonlinear shallow water theory. Through numerical modeling of three tsunami scenarios, e.g. December 26, 2004 Indian Ocean Tsunami, November 28, 1945 Arabian Sea Tsunami and the potential Cascadia Tsunami, a vivid overview of the tsunami features is provided as discussed. Generally, the results fairly agree with the observed data. The GEOWARE software is used to compute the tsunami travel time necessary to calibrate the results from MIRONE, using different numerical techniques. Several sensitivity analyses are conducted so that one can understand how oceanic topography affects tsunami wave propagation, determine how smoothing the topography affects the simulated tsunami travel time, and interpret the tsunami wave-height patterns as seen in the model simulations. The model can predict reasonably the tsunami behaviour, and are thus useful for tsunami warning system (tsunami mitigation and preparedness); and coastal population and industry can prepare for such possible catastrophic events.
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Pak, Ali. "Numerical modeling of hydraulic fracturing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21618.pdf.

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Vedin, Jörgen. "Numerical modeling of auroral processes /." Umeå : Dept. of Physics, Umeå Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1117.

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Johansson, Christer. "Numerical methods for waveguide modeling /." Stockholm : Numerical Analysis and Computing Science (NADA), Stockholm university, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-992.

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Kim, Chu-p'yŏ. "Numerical modeling of MILD combustion." Aachen Shaker, 2008. http://d-nb.info/988365464/04.

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Books on the topic "Numeral modeling"

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Miidla, Peep. Numerical modelling. InTech, 2012.

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1929-, Chung T. J., ed. Numerical modeling in combustion. Taylor & Francis, 1993.

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A, Beckmann, ed. Numerical ocean circulation modeling. Imperial College Press, 1999.

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Hofstetter, Günter, and Günther Meschke, eds. Numerical Modeling of Concrete Cracking. Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0897-0.

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Chalikov, Dmitry V. Numerical Modeling of Sea Waves. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32916-1.

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Mader, Charles L. Numerical modeling of water waves. University of California Press, 1988.

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Mader, Charles L. Numerical modeling of water waves. 2nd ed. CRC Press, 2004.

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Lin, Pengzhi. Numerical modeling of water waves. Taylor & Francis, 2008.

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Hofstetter, Günter, and Günther Meschke. Numerical modeling of concrete cracking. Springer, 2011.

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Lin, Pengzhi. Numerical modeling of water waves. Taylor & Francis, 2008.

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Book chapters on the topic "Numeral modeling"

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Greenspan, Donald. "Numerical Methodology." In Particle Modeling. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1992-7_2.

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Johansson, Robert. "Statistical Modeling." In Numerical Python. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0553-2_14.

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Johansson, Robert. "Statistical Modeling." In Numerical Python. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4246-9_14.

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Johansson, Robert. "Statistical Modeling." In Numerical Python. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0413-7_14.

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Helmig, Rainer. "Numerical modeling." In Multiphase Flow and Transport Processes in the Subsurface. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60763-9_4.

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Modaressi-Farahmand-Razavi, Arezou. "Numerical Modeling." In Multiscale Geomechanics. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601433.ch9.

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Gornitz, Vivian, Nicholas C. Kraus, Nicholas C. Kraus, et al. "Numerical Modeling." In Encyclopedia of Coastal Science. Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3880-1_232.

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Lee, Kun Sang, and Tae Hong Kim. "Numerical Modeling." In Integrative Understanding of Shale Gas Reservoirs. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29296-0_3.

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Ueberhuber, Christoph W. "Scientific Modeling." In Numerical Computation 1. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59118-1_1.

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Giovangigli, Vincent. "Numerical Simulations." In Multicomponent Flow Modeling. Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1580-6_12.

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Conference papers on the topic "Numeral modeling"

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Tesche, F. M. "Numerical Modeling for EMC." In 12th International Zurich Symposium and Technical Exhibition on Electromagnetic Compatibility. IEEE, 1997. https://doi.org/10.23919/emc.1997.10784042.

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Wang, Yueping, and Ken J. KarisAllen. "Validating Impressed Current Cathodic Protection Numerical Modelling Results Using Physical Scale Modelling Data." In CORROSION 2008. NACE International, 2008. https://doi.org/10.5006/c2008-08253.

