Relevant bibliographies by topics / Modeling analyses

Academic literature on the topic 'Modeling analyses'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Modeling analyses"

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Frakes, L. A. "Paleoclimate analyses and modeling." Palaeogeography, Palaeoclimatology, Palaeoecology 57, no. 2-4 (December 1986): 340–41. http://dx.doi.org/10.1016/0031-0182(86)90022-2.

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Chansilp, Kacha, Paradee Chuaybamroong, Kittisak Kerdprasop, and Nittaya Kerdprasop. "On Modeling Smoke-Haze Incidence with Cluster and Regression Analyses." International Journal of Machine Learning and Computing 10, no. 6 (December 2020): 771——776. http://dx.doi.org/10.18178/ijmlc.2020.10.6.1004.

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Ghassemi, K., W. Conway, and J. Hines. "System Modeling Through Parametric Spreadsheet Analyses." INCOSE International Symposium 4, no. 1 (August 1994): 400–406. http://dx.doi.org/10.1002/j.2334-5837.1994.tb01734.x.

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Lames, M., and D. Plück. "Modeling soccer matches by recurrence analyses." IFAC-PapersOnLine 48, no. 1 (2015): 788–89. http://dx.doi.org/10.1016/j.ifacol.2015.05.181.

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Broman, David. "Interactive Programmatic Modeling." ACM Transactions on Embedded Computing Systems 20, no. 4 (June 2021): 1–26. http://dx.doi.org/10.1145/3431387.

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Modeling and computational analyses are fundamental activities within science and engineering. Analysis activities can take various forms, such as simulation of executable models, formal verification of model properties, or inference of hidden model variables. Traditionally, tools for modeling and analysis have similar workflows: (i) a user designs a textual or graphical model or the model is inferred from data, (ii) a tool performs computational analyses on the model, and (iii) a visualization tool displays the resulting data. This article identifies three inherent problems with the traditional approach: the recomputation problem, the variable inspection problem, and the model expressiveness problem. As a solution, we propose a conceptual framework called Interactive Programmatic Modeling. We formalize the interface of the framework and illustrate how it can be used in two different domains: equation-based modeling and probabilistic programming.
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Sampaio, Alcinia Zita, and Augusto Martins Gomes. "BIM Interoperability Analyses in Structure Design." CivilEng 2, no. 1 (February 14, 2021): 174–92. http://dx.doi.org/10.3390/civileng2010010.

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The building information modelling (BIM) methodology supports collaborative works, based on the centralization of all information in a federated BIM model and on an efficient level of interoperability between BIM-based platforms. Concerning the structure design, the interoperability capacity of the most used software presents limitations that must be identified and alternative solutions must be proposed. This study analyzes the process of transfer of structure models between modeling and structure analysis tools. Distinct building cases were performed in order to recognize the type of limitations verified in the transfer processes concerning two-way data flow between several software. The study involves the modeling software ArchiCAD 2020, Revit 2020, and AECOsim 2019 and the structure analyzes tools SAP 2020, Robot 2020, and ETABS 22020. The transfer processes are realized in two ways: using the native data format; using a universal standard data transfer, the Industry Foundation Classes (IFC) format. The level of maturity of BIM in structure design is still relatively low, caused essentially by interoperability problems, but despite the limitations detected, this study shows throughout the development of several building case, that the methodology has clear advantages in the development of the structure project.
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Preszler, Jonathan, and Maria A. Gartstein. "Latent state-trait modeling." International Journal of Behavioral Development 42, no. 4 (December 6, 2017): 445–52. http://dx.doi.org/10.1177/0165025417743066.

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Questions concerning longitudinal stability and multi-method consistency are critical to temperament research. Latent State-Trait (LST) analyses address these directly, and were utilized in this study. Thus, our primary objective was to apply LST analyses in a temperament context, using longitudinal and multi-method data to determine the amount of trait vs. state variance, as well as convergence for measures of Distress to Limitations (DL) facets. Mothers’ ratings and independent observations of DL behaviors collected on two occasions (8 months old and 12 months old) for 148 infants (49.2% female) were utilized. Single source latent state-trait (LST) analyses indicated that parent ratings of DL behavior (PDL) contained more trait ( M = 61%) than state residual ( M = 39%) variance, whereas independent observations (IO) of DL behavior contained substantially more state residual (75%) than trait (25%) variance. A multiple source LST analysis indicated virtually zero convergence for either trait or state residual variance between PDL and IO ratings ( M = 2%). In conclusion, PDL ratings were more trait-like across the 4-month interval, whereas IO ratings of DL were more state-like in nature. Also, no convergence was found between the two methods of measurement. Results are discussed with an emphasis on implications for the utility of LST analyses in temperament research.
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Riley, Matthew E., Ramana V. Grandhi, and Raymond Kolonay. "Quantification of Modeling Uncertainty in Aeroelastic Analyses." Journal of Aircraft 48, no. 3 (May 2011): 866–73. http://dx.doi.org/10.2514/1.c031059.

