Academic literature on the topic 'Numeral modeling'

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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
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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 pr
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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 c
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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
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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 adaptiv
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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 compl
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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 stabil
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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 fin
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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 sup
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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 immob
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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 des
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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
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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 mod
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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 n
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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 specie
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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"

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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 p
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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 uncertai
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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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