Relevant bibliographies by topics / Two stage modeling

Contents

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

Academic literature on the topic 'Two stage modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Two stage modeling"

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Bechtel, S. E., S. Vohra, and K. I. Jacob. "Modeling of a two-stage draw process." Polymer 42, no. 5 (2001): 2045–59. http://dx.doi.org/10.1016/s0032-3861(00)00535-8.

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Ramdoss, Prakash K., and Arthur R. Tarrer. "Modeling of Two-Stage Coal Coprocessing Process." Energy & Fuels 11, no. 1 (1997): 194–201. http://dx.doi.org/10.1021/ef960068t.

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Mathison, Margaret, James Braun, and Eckhard Groll. "Modeling of a Two-Stage Rotary Compressor." HVAC&R Research 14, no. 5 (2008): 719–48. http://dx.doi.org/10.1080/10789669.2008.10391036.

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Young, Denise. "Two-stage modeling of resource owner behaviour." Resources and Energy 13, no. 3 (1991): 263–84. http://dx.doi.org/10.1016/0165-0572(91)90009-r.

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Nor, Mohamed Ibrahim, Tajul Ariffin Masron, and Sharif Yusuf Gedi. "Modeling of residential property rents in Somalia using two-stage modeling." International Journal of Housing Markets and Analysis 13, no. 2 (2019): 331–56. http://dx.doi.org/10.1108/ijhma-04-2019-0042.

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Purpose Real estate is one of the fundamental growth engines for developing economies as it contributes urbanization and infrastructure development. In recent years, Somalia has witnessed massive real estate development in both housing and commercial buildings. The purpose of this study is twofold. First, the study examines the determinants of residential property rents. Second, it investigates whether residential property rents are fairly valued. Design/methodology/approach This study uses two-stage modeling. A hedonic regression model is used in the first stage, while an artificial neural ne
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Riva, Giulio, and Adolfo Reggiori. "Modeling of Pellet Acceleration by Two-Stage Guns." Fusion Technology 15, no. 2P1 (1989): 143–53. http://dx.doi.org/10.13182/fst89-a25352.

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Teryaev, Vladimir E., Sergey V. Shchelkunov, and Jay L. Hirshfield. "Innovative Two-Stage Multibeam Klystron: Concept and Modeling." IEEE Transactions on Electron Devices 67, no. 7 (2020): 2896–99. http://dx.doi.org/10.1109/ted.2020.2991681.

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Gelman, Andrew. "Two-Stage Regression and Multilevel Modeling: A Commentary." Political Analysis 13, no. 4 (2005): 459–61. http://dx.doi.org/10.1093/pan/mpi032.

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These articles demonstrate, in several different examples, the effectiveness of two-level regression: the procedure of fitting several separate regression models, and then fitting a second, higher-level, regression to the estimated coefficients (for example, fitting a separate regression model to survey data from each of several countries, then regressing the coefficient estimates on country-level predictors). For simplicity, we will refer to the first- and second-level units as “persons” and “countries,” respectively, but our points apply more generally.
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Zhai, Hao, Yan-Kui Liu, and Kai Yang. "Modeling two-stage UHL problem with uncertain demands." Applied Mathematical Modelling 40, no. 4 (2016): 3029–48. http://dx.doi.org/10.1016/j.apm.2015.09.086.

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Berrached, Djelloul, Amar Tilmatine, Farid Miloua, and Malika Bengrit. "Modeling of A Two Stages Electrostatic Air Precipitation Process using Response Surface Modeling." Archives of Electrical Engineering 63, no. 4 (2014): 609–19. http://dx.doi.org/10.2478/aee-2014-0042.

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Abstract Any industrial process needs to work with the optimal operating conditions and thus the evaluation of their robustness is a critical issue. A modeling of a laboratory-scale wire-to-plane two stages electrostatic precipitator for guiding the identification of the set point, is presented this in paper. The procedure consists of formulating recommendations regarding the choice of optimal values for electrostatic precipitation. A two-stages laboratory precipitator was used to carry out the experiments, with samples of wood particles of average granulometric size 10 µm. The parameters cons
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Dissertations / Theses on the topic "Two stage modeling"

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Leufvén, Oskar. "Compressor Modeling for Control of Automotive Two Stage Turbochargers." Licentiate thesis, Linköpings universitet, Fordonssystem, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-64342.

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There is a demand for increasing efficiency of automotive engines, and one way to achieve this is through downsizing and turbocharging. In the design compromises are made, for example the maximum power of the engine determines the size of the compressor, but since the compressor mass flow range is limited, this affects the torque for low engine speeds. A two stage system, with two different sized turbochargers, reduces this compromise, but the system complexity increases. To handle the complexity, models have come to play a central role where they aid engineers in the design. Models are used i
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Luo, Yamin. "System modeling and control design of a two-stage metering poppet-valve system." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4453.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2006.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on July 18, 2008) Vita. Includes bibliographical references.
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Wong, Cheuk-pong, and 黃卓邦. "An iterative two-stage approach to modeling vacant taxi movements : formulations and implications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206361.

