Relevant bibliographies by topics / Input modeling

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

Academic literature on the topic 'Input modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Input modeling"

1

Pearson, Ronald K. "Nonlinear Input/Output Modeling." IFAC Proceedings Volumes 27, no. 2 (1994): 1–15. http://dx.doi.org/10.1016/s1474-6670(17)48122-5.

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Johnson, Mark E., and Mansooreh Mollaghasemi. "Simulation input data modeling." Annals of Operations Research 53, no. 1 (1994): 47–75. http://dx.doi.org/10.1007/bf02136826.

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Biller, Bahar, and Canan Gunes Corlu. "Copula-based multivariate input modeling." Surveys in Operations Research and Management Science 17, no. 2 (2012): 69–84. http://dx.doi.org/10.1016/j.sorms.2012.04.001.

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FUKUYAMA, HIROFUMI, and WILLIAM L. WEBER. "MODELING OUTPUT GAINS AND EARNINGS' GAINS." International Journal of Information Technology & Decision Making 04, no. 03 (2005): 433–54. http://dx.doi.org/10.1142/s0219622005001659.

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In this paper, we examine the potential gains in physical outputs or earnings on outputs from an optimal reallocation of inputs. When some decision-making units (DMUs) face higher input prices than other DMUs, the Farrell decomposition of cost efficiency can potentially indicate that a firm with lower overall costs of production is less efficient than a firm that uses fewer physical inputs, but has higher costs. We extend our gain functions accounting for cases where DMUs face different input prices. An empirical illustration of our method is provided using data on Japanese banks operating dur
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SHIEBER, STUART M., and RANI NELKEN. "Abbreviated text input using language modeling." Natural Language Engineering 13, no. 2 (2006): 165–83. http://dx.doi.org/10.1017/s1351324906004311.

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We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on mobile computing devices or by disabled users), by taking advantage of the informational redundancy in natural language. Previous approaches to this problem have been based on the idea of prediction of the text, but these require the user to take overt action to verify or select the system's predictions. We propose taking advantage of the duality between prediction and compression. We allow the user to enter text in compressed form, in particular, using a simple stipula
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Martínez-Pinedo, Gabriel. "Nuclear structure input for supernova modeling." Nuclear Physics A 746 (December 2004): 323–29. http://dx.doi.org/10.1016/j.nuclphysa.2004.09.069.

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Jackson, Randall W. "Probabilistic input-output analysis: Modeling directions." Socio-Economic Planning Sciences 23, no. 1-2 (1989): 87–95. http://dx.doi.org/10.1016/0038-0121(89)90049-9.

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Rai, Amit, and Kazuki Saito. "Omics data input for metabolic modeling." Current Opinion in Biotechnology 37 (February 2016): 127–34. http://dx.doi.org/10.1016/j.copbio.2015.10.010.

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Kim, Sanghong, Manabu Kano, Hiroshi Nakagawa, and Shinji Hasebe. "Input variable scaling for statistical modeling." Computers & Chemical Engineering 74 (March 2015): 59–65. http://dx.doi.org/10.1016/j.compchemeng.2014.12.016.

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Su, Yi, and Kooresh I. Shoghi. "Single-Input–Dual-Output Modeling of Image-Based Input Function Estimation." Molecular Imaging and Biology 12, no. 3 (2009): 286–94. http://dx.doi.org/10.1007/s11307-009-0273-5.

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Dissertations / Theses on the topic "Input modeling"

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Bailey, Robert Reid. "Input-output modeling of material flows in industry." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/19104.

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Choi, Taelim. "Economic and environmental input-output modeling: building material recycling." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45924.

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A key dimension to improving urban economic and environmental sustainability is the efficient use of resources through recycling. A thriving recycling system requires not only effective institutional policies and community-wide diversion efforts, but also a competent local and regional recycling industry. Although the recycling industry has traditionally been recognized as a local service and fringe industry, it has noticeably transformed into an integral segment of industrial production systems as manufacturers have increasingly begun to adopt the principle of extended producer responsibility
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Yu, Kai. "Modeling of Multiple-Input Multiple-Output Radio Propagation Channels." Licentiate thesis, KTH, Signals, Sensors and Systems, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1478.

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<p>In recent years, multiple-input multiple-output (MIMO)systems appear to be very promising since they can provide highdata rates in environments with sucient scattering byexploiting the spatial domain. To design a real MIMO wirelesssystem and predict its performance under certain circumstances,it is necessary to have accurate MIMO wireless channel modelsfor dierent scenarios. This thesis presents dierent models forindoor MIMO radio propagation channels based on 5.2 GHz indoorMIMO channel measurements.The recent research on MIMO radio channel modeling isbriey reviewed in this thesis. The mode
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Haim, Hoffer Fiorella Geraldine. "Integrated input modeling and memory management for image processing applications." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/3235.