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Ibrahim, Medhat, Abdel Mahmoud, Osama Osman, Walid El-hotaby, Ahmed Fakhry, Zainab Aziz, and Hanan Elhaes. "Modeling and Molecular Spectroscopic Analyses of Cellulose." Journal of Applied Solution Chemistry and Modeling 3, no. 3 (September 19, 2014): 159–63. http://dx.doi.org/10.6000/1929-5030.2014.03.03.3.

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Doh, Saeran. "Game Modeling Using Neural and Behavioral Analyses." Journal of Business 3, no. 1 (April 30, 2018): 1–4. http://dx.doi.org/10.31152/jb.2018.04.3.1.1.

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Dissertations / Theses on the topic "Modeling analyses"

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Næss, Kjetil Holter. "Modeling of Safety Barriers in Risk Analyses." Thesis, Norges Teknisk-Naturvitenskaplige Universitet, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-21067.

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In recent years, the concept of safety barriers has become increasingly popular in regulations and standards for the offshore oil and gas industry, both in Norway and internationally. There are requirements from the Petroleum Safety Authority Norway and operators in the oil and gas industry that the condition of both technical and human/organizational safety barriers on installations should be reflected in risk analyses. However, implementing this in a manner which supports appropriate analysis- and decision making processes has proved to be difficult. The peformance of barriers is often not explicitly modeled in analyses, and human/organizational aspects are often not addressed in detail. This master thesis examines how safety barriers can be modeled in risk analyses, and to which level of detail this can be achieved. A comprehensive literature review is performed in order to examine how the concept of safety barriers is defined, and which barrier properties are used to categorize and measure the performance of barriers. In addition, relevant standards and guidelines for the offshore oil and gas industry are reviewed in order to identify which barriers are important for offshore operations. A brief case study of blowouts is performed to illustrate how safety barriers are implemented on oil and gas installations.Methods and techniques for modeling safety barriers in risk analyses are reviewed and presented. The different objectives of risk analysis, and the relevant barrier properties for risk analyses, are discussed. The tools developed in "Barrier and Operational Risk Analysis", "Hybrid Causal Logic in Offshore Risk Analysis" and "Risk Modelling - Integration of Organizational, Human and Technical Factors" are included in the discussion. The current approach for quantitative risk analysis in DNV is presented briefly. Based on these discussions, two main suggestions for improvement are identified:1. Include relevant barrier functions for each scenario as events in event tree models.2. When appropriate and practicable, the technical and human/organizational condition of barriers should be taken into account using fault tree and/or Risk Influence Diagram/ Bayesian Belief Network models.Safety barriers should be included more consistently in event trees in order to better illustrate the effect of barriers on major accident risk, and to allow for explicit modeling of the barrier systems implemented to perform each barrier function. Fault tree and bayesian belief network analysis can be applied to model both the technical and human/organizational condition of barrier systems.It is suggested that simplified methods for adjusting industry average probabilities are applied for the modeling of risk influencing factors. Because of the massive workload and amount of data required for detailed statistical modeling of each risk influencing factor, these simplified methods are considered to be a more feasible alternative.While it may seem inappropriate to tamper with probabilities which are based on historical data, it is important to consider whether the historical data accurately reflects the object under analysis. If conditions differ from the industry average, industry average numbers will not reflect the reality of the specific installation. Using adjusted probabilities will be particularly useful when barriers are found to be in worse condition than than the industry average, because this means the average frequencies will be artificially optimistic. In this case, an adjusted probability will be a conservative estimate.It should be noted that the energy-barrier perspective has received criticism from some researchers because it is based on linear causal chains, and does not account for complex interactions in larger socio-technical systems. While the approach does have its shortcomings, methods based on the barrier approach have proved to be useful and suitable for a number of applications. The approach is also continuously improved, as manifested by the introduction of bayesian belief networks in traditional risk analysis.
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Arnaud, Remi Nicolas. "Modeling analyses and data in human reliability." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/34841.