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Zhan, Zhifeng. "Numerical modeling of delayed and progressive failure in stiff clays with two-stage softening behaviour." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/124701.

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Based on the laboratory, field and numerical results, the post-rupture strength defined firstly by Burland (1990) is verified and introduced in this thesis to describe the two-stage post-peak strain-softening characteristics of stiff clays. The first softening stage is induced by the loss of interbonding between particles, i.e. the cohesive component of strength at relatively small displacement and hence termed as cementation loss; while the second is due to the gradual realignment, i.e. reorientation of clay particles at large displacements and can be called as gradual frictional resistan
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Varnier, Olivier Nicolás. "Trends and Limits of Two-Stage Boosting Systems for Automotive Diesel Engines." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/16880.

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Internal combustion engines developments are driven by emissions reduction and energetic efficiency increase. To reach the next standards, downsized/downspeeded engines are required to reduce fuel consumption and CO2 emissions. These techniques place an important demand on the charging system and force the introduction of multistage boosting architectures. With many possible arrangements and large number of parameter to optimize, these architectures present higher complexity than current systems. The objective of this thesis has thus been to investigate the potential of two-stage boosting arch
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Neelakantan, Vijay Anand. "Modeling, design, testing and control of a two-stage actuation mechanism using piezoelectric actuators for automotive applications." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1127236489.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xvii, 213 p.; also includes graphics (some col.). Includes bibliographical references (p. 206-213). Available online via OhioLINK's ETD Center
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Neelakantan, Vijay. "Modeling, design, testing and control of a two-stage actuation mechanism using piezoelectric actuators for automotive applications." The Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1127236489.

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Hibler, David A. "Development of a Two-Stage Computational Modeling Method for Drinking Water Microbial Ecology Effects on Legionella pneumophila Growth." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595509673321504.

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Kim, Rae-Young. "Improved renewable energy power system using a generalized control structure for two-stage power converters." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28932.

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The dissertation presents a generalized control structure for two-stage power converters operated in a renewable energy power system for smart grid and micro grid systems. The generalized control structure is based on the two-loop average-mode-control technique, and created by reconstructing the conventional control structure and feedback configuration. It is broadly used for both dc-dc and dc-ac power conversion based on the two-stage converter architecture, while offering several functionalities required for renewable energy power systems. The generalized control structure improves the perfo
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Li, Zhuobin. "SCHISTOSOMIASIS TRANSMISSION AND CONTROL IN A DISTRIBUTED HETEROGENEOUS HUMAN-SNAIL ENVIRONMENT IN COASTAL KENYA." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1200507396.

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Books on the topic "Two stage modeling"

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Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation,
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Tregub, Ilona, and Tat'yana Goroshnikova. A simulation model of decision-making. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1030572.

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A tutorial on the basics of simulation modelling in problems of managerial decision-making, illustrated by numerous practical examples. Contains material contributing to the deepening of theoretical knowledge and practical skills of the student in the application of computer simulation modeling of economic, social and technological systems for the formation, adoption and implementation of managerial decisions.&#x0D; Meets the requirements of Federal state educational standards of higher education of the last generation.&#x0D; Intended for graduate students in the study of disciplines "Mathemat
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Schnipke, Deborah L. Modeling item response times with a two-state mixture model: A new approach to measuring speededness. Law School Admission Council, 1999.

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Bashkatov, Alexander. Modeling in OpenSCAD: examples. INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/959073.

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The tutorial is an introductory course to the study of the basics of geometric modeling for 3D printing using the programming language OpenSCAD and is built on the basis of descriptions of instructions for creating primitives, determining their properties, carrying out transformations and other service operations. It contains a large number of examples with detailed comments and description of the performed actions, which allows you to get basic skills in creating three-dimensional and flat models, exporting and importing graphical data.&#x0D; Meets the requirements of the Federal state educat
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Babeshko, Lyudmila, Mihail Bich, and Irina Orlova. Econometrics and econometric modeling. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1141216.

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The textbook covers a wide range of issues related to econometric modeling. Regression models are the core of econometric modeling, so the issues of their evaluation, testing of assumptions, adjustment and verification are given a significant place. Various aspects of multiple regression models are included: multicollinearity, dummy variables, and lag structure of variables. Methods of linearization and estimation of nonlinear models are considered. An apparatus for evaluating systems of simultaneous and apparently unrelated equations is presented. Attention is paid to time series models. Deta
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author, Sarich Marco 1985, ed. Metastability and Markov state models in molecular dynamics: Modeling, analysis, algorithmic approaches. American Mathematical Society, 2013.