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Abstract Physical scale modelling (PSM) is an experimental technology that has been used to evaluate and design shipboard impressed current cathodic protection (ICCP) systems. PSM is also a preferred tool used for validating numerical modelling results owing to the well-controlled conditions in PSM experiments. However, one issue in using PSM for the validation of numerical modelling results is the lack of information on the actual polarization behavior of the cathodes on a model hull during PSM experiments. Consequently, the polarization curve data used as boundary conditions in numerical modeling trials is usually different from the polarization behavior of the cathodes in PSM experiments. This difference can result in a discrepancy between the numerical modelling and the PSM results that is difficult to separate from other numerical errors. A discrete area current control (DACC) technique was developed in a previous ICCP PSM study to simulate the polarization behavior of a propeller material under various conditions. The present study extended the DACC technique to simulating the polarization curve behavior of multiple discrete cathodes on a model hull. The application of the DACC technique also made it possible for both the PSM and numerical modelling trials to use the same sets of polarization curve data as inputs or as boundaries in the validation studies. This paper demonstrates the use of the DACC technique to simulate the polarization behaviors of a propeller material and three paint damage patches. The PSM results obtained under different polarization behaviors of propeller and hull materials are also used to validate the numerical modelling results obtained under the same polarization conditions.
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Ding, Shuo, and Youlin Yang. "Realization of Numeral Eddy Current Sensor Modeling." In 2012 5th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2012. http://dx.doi.org/10.1109/iscid.2012.137.

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Wang, Yanjie, Xiabi Liu, and Yunde Jia. "Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation." In 2009 10th International Conference on Document Analysis and Recognition. IEEE, 2009. http://dx.doi.org/10.1109/icdar.2009.25.

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Hamzayev, Khanlar, Ahmed Babaev, and Sevil Huseynzade. "Method of numeral modeling of elastic water drive mode of development of layer." In 2012 IV International Conference "Problems of Cybernetics and Informatics" (PCI). IEEE, 2012. http://dx.doi.org/10.1109/icpci.2012.6486368.

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Savinelli, K. J., Greg Scontras, and Lisa Pearl. "Exactly two things to learn from modeling scope ambiguity resolution: Developmental continuity and numeral semantics." In Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2018). Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/w18-0108.

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Petryshyn, M. "Modeling of the TIF processes in binary numeral systems based on the vector-branching diagrams." In 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON). IEEE, 2017. http://dx.doi.org/10.1109/ukrcon.2017.8100416.

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Kang, Sanghoon, Xueguan Song, Kyunghun Kim, and Youngchul Park. "Investigation on a Gas-Liquid Ejector Using Three-Dimensional CFD Modeling." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87385.

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This work is focusing on the numeral study of a gas-liquid ejector used for ballast water treatment. The gas-liquid ejector is investigated through steady three-dimensional multiphase CFD analysis with commercial software ANSYS-CFX. Water as the primary fluid is driven through the driving nozzle and air is ejected into as the second gas instead of the ozone in real application. Several turbulence models such as Standard k-ε, RNG k-ε, SST, and k-ω, and different grid size are compared extensively with the experimental results to eliminate the influence of the auxiliary system. The appropriate numerical model in terms of the best combination of simplified 3D model, turbulence model and mesh size are used in the subsequent research to study the influence of the operating condition such as the driving pressure/velocity. And the proposed numerical model will be very helpful in the further design optimization of the gas-liquid ejectors.
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Tzeou, Hah, Agnès Grandjean, Antoine Leydier, et al. "Modeling and simulation of solid phase extraction for leached ore purification." In Proceedings of XVI International Mineral Processing and Recycling Conference, Belgrade, 28-30.05.2025. University of Belgrade, Technical Faculty, Bor, 2024. https://doi.org/10.5937/imprc25711t.

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Development of solid/liquid extraction purification process of valuable elements from leached ores can be hasten or made easier with the use of computer resources to simulate the process. The simulation will allow to find the optimal conditions according to different parameters, without conducting numeral experiments for each change of parameters. The French Atomic Energy Commission (CEA) developed a code to simulate solid phase extraction (SPE). Literature or batch experiments will give the equilibrium constants characterizing the sorption on the support but also the speciation of each species in the liquid phase required for the code. The Residence Time Distribution (RTD) experiments will be able to characterize the flow within the solid support. To ensure the proper operation of the code, simulation of uranium extraction from complex media with high sulfate concentrations resulting from mining leaching will be compared to experimental extractions data acquired on materials specially developed for this application.
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Tomiya, Mitsuyoshi. "Numerical approach to spectral properties of coupled quartic oscillators." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386841.