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The safety of nuclear power plants must be proved, certified and improved. Probabilistic safety assessments are used to estimate the core meltdown risk, by means of sequential analyses of accidents. In order to assess probabilities of the appearance of these sequences, it is necessary to specifically assess probabilities of operation failures accomplished by human operators in a degraded mode. For this purpose, EDF, the French producer of electricity, developed a method that models failures of human actions, by means of a systematic determination of scenarios corresponding to different failure modes.

This method, called MERMOS, has been used for several probabilistic safety assessments. In order to increase its reproducibility and to make it more robust, example missions and scenarios will be built. This set of example analyses will be used by experts assessing human reliability: they will develop studies and deduce results more easily.

The purpose of this study involves the creation of a methodology to model existing analyses and human reliability data used in MERMOS. This study consists of optimizing a second generation human reliability assessment method in order to overpass its current weaknesses in an operational context by means of the identification of a set of example analyses.
Master of Science

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Xie, Nan. "Computational analyses for modeling fluidized bed gasification processes." [Ames, Iowa : Iowa State University], 2007.

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Onen, Alper. "Analyses Of Flood Events Using Regional Hydrometeorological Modeling System." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615476/index.pdf.

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Extreme rainfall events and consequent floods are being observed more frequently in the Western Black Sea region in Turkey as climate changes. In this study, application of a flood early warning system is intended by using and calibrating a combined model system. A regional-scale hydro-meteorological model system, consisting of Weather Research and Forecasting (WRF) model, NOAH land surface model and fully distributed NOAH-Hydro hydrologic models, is used for simulations of 25 heavy-rainfall and major flooding events observed in the Western Black Sea region between years 2000 and 2011. The performance of WRF model system in simulating precipitation is tested with 3-dimensional variational (3DVAR) data assimilation scheme. WRF-derived precipitation with and without data assimilation and Multi Precipitation Estimates (MPE) are used in NOAH-Hydro model to simulate streamflow for flood events. Statistical precipitation analyses show that WRF model with 3DVAR improved precipitation up to 12% with respect to no-assimilation. MPE algorithm generally underestimates rainfall and it also showed lower performance than WRF model with and without data assimilation. Depending on reliability of precipitation inputs, NOAH-Hydro model produces reasonable flood hydrographs both in structure and volume. After model calibration is performed using assimilated precipitation inputs in Bartin Basin, NOAH-Hydro model reduced the average error in streamflow by 23.24% and 53.57% with calibration for testing events. With calibrated parameters, NOAH-Hydro model forced by WRF non-assimilated precipitation input also reduced the error in streamflow but with lower rates (16.67% and 40.72%). With a proper model calibration and reliable precipitation inputs, hydrologic modeling system is capable of simulating flood events.
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Nnanatu, Chibuzor. "Statistical modeling and analyses of partially observed infectious diseases." Thesis, Lancaster University, 2018. http://eprints.lancs.ac.uk/127741/.

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This thesis is concerned with the development of Bayesian inference approach for the analysis of infectious disease models. Stochastic SIS household-based epidemic models were considered with individuals allowed to be contracted locally at a given rate and there also exists a global force of infection. The study covers both when the population of interest is assumed to be constant and when the population is allowed to vary over time. It also covers when the global force of infection is constant and when it is spatially varying as a function of some unobserved Gaussian random fields realizations. In addition, we also considered diseases coinfection models allowing multiple strains transmission and recovery. For each model, Bayesian inference approach was developed and implemented via MCMC framework using extensive data augmentation schema. Throughout, we consider two most prevalent forms of endemic disease data- the individual-based data and the aggregate-based data. The models and Bayesian approach were tested with simulated data sets and successfully applied to real-life data sets of tick-borne diseases among Tanzania cattle.
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Bhowmick, Sauradeep. "Advanced Smoothed Finite Element Modeling for Fracture Mechanics Analyses." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623240613376967.