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Lyang, Viktor. CAD programming: Spatial modeling of a column apparatus in the Autodesk Inventor environment. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/991773.

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The tutorial describes in detail the creation of an external subsystem for Autodesk Inventor in the high-level language C# Microsoft Visual Studio of the column apparatus. Such issues as working in the Microsoft Visual Studio 2010 programming environment, connecting the library of functions of the Autodesk Inventor API to an external user subsystem, spatial solid-state modeling of elements of a column apparatus, saving constructed objects, assembling the apparatus from stored modules by the interface method of surfaces are considered.&#x0D; Meets the requirements of the federal state education
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Chemodurov, Vladimir, and Ella Litvinova. Physical and mathematical modeling of building systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1014191.

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Physical and mathematical modeling is widely used in scientific research. This is due to the fact that field experiments on real construction sites are often impossible to organize for various reasons. The material included in the textbook is a summary of the authors ' experience in the field of system analysis. In the first section, the regularities of physical modeling of the functioning of objects based on the similarity and dimension theorems are considered. The second section presents modern models and methods for choosing optimal solutions: linear, nonlinear, stochastic, and statistical.
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Beilin, Igor'. Modeling of innovative production development of oil and gas regions. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1090340.

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The monograph presents new and improved methodological approaches to modeling the economic efficiency of innovative production processes in oil and gas regions on the example of the Volga Federal district. The results of the study may be in demand in the professional activities of state authorities at both the regional and Federal levels, as well as top management of budget-forming oil and gas companies and companies interacting with them. The materials of the monograph are recommended for use in the educational process of bachelor's and master's degrees in the areas of "Economics", "Managemen
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Babeshko, Lyudmila, and Irina Orlova. Econometrics and econometric modeling in Excel and R. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1079837.

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The textbook includes topics of modern econometrics, often used in economic research. Some aspects of multiple regression models related to the problem of multicollinearity and models with a discrete dependent variable are considered, including methods for their estimation, analysis, and application. A significant place is given to the analysis of models of one-dimensional and multidimensional time series. Modern ideas about the deterministic and stochastic nature of the trend are considered. Methods of statistical identification of the trend type are studied. Attention is paid to the evaluati
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Book chapters on the topic "Two stage modeling"

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Hannon, Bruce, and Matthias Ruth. "Two-Stage Insect Model." In Dynamic Modeling. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0211-7_15.

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Hannon, Bruce, and Matthias Ruth. "The Two-Stage Insect Model." In Dynamic Modeling. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-25989-4_14.

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Hannon, Bruce, and Matthias Ruth. "The Two-Stage Insect Model." In Dynamic Modeling. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4684-0224-7_14.

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Hannon, Bruce, and Matthias Ruth. "Two-Stage Nutrient Uptake." In Modeling Dynamic Biological Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05615-9_8.

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Ruth, Matthias, and Bruce Hannon. "Two-Stage Nutrient Uptake Model." In Modeling Dynamic Biological Systems. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0651-4_8.

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Walstad, William B. "Applying Two-Stage Least Squares." In International Series in Economic Modeling. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3271-5_7.

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Albin Rajasingham, Thivaharan. "Two-Stage Turbocharging: Modeling and Analysis." In Nonlinear Model Predictive Control of Combustion Engines. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68010-7_12.

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Zhang, Yongtai, Shihong Deng, Zhihong Liu, and Yongtao Wang. "Aesthetic QR Codes Based on Two-Stage Image Blending." In MultiMedia Modeling. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14442-9_16.

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Ruszczyński, Andrzej, and Alexander Shapiro. "Chapter 2: Two-Stage Problems." In Lectures on Stochastic Programming: Modeling and Theory, Second Edition. Society for Industrial and Applied Mathematics, 2014. http://dx.doi.org/10.1137/1.9781611973433.ch2.

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Ruszczyński, Andrzej, and Alexander Shapiro. "Chapter 2: Two-Stage Problems." In Lectures on Stochastic Programming: Modeling and Theory, Third Edition. Society for Industrial and Applied Mathematics, 2021. http://dx.doi.org/10.1137/1.9781611976595.ch2.

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Conference papers on the topic "Two stage modeling"

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da Silva, Nastasha Salame, and Antonio Simoes Costa. "Two-stage hierarchical state estimation based on local substation modeling." In 2015 IEEE Eindhoven PowerTech. IEEE, 2015. http://dx.doi.org/10.1109/ptc.2015.7232668.