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Thesis (M.S.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Dept. of Electrical and Computer Engineering . Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Donovan, Marty Edwin. "AN AUTOMATED PROCEDURE FOR STOCHASTIC SIMULATION INPUT MODELING WITH BEZIER DISTRIBUTIONS." NCSU, 1998. http://www.lib.ncsu.edu/theses/available/etd-19980908-212432.

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<p>As a means of handling the problem of input modeling forstochastic simulation experiments, we build upon previous workof Wagner and Wilson using Bézier distributions. Wagner andWilson proposed a likelihood ratio test to determine how manycontrol points (that is, parameters) a Bézier distributionshould have to adequately model sample data. In this thesis, weextend this input-modeling methodology in two directions. First,we establish the asymptotic properties of the Likelihood RatioTest (LRT) as the sample size tends to infinity. The asymptoticanalysis applies only to maximum likelihood estim
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Rojas-Ramirez, Belem Isabel. "Modeling and control of aerial vehicles using teleoperation with input delay." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2568.

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Les UAVs suscitent un intérêt croissant de la part de l’industrie et des universités en raison de leur large application dans la recherche et le sauvetage, l’inspection des infrastructures, la surveillance, entre autres. Cette thèse se concentre sur la recherche dans le domaine des systèmes de téléopération pour véhicules quadrirotor. Tout au long de cette thèse, un système de téléopération pour un véhicule quadrirotor a été développé. Dans ce système, l’interface utilisateur est basée sur une approche de téléprésence virtuelle. Des algorithmes de contrôle ont été développés et mis en œuvre da
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Kim, Sanghong. "Statistical Modeling Method for Efficiency Improvement of Industrial Processes." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188626.

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Harrysson, Frida. "Simulation as a means of providing input to the CSMT." Thesis, Uppsala University, Department of Information Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-125668.

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<p>The Collaborative Synchronization Management Tool (CSMT) is an analysis tool that enables morphological and statistical analysis of plans. Input to the CSMT consists of a Cross Impact Matrix (CIM) where the relationships between the different activities of a plan are reflected as its values. This thesis proposes Modeling and Simulation as an alternative method of generating the CIM-values. The usage of this method will hopefully increase traceability and limit subjectivity, and it will also be less time-consuming. Determining the level of detail of the models was shown to be a challenge, as
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Joy, Karen Lynn. "Evaluating input variable effects of an artificial neural network modeling facial attractiveness /." Also available to VCU users online at:, 2005. http://hdl.handle.net/10156/1253.

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Kim, Dae Hyun [Verfasser]. "A Sketch-Based Modeling Interface for Pen-Input Displays / Dae Hyun Kim." Aachen : Shaker, 2004. http://d-nb.info/1181604958/34.

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Books on the topic "Input modeling"

1

Tchijov, Iouri, and Lucja Tomaszewicz, eds. Input-Output Modeling. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-22033-7.

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Smyshlyaev, Anatoli, ed. Input-Output Modeling. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-22035-1.

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International Institute for Applied Systems Analysis. Task Force Meeting on Input-Output Modeling. Input-output modeling: Proceedings of the Fifth IIASA Task Force Meeting on Input-Output Modeling. Springer-Verlag, 1985.

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4

Haber, Robert. Nonlinear system identification: Input-output modeling approach. Kluwer Academic Publishers, 1999.

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Haber, Robert, and László Keviczky. Nonlinear System Identification — Input-Output Modeling Approach. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4481-0.

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Buchholz, Peter, Jan Kriege, and Iryna Felko. Input Modeling with Phase-Type Distributions and Markov Models. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06674-5.

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The Egyptian economy: A modeling approach. Praeger, 1996.

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8

A, Chizhov I͡U︡, and Tomaszewicz L, eds. Input-output modeling: Proceedings of the Sixth IIASA (International Institute for Applied Systems Analysis) Task Force Meeting on Input-Output Modeling, held in Warsaw, Poland, December 16-18, 1985. Springer-Verlag, 1987.

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9

Wang, Zhi. A flexible modeling framework to estimate interregional trade patterns and input-output accounts. World Bank, 2004.

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10

Hoffman, Roald. Input-Output modeling: Proceedings of the fifth IIASA (International Institute for Applied (Systems Analysis) Task Force Meeting on Input-Output Modeling, held at Laxenburg, (Austria, October 4-6, 1984. Springer-Verlag, 1985.

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Book chapters on the topic "Input modeling"

1

Trapp, Stefan, and Michael Matthies. "Data Input." In Chemodynamics and Environmental Modeling. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80429-8_16.

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Zheng, Xiaolian, and Ben M. Chen. "Market Input Analysis." In Stock Market Modeling and Forecasting. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5155-5_3.

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Labys, Walter C. "Input-Output Models." In Modeling Mineral and Energy Markets. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5101-0_7.

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Allen, Theodore T. "Input Analysis." In Introduction to Discrete Event Simulation and Agent-based Modeling. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-139-4_3.