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Friscia, Jessica M. (Jessica Marie). "Vapor intrusion modeling : limitations, improvements, and value of information analyses." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90016.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 84-89).
Vapor intrusion is the migration of volatile organic compounds (VOCs) from a subsurface source into the indoor air of an overlying building. Vapor intrusion models, including the Johnson and Ettinger (J&E) model, can be used to predict the concentration of VOCs in the indoor air of a building based on a measured subsurface soil gas concentration or contaminant source concentrations, either in non-aqueous phase liquid (NAPL), groundwater, or soil. An analysis of two of the EPA-implemented J&E spreadsheet models, one that considers subsurface soil gas data and one that considers groundwater data, was conducted. The governing equations, assumptions, and limitations of these spreadsheet models were investigated. A value of information (Vol) worksheet was developed that can assist practitioners in deciding what additional data to collect as part of a remedial investigation. The Vol worksheet calculates how varying values of model input parameters affect the model-predicted indoor air carcinogenic risk. The worksheet then compares the user-defined target risk to the range of potential risk values for different combinations of varying parameters. The results of this analysis allow the user to determine which groups of parameters have the most impact on the model results. This information can assist the practitioner in deciding whether or not to collect additional data to reduce the uncertainty in the input parameters. The EPA J&E soil gas and groundwater spreadsheet models, as well as the Vol worksheet developed for each model, were applied to case study data for a trichloroethylene-impacted site in Rhode Island. The results of the J&E model and Vol worksheet analyses for this case study predicted incremental carcinogenic risk values for trichloroethylene (TCE) below the risk value calculated based on measured indoor air data. This comparison suggests the potential for other sources of TCE within the building. Groups of parameters were identified for each model that impacted the model-predicted carcinogenic risk. The development of a cost-benefit analysis, which would be used to quantify the value of obtaining additional data for these critical parameters, is recommended for future research.
by Jessica M. Friscia.
M. Eng.
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Hirte, Georg, and Stefan Tscharaktschiew. "Does labor supply modeling affect findings of transport policy analyses?" Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-175627.

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The transport and urban economics literature applies different labor supply approaches when studying economic or planning instruments. Some studies assume that working hours are endogenous while the number of workdays is given, whereas others model only decisions on workdays. Unfortunately, empirical evidence does hardly exist on account of missing data. Against this background, we provide an assessment of whether general effects of transport policies are robust against the modeling of leisure demand and labor supply. We introduce different labor supply approaches into a spatial general equilibrium model and discuss how they affect the welfare implication of congestion policies. We, then, perform simulations and find that in many cases the choice of labor supply modeling not only affects the magnitude of the policy impact but also its direction. While planning instruments are suggested to be quite robust to different labor supply approaches, the way of modeling labor supply may crucially affect the overall welfare implications of economic instruments such as congestion tolls. Based on these findings it becomes clear which labor supply approach is the most appropriate given specific conditions. Our study also emphasizes the need for better micro labor market data that also feature days of sickness, overtime work used to reduce workdays, the actual number of leave days, part-time work, days with telecommuting etc.
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Teomete, Egemen. "Mechanics of wire saw machining process experimental analyses and modeling /." [Ames, Iowa : Iowa State University], 2008.

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Kay, Thomas Sidney. "Numerical Modeling and Analyses of Steel Bridge Gusset Plate Connections." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/84.

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Gusset plate connections are commonly used in steel truss bridges to connect individual members together at a node. Many of these bridges are classified as non-load-path-redundant bridges, meaning a failure of a single truss member or connection could lead to collapse. Current gusset plated design philosophy is based upon experimental work from simplified, small-scale connections which are seldom representative of bridge connections. This makes development of a refined methodology for conducting high-fidelity strength capacity evaluations for existing bridge connections a highly desirable goal. The primary goal of this research effort is to develop an analytical model capable of evaluating gusset plate stresses and ultimate strength limit states. A connection-level gusset connection model was developed in parallel with an experimental testing program at Oregon State University. Data was collected on elastic stress distributions and ultimate buckling capacity. The analytical model compared different bolt modeling techniques on their effectiveness in predicting buckling loads and stress distributions. Analytical tensile capacity was compared to the current bridge gusset plate design equations for block shear. Results from the elastic stress analysis showed no significant differences between the bolt modeling techniques examined, and moderate correlation between analytical and experimental values. Results from the analytical model predicted experimental buckling capacity within 10% for most of the bolt modeling techniques examined. Tensile capacity was within 7% of the calculated tensile nominal capacity for all bolt modeling techniques examined. A preliminary parametric study was conducted to investigate the effects of member flexural stiffness and length on gusset plate buckling capacity, and showed an increase in member length or decrease in member flexural stiffness resulted in diminished gusset plate buckling capacity.
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Books on the topic "Modeling analyses"

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Brakman, Steven. International trade modeling: Decomposition analyses. [Groningen, Netherlands: Wolters-Noordhoff, 1991.

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Paul, Pukite, ed. Modeling for reliability analysis: Markov modeling for reliability, maintainability, safety, and supportability analyses of complex computer systems. New York: IEEE Press, 1998.