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Gruhn, Volker, and Thomas Richter. "Two-Stage Process Modeling for Simulation in BPR." In 2009 First International Conference on Advances in System Simulation (SIMUL). IEEE, 2009. http://dx.doi.org/10.1109/simul.2009.18.

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Xiaohua Shu, Xiyu Xiao, Yunfei Zhong, Yonghong Long, and Guangsheng Zeng. "Background modeling methods based on two-stage strategy." In IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.2328.

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Mohammad, Pouryusef, Tohidi Ghasem, and Razavyan Shabnam. "Two-stage data envelopment analysis with imprecise data." In 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization (ICMSAO). IEEE, 2011. http://dx.doi.org/10.1109/icmsao.2011.5775540.

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Rahman, Kazi Mustafizur, Nadir Hakem, and Biki Barua. "Self-interference mitigation in two-hop relay using two stage projection algorithms." In 2017 International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN). IEEE, 2017. http://dx.doi.org/10.23919/pemwn.2017.8308035.

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Si-Yuan Shen, Yan-Kui Liu, and Xue-Jie Bai. "Modeling location-allocation problem by two-stage fuzzy programming." In 2009 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2009. http://dx.doi.org/10.1109/icmlc.2009.5212385.

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Semenov, Andriy O., Anton Yu Savytskyi, Oleg V. Bisikalo, and Pavlo I. Kulakov. "Mathematical modeling of the two-stage chaotic colpitis oscillator." In 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). IEEE, 2018. http://dx.doi.org/10.1109/tcset.2018.8336327.

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Blaer, Paul S., and Peter K. Allen. "Two Stage View Planning for Large-Scale Site Modeling." In Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06). IEEE, 2006. http://dx.doi.org/10.1109/3dpvt.2006.143.

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Shu, Yong, and Michiel van Nieuwstadt. "Two-Stage Turbocharger Modeling for Engine Control and Estimation." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43041.

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The increasingly stringent emissions regulations and needs for higher power density for both turbo-diesel passenger vehicle and commercial vehicles have demanded significant alterations to the basic architecture of turbochargers. An attractive option for providing a high-boost system is the use of two-stage turbocharger which consists of two different size turbochargers connected in series that may or may not utilize bypass regulation. The exhaust mass flow is expanded by the high pressure turbine to the low pressure turbine, and on the other side the air flow is compressed through the low pre
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Ni, Xianglong, Jianmin Zhao, Xinghui Zhang, Xin Lv, and Jinsong Zhao. "System degradation process modeling for two-stage degraded mode." In 2014 Prognostics and System Health Management Conference (PHM-2014 Hunan). IEEE, 2014. http://dx.doi.org/10.1109/phm.2014.6988160.

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Reports on the topic "Two stage modeling"

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Longcope, D. B. Jr. Modeling of the second stage of the STAR 1.125 inch two-stage gas gun. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10151553.

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Thompson, William L., and Danny C. Lee. A Two-Stage Information-Theoretic Approach to Modeling Landscape-Level Attributes and Maximum Recruitment of Chinook Salmon in the Columbia River Basin. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/783956.

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Stuhmiller, James H. Modeling of the Non-Auditory Response to Blast Overpressure. The State of Modeling Blast Injury. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada223667.

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Mohs, John C. Applications of Molecular Modeling to Transition State Energies and Conformations. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada257130.

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Baltich, L. K. Mathematical modeling of two-state classification technology transfer summary and user's guide. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/5803282.

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Fox, K. M. Chemical analysis of simulated high level waste glasses to support stage III sulfate solubility modeling. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1244067.

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GA Young, R Najafabadi, W Strohmayer, et al. Applications of Ab Initio Modeling to Materials Science: Grain Boundary Cohesion and Solid State Diffusion. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/824871.

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Comolli, A. G., E. S. Johanson, L. K. Lee, G. A. Popper, and T. O. Smith. Catalytic Two-Stage Liquefaction (CTSL{trademark}) process: Laboratory scale studies modelling and technical assessment. Final report, [October 1, 1988--June 30, 1993]. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10132028.

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Dahl, Travis, Justin Giles, Kathleen Staebell, David Biedenharn, and Joseph Dunbar. Effects of geologic outcrops on long-term geomorphic trends : New Madrid, MO, to Hickman, KY. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41086.

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The Mississippi River between New Madrid, MO, and Hickman, KY, is of particular interest because of divergent trends in water surface profiles at the upstream and downstream ends of the reach. This report documents the investigation of the bathymetry, geology, and hydraulics of this segment of the river. The report shows that the area near River Mile 901 above Head of Passes strongly affects the river stages at low flows. This part of the river can experience high shear stresses when flows fall below 200,000 cfs, as opposed to most other locations where shear stress increases with flow. One-di
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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic f
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