Bibliografie tematiche / Modeling

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Letteratura scientifica selezionata sul tema "Modeling"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Modeling"

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A. Razak, Amir. "Overview of Wind Turbine Modeling in Modelica Language." International Journal of Engineering and Technology 4, no. 5 (2012): 551–53. http://dx.doi.org/10.7763/ijet.2012.v4.430.

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Mitra, Novelyn L., Ma Jobelle R. David, and Rommel Pariñas Deus Gleena P. Pascual. "Predictive Modeling for Criminology Licensure Examination Success Through Mathematical Modelling." International Journal of Research Publication and Reviews 5, no. 3 (2024): 168–76. http://dx.doi.org/10.55248/gengpi.5.0324.0604.

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Muller, Pierre-Alain, Frédéric Fondement, Benoît Baudry, and Benoît Combemale. "Modeling modeling modeling." Software & Systems Modeling 11, no. 3 (2010): 347–59. http://dx.doi.org/10.1007/s10270-010-0172-x.

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Jha, Ritambhara. "Statistical Modeling vs. Machine Learning Modeling: A Comparative Research." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 1793–95. http://dx.doi.org/10.21275/sr24203181719.

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Killeen, Peter R. "MODELING MODELING." Journal of the Experimental Analysis of Behavior 71, no. 2 (1999): 275–80. http://dx.doi.org/10.1901/jeab.1999.71-275.

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Khamzina, B. E., A. S. Kudussov, and Zh Sh Kuralbayeva. "Modeling in CupCarbon." Bulletin of the Karaganda University. Pedagogy series 107, no. 3 (2022): 22–27. http://dx.doi.org/10.31489/2022ped3/22-27.

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Modeling is one of the key categories of modern cognitive theory and design-engineering practice. Simulation and visualization of real physical processes and phenomena are important technological tools and simulation results. The article presents a comparative review and analysis of existing emulators, such as Cisco Packet Tracer and UNetLab, as well as the rationale for choosing CupCarbon as a platform for modeling, in particular, wireless networks for the Internet of Things. The functional potential of today’s most common emulators like Cisco Packet Tracer and UNetLab are significant. Cisco
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Dimanova, Donika. "THEORY OF MODELING." Journal scientific and applied research 4, no. 1 (2013): 106–11. http://dx.doi.org/10.46687/jsar.v4i1.87.

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The aim of this study is to provide a brief introduction to the theory of modeling, to classify the models and methods of modeling, to explore the most common tools for modeling and simulation. This is necessary to specify the main characteristics on which to compare the qualities of the means of modeling and simulation and to compare these tools based on specified characteristics. Results of the study can be applied to using simulation tools (the choice of situational model ) for crisis management.
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Winkler, Istvan, Eugene N. Sokolov, John A. Spinks, Risto Naatanen, and Heikki Lyytinen. "Modeling the Modeling." American Journal of Psychology 116, no. 2 (2003): 336. http://dx.doi.org/10.2307/1423590.

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Laloë, Francis. "Modelling sustainability: from applied to involved modeling." Social Science Information 46, no. 1 (2007): 87–107. http://dx.doi.org/10.1177/0539018407073659.

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English Models are used as tools for studying sustainable development. They are a priori neutral, but this neutrality can be upset if the analysis of observations done to answer questions in reference to a given a priori definition of sustainability leads to the identification of sustainability contexts that do not correspond to the initial definition. The practice of actors may for example involve substitution between elements of a natural capital, which may not be in agreement with a strong definition of sustainability. Therefore we may have to consider the need for transition from a prescri
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Tyson, Stephen, and Joost Herweijer. "Knowledge management and 3D modelling: overview and application to iterative 3D modelling workflows." APPEA Journal 51, no. 2 (2011): 683. http://dx.doi.org/10.1071/aj10063.