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Charisse, Faraut, ed. Mastering portraiture: Advanced analyses of the face sculpted in clay. Honeoye, NY: PCF Studios, Inc., 2009.

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Institute Of Electrical and Electronics Engineers. IEEE guide for synchronous generator modeling practices in stability analyses. New York, NY, USA: Institute of Electrical and Electronics Engineers, 1991.

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Modeling socioeconomic evolution and continuity in ancient Egypt: The value and limitations of zooarchaeological analyses. Oxford: Archaeopress, 2004.

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Hansen, Daniel L. Modeling, simulation, and analyses of attitude control for the Crew/Equipment Retriever (CER) proposed for Space Station. Monterey, Calif: Naval Postgraduate School, 1989.

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Modeling social heterogeneity, neighborhoods and local influences on urban real estate prices: Spatial dynamic analyses in the Belo Horizonte metropolitan area, Brazil. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap, 2009.

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Furtado, Bernardo Alves. Modeling social heterogeneity, neighborhoods and local influences on urban real estate prices: Spatial dynamic analyses in the Belo Horizonte metropolitan area, Brazil. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap, 2009.

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Close, Charles M. Modeling and analysis of dynamic systems. 3rd ed. New York: Wiley, 2002.

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1934-, Frederick Dean K., ed. Modeling and analysis of dynamic systems. 2nd ed. Boston,Mass: Houghton Mifflin, 1993.

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Book chapters on the topic "Modeling analyses"

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Liu, Dong, and Jingxian Zhang. "Visual Analyses of Music Download History: User Studies." In MultiMedia Modeling, 63–75. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27671-7_6.

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Gieschke, Ronald, and Daniel Serafin. "Population Analyses." In Development of Innovative Drugs via Modeling with MATLAB, 207–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39765-3_6.

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Demirel, H. Onan, and Vincent G. Duffy. "Impact of Force Feedback on Computer Aided Ergonomic Analyses." In Digital Human Modeling, 608–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02809-0_64.

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Kang, Okim, David O. Johnson, and Alyssa Kermad. "Prosodic Analyses of Natural Speech." In Second Language Prosody and Computer Modeling, 31–58. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003022695-5.

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Blelloch, Paul, and Eric Austin. "Modeling Viscoelastic Behavior in Transient Analyses." In Special Topics in Structural Dynamics & Experimental Techniques, Volume 5, 89–97. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47709-7_8.

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Loucks, Daniel P. "Multi-criteria Analyses." In International Series in Operations Research & Management Science, 207–22. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93986-1_16.

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Ansari, Tauseef A., and Y. B. Katpatal. "Spatial and Temporal Analyses of Impervious Surface Area on Hydrological Regime of Urban Watersheds." In Hydrologic Modeling, 99–109. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5801-1_8.

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Singh, Ramesh, Chaitanya Nidhi, and Satya Prakash Maurya. "From Quantitative to Qualitative Environmental Analyses." In Modeling and Simulation of Environmental Systems, 331–42. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003203445-21.

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Moyano, Tomás C., Rodrigo A. Gutiérrez, and José M. Alvarez. "Genomic Footprinting Analyses from DNase-seq Data to Construct Gene Regulatory Networks." In Modeling Transcriptional Regulation, 25–46. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1534-8_3.

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Marshall Hansen, E. "Moisture Analyses for Specific Cases of Southwest Summer Rainfall." In Precipitation Analysis for Hydrologic Modeling, 123–32. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/sp004p0123.

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Conference papers on the topic "Modeling analyses"

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Knight, Joseph B., H. Phil Stahl, and Thomas Brooks. "Dynamic analyses of the proposed Habitable Exoplanet Astrophysics Facility." In Optical Modeling and System Alignment, edited by Mark A. Kahan, Richard N. Youngworth, and José Sasián. SPIE, 2019. http://dx.doi.org/10.1117/12.2530385.

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Rauscher, Julia, Bernhard Bauer, and Melanie Langermeier. "Characteristics of Enterprise Architecture Analyses." In Sixth International Symposium on Business Modeling and Software Design. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0006222701040113.

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Baccarani, G., E. Baravelli, E. Gnani, A. Gnudi, and S. Reggiani. "Theoretical analyses and modeling for nanoelectronics." In ESSCIRC Conference 2015 - 41st European Solid-State Circuits Conference. IEEE, 2015. http://dx.doi.org/10.1109/esscirc.2015.7313815.