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Reports on the topic "Numeral modeling"

1

McAlpin, Jennifer, and Jason Lavecchia. Brunswick Harbor numerical model. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40599.

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The Brunswick area consists of many acres of estuarine and marsh environments. The US Army Corps of Engineers District, Savannah, requested that the US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, develop a validated Adaptive Hydraulics model and assist in using it to perform hydrodynamic modeling of proposed navigation channel modifications. The modeling results are necessary to provide data for ship simulation. The model setup and validation are presented here.
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Delk, Tracey. Numerical Modeling of Slopewater Circulation. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada375720.

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Torres, Marissa, Michael-Angelo Lam, and Matt Malej. Practical guidance for numerical modeling in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45641.

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This technical note describes the physical and numerical considerations for developing an idealized numerical wave-structure interaction modeling study using the fully nonlinear, phase-resolving Boussinesq-type wave model, FUNWAVE-TVD (Shi et al. 2012). The focus of the study is on the range of validity of input wave characteristics and the appropriate numerical domain properties when inserting partially submerged, impermeable (i.e., fully reflective) coastal structures in the domain. These structures include typical designs for breakwaters, groins, jetties, dikes, and levees. In addition to presenting general numerical modeling best practices for FUNWAVE-TVD, the influence of nonlinear wave-wave interactions on regular wave propagation in the numerical domain is discussed. The scope of coastal structures considered in this document is restricted to a single partially submerged, impermeable breakwater, but the setup and the results can be extended to other similar structures without a loss of generality. The intended audience for these materials is novice to intermediate users of the FUNWAVE-TVD wave model, specifically those seeking to implement coastal structures in a numerical domain or to investigate basic wave-structure interaction responses in a surrogate model prior to considering a full-fledged 3-D Navier-Stokes Computational Fluid Dynamics (CFD) model. From this document, users will gain a fundamental understanding of practical modeling guidelines that will flatten the learning curve of the model and enhance the final product of a wave modeling study. Providing coastal planners and engineers with ease of model access and usability guidance will facilitate rapid screening of design alternatives for efficient and effective decision-making under environmental uncertainty.
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Puleo, Jack, K. T. Holland, and D. Slinn. Numerical Modeling of Swash Zone Hydrodynamics. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada403978.

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Leighton, Richard. Enhanced Numerical Modeling of Breaking Waves. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada455681.

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O'Brien, James J. Ocean Science Educator in Numerical Modeling. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada281455.

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Kerley, Gerald I. Numerical Modeling of Buried Mine Explosions. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada392569.

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Singh, Surendra, and William P. Roach. Numerical Modeling of Antenna Near Field. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada473446.

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Pasupuleti, Murali Krishna. Mathematical Modeling for Machine Learning: Theory, Simulation, and Scientific Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv125.

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Abstract Mathematical modeling serves as a fundamental framework for advancing machine learning (ML) and artificial intelligence (AI) by integrating theoretical, computational, and simulation-based approaches. This research explores how numerical optimization, differential equations, variational inference, and scientific computing contribute to the development of scalable, interpretable, and efficient AI systems. Key topics include convex and non-convex optimization, physics-informed machine learning (PIML), partial differential equation (PDE)-constrained AI, and Bayesian modeling for uncertainty quantification. By leveraging finite element methods (FEM), computational fluid dynamics (CFD), and reinforcement learning (RL), this study demonstrates how mathematical modeling enhances AI-driven scientific discovery, engineering simulations, climate modeling, and drug discovery. The findings highlight the importance of high-performance computing (HPC), parallelized ML training, and hybrid AI approaches that integrate data-driven and model-based learning for solving complex real-world problems. Keywords Mathematical modeling, machine learning, scientific computing, numerical optimization, differential equations, PDE-constrained AI, variational inference, Bayesian modeling, convex optimization, non-convex optimization, reinforcement learning, high-performance computing, hybrid AI, physics-informed machine learning, finite element methods, computational fluid dynamics, uncertainty quantification, simulation-based AI, interpretable AI, scalable AI.
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Krzanowsky, R. M., R. K. Singhal, and N. H. Wade. Numerical modelling of material diggability. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304973.

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