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Wittwer, Glyn, Janine Dixon, and John Madden. "Beyond Regional Input–Output Modeling." In Multi-regional Dynamic General Equilibrium Modeling of the U.S. Economy. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58866-7_1.

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Pearson, R. K. "Input Sequences for Nonlinear Modeling." In Nonlinear Model Based Process Control. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5094-1_20.

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Anastasio, Thomas J. "Modeling Cerebellar Learning: Input Minimization." In Encyclopedia of Computational Neuroscience. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7320-6_264-2.

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Anastasio, Thomas J. "Modeling Cerebellar Learning: Input Minimization." In Encyclopedia of Computational Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_264.

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Gori, Marco, Marco Maggini, and Enrico Martinelli. "Web-Browser Access Through Voice Input and Page Interest Prediction." In User Modeling. Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2670-7_2.

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Börgers, Christoph. "Entrainment by Excitatory Input Pulses." In An Introduction to Modeling Neuronal Dynamics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51171-9_23.

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Conference papers on the topic "Input modeling"

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Leemis, Lawrence. "Simulation input modeling." In the 31st conference. ACM Press, 1999. http://dx.doi.org/10.1145/324138.324143.

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Iman, Ronald L. "Modeling input processes." In the 18th conference. ACM Press, 1986. http://dx.doi.org/10.1145/318242.318257.

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Cheng, Russell. "History of input modeling." In 2017 Winter Simulation Conference (WSC). IEEE, 2017. http://dx.doi.org/10.1109/wsc.2017.8247789.

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Hayati, Pedram, Nastaran Jafari, S. Mohammad Rezaei, Saeed Sarenche, and Vidyasagar Potdar. "Modeling Input Validation in UML." In 2008 19th Australian Conference on Software Engineering ASWEC. IEEE, 2008. http://dx.doi.org/10.1109/aswec.2008.4483260.

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Johnson, Mark E. "Modeling and generating input processes." In the 19th conference. ACM Press, 1987. http://dx.doi.org/10.1145/318371.318377.

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Biller, Bahar, and Canan Gunes. "Introduction to simulation input modeling." In 2010 Winter Simulation Conference - (WSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/wsc.2010.5679176.

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DeBrota, D. J., R. S. Dittus, J. J. Swain, S. D. Roberts, and J. R. Wilson. "Modeling input processes with Johnson distributions." In the 21st conference. ACM Press, 1989. http://dx.doi.org/10.1145/76738.76777.

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Schmeiser, Bruce. "Advanced input modeling for simulation experimentation." In the 31st conference. ACM Press, 1999. http://dx.doi.org/10.1145/324138.324173.

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Jiang, Wendy Xi, and Barry L. Nelson. "BETTER INPUT MODELING VIA MODEL AVERAGING." In 2018 Winter Simulation Conference (WSC). IEEE, 2018. http://dx.doi.org/10.1109/wsc.2018.8632239.

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Leemis, Lawrence M. "Input modeling for discrete-event simulation." In the 27th conference. ACM Press, 1995. http://dx.doi.org/10.1145/224401.224409.

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Reports on the topic "Input modeling"

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Augustine, Chad, and Nathan Blair. Storage Futures Study: Storage Technology Modeling Input Data Report. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1785959.

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Shen, Liam. Multiscale Deterministic Wave Modeling with Wind Input and Wave Breaking Dissipation. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada573209.

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Shen, Lian. Multiscale Deterministic Wave Modeling with Wind Input and Wave Breaking Dissipation. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada612024.

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Collin, Blaise Paul. GEN-IV Benchmarking of Triso Fuel Performance Models under accident conditions modeling input data. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1389200.

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Collin, Blaise P. Generation IV benchmarking of TRISO fuel performance models under accident conditions: Modeling input data. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1167537.

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Rothermel, Richard C., Ralph A. Wilson, Glen A. Morris, and Stephen S. Sackett. Modeling moisture content of fine dead wildland fuels: Input to the BEHAVE fire prediction system. U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1986. http://dx.doi.org/10.2737/int-rp-359.

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Dortch, Mark, and Billy Johnson. Evaluation of uncertainty in constituent input parameters for modeling the fate of IMX-101 components. Environmental Laboratory (U.S.), 2017. http://dx.doi.org/10.21079/11681/22568.

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Ramsdell, J. V., and K. W. Burk. Atmospheric transport modeling and input data for Phase 1 of the Hanford Environmental Dose Reconstruction Project. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5506065.

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Wharton, S., V. Bulaevskaya, Z. Irons, G. Qualley, J. F. Newman, and W. O. Miller. Wind Power Curve Modeling Using Statistical Models: An Investigation of Atmospheric Input Variables at a Flat and Complex Terrain Wind Farm. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1223839.

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Hoak, T. E., K. R. Sundberg, and P. Ortoleva. Calculation and interpretation of crustal shortening along the Central Basin Platform, West Texas: A method to calculate basement motion for modeling input. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/307855.

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