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Baccarani, G., E. Baravelli, E. Gnani, A. Gnudi, and S. Reggiani. "Theoretical analyses and modeling for nanoelectronics." In ESSDERC 2015 - 45th European Solid-State Device Research Conference. IEEE, 2015. http://dx.doi.org/10.1109/essderc.2015.7324700.

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Chaos, M. "Insights into Pyrolysis Modeling: Sensitivity Analyses." In Proceedings of the Seventh International Seminar Fire and Explosion Hazards. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-5936-0_06-01.

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Neufeld, Daniel, Joon Chung, and Kamran Behdinan. "Aircraft Conceptual Design Optimization with Uncertain Contributing Analyses." In AIAA Modeling and Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-6237.

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Beer, M., and S. Ferson. "Fuzzy Probability in Engineering Analyses." In First International Symposium on Uncertainty Modeling and Analysis and Management (ICVRAM 2011); and Fifth International Symposium on Uncertainty Modeling and Anaylsis (ISUMA). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41170(400)7.

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Chengjun, Wang. "The Analyses of Operating System Structure." In 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE, 2009. http://dx.doi.org/10.1109/kam.2009.265.

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Adluru, Nagesh, Chad M. Ennis, Richard J. Davidson, and Andrew L. Alexander. "Max margin general linear modeling for neuroimage analyses." In 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). IEEE, 2012. http://dx.doi.org/10.1109/mmbia.2012.6164735.

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Breithaupt, Stephen, Devin Smith, and Tarang Khangaonkar. "Hydrodynamic Analyses of Restoration Actions in the Flood Plain." In 11th International Conference on Estuarine and Coastal Modeling. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41121(388)1.

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Reports on the topic "Modeling analyses"

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Hernandez-Abrams, Darixa, Carra Carrillo, and Todd Swannack. Scenario analyses in ecological modeling and ecosystem management. Engineer Research and Development Center (U.S.), July 2022. http://dx.doi.org/10.21079/11681/44840.

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Ecosystem management and restoration practitioners are challenged with complex problems, diverse project goals, multiple management alternatives, and potential future scenarios that change the systems of interest. Scenario analysis aids in forecasting, evaluating, and communicating outcomes of potential management actions under different plausible conditions, such as land-use change or sea level rise. However, little guidance exists for practitioners on the utility and execution of scenario analysis. Therefore, this technical note highlights the usefulness of scenario analysis as a tool for addressing uncertainty in potential project outcomes. The mechanics of the scenario-analysis process are explained, and examples of different types of scenario analyses are described for context on the breadth of its use. Lastly, two hypothetical case studies of scenario analysis in ecological modeling are presented showing a semiquantitative approach for assessing anadromous fish and a quantitative approach examining freshwater mussel habitat. Overall, this technical note provides a brief review of the utility and application of scenario analyses in the context of ecological modeling and ecosystem management decision-making.
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Hansen, Clifford W., and Curtis E. Martin. Photovoltaic System Modeling. Uncertainty and Sensitivity Analyses. Office of Scientific and Technical Information (OSTI), August 2015. http://dx.doi.org/10.2172/1211576.

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CHAMBERS, ROBERT S., EARL DAVID REEDY JR., CHI S. LO, DOUGLAS B. ADOLF, and TOMMY R. GUESS. Micromechanical Failure Analyses for Finite Element Polymer Modeling. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/768081.

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Fossum, Arlo Frederick. Rock penetration : finite element sensitivity and probabilistic modeling analyses. Office of Scientific and Technical Information (OSTI), August 2004. http://dx.doi.org/10.2172/919149.

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Kay, Thomas. Numerical Modeling and Analyses of Steel Bridge Gusset Plate Connections. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.84.

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Gunzburger, Max. Mathematical and Numerical Analyses of Peridynamics for Multiscale Materials Modeling. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1170396.

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Sung, Y., Q. Nguyen, and J. Cizek. VIPRE modeling of VVER-1000 reactor core for DNB analyses. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/115083.

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Du, Qiang. Mathematical and Numerical Analyses of Peridynamics for Multiscale Materials Modeling. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1163672.

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Talamo, A., and Y. Gohar. Monte Carlo modeling and analyses of YALINA booster subcritical assembly, Part III : low enriched uranium conversion analyses. Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1027711.

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Jeff Tappen, M.A. Wasiolek, D.W. Wu, and J.F. Schmitt. Biosphere Modeling and Analyses in Support of Total System Performance Assessment. Office of Scientific and Technical Information (OSTI), December 2001. http://dx.doi.org/10.2172/805592.

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