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As 3D reservoir modeling is effectively the centre stage in many multi-disciplinary reservoir management efforts, the need for effective knowledge management is paramount to ensure: Inclusion of pre-existing knowledge is in the model, including absent (or controversial knowledge), reflected in uncertainties. A definition of a modeling process comprehensively covers the reservoirs issues identified while leading to fit for purpose results in a given imposed time span. Storage of knowledge generated and a modeling audit trail during the modeling process to ensure adequate and efficient model upd
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Tesi sul tema "Modeling"

1

SOUSA, HENRIQUE PRADO. "INTEGRATING INTENTIONAL MODELING TO PROCESS MODELING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=19928@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>A modelagem de processos de negócio é utilizada por empresas que desejam documentar detalhes do fluxo de execução de seus processos, resultando em um documento rico em detalhes sobre o negócio. Este artefato também é utilizado pela Engenharia de Software para elicitação de requisitos de sistema. A modelagem intencional possui foco na modelagem de objetivos - definidos como metas e metas flexíveis - e registra as estratégias que podem ser seguidas por um ator de forma a melhor atender suas necessidades, mapeando tarefas e recursos necessário
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Hansen, Daniel L. "Modeling." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/27137.

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Queiroz, Eurico Tiago Justino. "Modelling Benguela niños using the regional oceanic modeling system (ROMS)." Master's thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/6499.

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Includes bibliographical references (leaves 132-141).<br>Pierre Florenchie<br>This study is framed by three questions: firstly, could the Regional Oceanic Modelling System (ROMS) reproduce the seasonal cycle of the equatorial Atlantic? Secondly, what is the nature of the link between remote forcing in the western equatorial Atlantic and Benguela Niños/Niñas? Thirdly, what is the impact of these events on the equatorial Atlantic Ocean SST and circulation patterns? The results obtained suggest that the model is very sensitive to different wind stress forcing, particularly in respect of the impac
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Andersson, Conny. "Design of the Modelica Library VehProLib with Non-ideal Gas Models in Engines." Thesis, Linköpings universitet, Fordonssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121817.

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This thesis covers the reconstruction and the redesign of the modeling library VehProLib,which is constructed in the modeling language Modelica with help of the modeling toolWolfram SystemModeler. The design choices are discussed and implemented. This thesisalso includes the implementation of a turbocharger package and an initial study of the justificationof the ideal gas law in vehicle modeling. The study is made with help of Van derWaals equation of states as a reference of non-ideal gas model. It will be shown that for themean-value-engine-model, the usage of ideal gas law is justified.
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Milligan, Walter W. Jr. "Deformation modeling and constitutive modeling for anisotropic superalloys." Diss., Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/19922.

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Musunuri, Shravana Kumar. "Hybrid electric vehicle modeling in generic modeling environment." Master's thesis, Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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Stollhoff, Rainer. "Modeling Prosopagnosia." Doctoral thesis, Universitätsbibliothek Leipzig, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-39600.

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Prosopagnosia is defined as a profound deficit in facial identification which can be either acquired due to brain damage or is present from birth, i.e. congenital. Normally, faces and objects are processed in different parts of the inferotemporal cortex by distinct cortical systems for face vs. object recognition, an association of function and location. Accordingly, in acquired prosopagnosia locally restricted damage can lead to specific deficits in face recognition. However, in congenital prosopagnosia faces and objects are also processed in spatially separated areas. Accordingly, the face r
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Дядечко, Алла Миколаївна, Алла Николаевна Дядечко, Alla Mykolaivna Diadechko, and V. O. Hlushchenko. "Computer modeling." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13473.

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Akhlagi, Ali. "A Modelica-based framework for modeling and optimization of microgrids." Thesis, KTH, Energiteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263037.

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Microgrids have lately drawn much attention due to their considerable financial benefits and the increasing concerns about environmental issues. A solution that can address different engineering problems - from design to operation - is desired for practical reasons and to ensure consistency of the analyses. In this thesis, the capabilities of a Modelicabased framework is investigated for various microgrid optimization problems. Various sizing and scheduling problems are successfully formulated and optimized using nonlinear and physical component models, covering both electrical and thermal dom
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Boström, Rikard, and Lars-Olof Moilanen. "Capacity profiling modeling for baseband applications." Thesis, Karlstad University, Faculty of Economic Sciences, Communication and IT, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-3352.

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<p>Real-time systems are systems which must produce a result within a given time frame. A result given outside of this time frame is as useless as not delivering any result at all. It is therefore essential to verify that real-time systems fulfill their timing requirements. A model of the system can facilitate the verification process. This thesis investigates two possible methods for modeling a real-time system with respect to CPU-utilization and latency of the different components in the system. The two methods are evaluated and one method is chosen for implementation.The studied system is t
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Libri sul tema "Modeling"

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Tiller, Michael. Introduction to Physical Modeling with Modelica. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1561-6.

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O'Reilly, Susie. Modeling. Thomson Learning, 1993.

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Cantwell, Lois. Modeling. F. Watts, 1986.

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Lesh, Richard, Peter L. Galbraith, Christopher R. Haines, and Andrew Hurford, eds. Modeling Students' Mathematical Modeling Competencies. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6271-8.

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Lesh, Richard, Peter L. Galbraith, Christopher R. Haines, and Andrew Hurford, eds. Modeling Students' Mathematical Modeling Competencies. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-0561-1.

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McDuffie, Amy Roth, ed. Mathematical Modeling and Modeling Mathematics. National Council of Teachers of Mathematics, 2016.

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D, Johnson Peter, ed. Clay modelling for everyone: Pottery, sculpture and miniatures without a wheel. Search Press, 1991.

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Cugini, Umberto, and Michael Wozny, eds. From Geometric Modeling to Shape Modeling. Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35495-8.

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Bergé, Jean-Michel. Meta-Modeling: Performance and Information Modeling. Springer US, 1996.

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Jean-Michel, Bergé, Levia Oz, and Rouillard Jacques, eds. Meta-modeling: Performance and information modeling. Kluwer Academic Publishers, 1996.

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Capitoli di libri sul tema "Modeling"

1

Muller, Pierre-Alain, Frédéric Fondement, and Benoît Baudry. "Modeling Modeling." In Model Driven Engineering Languages and Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04425-0_2.

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Lutz, Herb. "UF Modeling (Ultrafiltration Modeling)." In Encyclopedia of Membranes. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-44324-8_1208.

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Jordan, Gregory. "Modeling." In Practical Neo4j. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0022-3_3.

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Figueras, Joan. "Modeling." In Low Power Design in Deep Submicron Electronics. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5685-5_4.

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Oono, Yoshitsugu. "Modeling." In The Nonlinear World. Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54029-8_4.

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Bestaoui Sebbane, Yasmina. "Modeling." In Lighter than Air Robots. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2663-5_2.

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Torbert, Shane. "Modeling." In Applied Computer Science. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1888-7_7.

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Kopetz, Hermann. "Modeling." In Simplicity is Complex. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20411-2_4.

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Verschuur, Gerrit L. "Modeling." In Interstellar Matters. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-4522-3_15.

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Li, Tatsien, Yongji Tan, Zhijie Cai, Wei Chen, and Jingnong Wang. "Modeling." In SpringerBriefs in Mathematics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41425-1_1.

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Atti di convegni sul tema "Modeling"

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Tiller, Michael, Cleon Davis, Hubertus Tummescheit, and Nizar Trigui. "Powertrain Modeling With Modelica." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2352.

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Abstract In this paper we will describe the development of models for prediction of powertrain performance. Our goal is to develop a library of components to model combustion, gas dynamics and mechanical response. We will also demonstrate the ease with which we can replace traditional component models (e.g., mechanically actuated valves) with non-traditional component models (e.g., electro-mechanically actuated valves) without having to change or reformulate any of the other components in our system. The models were developed using the Modelica modeling language (Modelica Design Group, 1999) w
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Batteh, John, Jesse Gohl, James Ferri, et al. "Material Production Process Modeling with Automated Modelica Models from IBM Rational Rhapsody." In American Modelica Conference 2022, Dallas, October 26-28. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp21186158.

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This paper describes a method to author dynamic simulation models in Modelica from a manufacturing architectural model structure in SysML. Modelica models are generated from IBM Rational Rhapsody and simulated using Modelon Impact. Following a brief overview of the overall modeling approach and tool coupling, the Modelica modeling is detailed for computing process throughput and processing time. Following the model overview, a sample application for the production of the pharmaceutical ingredient atropine is demonstrated.
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Baharev, Ali, and Arnold Neumaier. "Chemical Process Modeling in Modelica." In 9th International MODELICA Conference, Munich, Germany. Linköping University Electronic Press, 2012. http://dx.doi.org/10.3384/ecp12076955.

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Radil, Lukas, Petr Mastny, and Jan Machacek. "Modeling Vanadium Redox Battery in Modelica." In 2014 15th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2014. http://dx.doi.org/10.1109/epe.2014.6839505.

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Hailiang Zhang, Zhuoping Yu, Zaimin Zhong, Bonian Wu, and Xinbo Chen. "Modelica based modeling of automotive transmission." In 2014 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific). IEEE, 2014. http://dx.doi.org/10.1109/itec-ap.2014.6940686.

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Drogies, Stefan, and Michael Bauer. "Modeling Road Vehicle Dynamics with Modelica." In SAE 2002 World Congress & Exhibition. SAE International, 2002. http://dx.doi.org/10.4271/2002-01-1219.

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Binder, William, Christiaan Paredis, and Humberto Garcia. "Hybrid Energy System Modeling in Modelica." In the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden. Linköping University Electronic Press, 2014. http://dx.doi.org/10.3384/ecp14096979.

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Kuric, Muhamed, Nedim Osmic, and Adnan Tahirovic. "Multirotor Aerial Vehicle modeling in Modelica." In The 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017. Linköping University Electronic Press, 2017. http://dx.doi.org/10.3384/ecp17132373.

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Qasem, Montaser A., Ali Dhaw Aljadi, and Ezzedin Muftah Enbiah. "Modeling Directional Overcurrent Relays using Modelica." In 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE, 2023. http://dx.doi.org/10.1109/mi-sta57575.2023.10169427.

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Tiller, Michael M. "Modeling Supply and Demand in Modelica." In The 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019. Linköing University Electronic Press, 2019. http://dx.doi.org/10.3384/ecp19157365.

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Rapporti di organizzazioni sul tema "Modeling"

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Holtzman, Lilliane, Thomas Stanton, and Maureen Psaila-Dombrowski. RCWG Modeling Symposium - Matrix Modeling &amp; Risk Modeling Overview. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2568635.

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Wahid, Shahriar, Susan Cuddy, Aditya Bastola, Arun Shrestha, and Auro Almeida. Gender equality, disability and social inclusion in water modelling: A practitioners’ toolkit. International Centre for Integrated Mountain Development (ICIMOD), 2024. https://doi.org/10.53055/icimod.1070.

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The toolkit consists of two modules that guide modeling practices or training delivery, including recommendations for training format, duration, and breaks. It is organized to support typical water modeling processes and includes practical guides, tips for further learning, examples, and practice exercises for individuals or groups to achieve GEDSI in water modeling. The toolkit aims to help users: Understand the benefits of incorporating Gender Equality, Disability, and Social Inclusion (GEDSI) into water modelling, recognizing its value in addressing complex water management challenges. Comp
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Naylor, Bruce, David Ress, and Risto Miikkulainen. Neurometric Modeling: Computational Modeling of Individual Brains. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada547370.

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Fortner, Jeff, Scott Painter, Vineet Kumar, and Riley Cumberland. GDSA - Modeling and Integration – ORNL: PFLOTRAN modeling. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1909111.

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Acemoglu, Daron, and Pascual Restrepo. Modeling Automation. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24321.

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Hengartner, Nicolas W. Predictive modeling. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1092430.

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Gupta, Pradeep K. Tribological Modeling. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada372092.

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Laganelli, A. L., and S. M. Dash. Turbulence Modeling. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada415956.

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Christiano, Lawrence, Martin Eichenbaum, and Charles Evans. Modeling Money. National Bureau of Economic Research, 1998. http://dx.doi.org/10.3386/w6371.

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Plimpton, Steven James, Julieanne Heffernan, Darryl Yoshio Sasaki, Amalie Lucile Frischknecht, Mark Jackson Stevens, and Laura J. Douglas Frink. Modeling biomembranes. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/875627.

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