Academic literature on the topic 'Models'
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Journal articles on the topic "Models"
Wheeler, Gregory. "Models, Models, and Models." Metaphilosophy 44, no. 3 (April 2013): 293–300. http://dx.doi.org/10.1111/meta.12036.
Full textMohammed, Mohammed Ameen, Zheng Han, and Yange Li. "Exploring the Detection Accuracy of Concrete Cracks Using Various CNN Models." Advances in Materials Science and Engineering 2021 (September 9, 2021): 1–11. http://dx.doi.org/10.1155/2021/9923704.
Full textLei, Y., and S. Y Zhang. "Comparison and selection of growth models using the Schnute model." Journal of Forest Science 52, No. 4 (January 9, 2012): 188–96. http://dx.doi.org/10.17221/4501-jfs.
Full textPerrin, C., V. Andréassian, and C. Michel. "Simple benchmark models as a basis for model efficiency criteria." River Systems 17, no. 1-2 (July 28, 2006): 221–44. http://dx.doi.org/10.1127/lr/17/2006/221.
Full textCorballis, Michael C. "Postscript: Models, models...." Psychological Review 108, no. 4 (2001): 809–10. http://dx.doi.org/10.1037/h0092889.
Full textCwojdziński, Leszek, Jerzy Lewitowicz, and Andrzej Żyluk. "Models of Air Missions / Modele Misji Lotniczych." Journal of KONBiN 22, no. 1 (June 1, 2012): 35–44. http://dx.doi.org/10.2478/jok-2013-0020.
Full textMüller, Marcelo Dias, Thiago Taglialegna Salles, Domingos Sávio Campos Paciullo, Alexandre Magno Brighenti, and Carlos Renato Tavares de Castro. "EQUAÇÕES DE ALTURA, VOLUME E AFILAMENTO PARA EUCALIPTO E ACÁCIA ESTABELECIDOS EM SISTEMA SILVIPASTORIL." FLORESTA 44, no. 3 (March 21, 2014): 473. http://dx.doi.org/10.5380/rf.v44i3.33149.
Full textten Cate, Jacob M. "Models and Role Models." Caries Research 49, Suppl. 1 (2015): 3–10. http://dx.doi.org/10.1159/000380870.
Full textBaden-Fuller, Charles, and Mary S. Morgan. "Business Models as Models." Long Range Planning 43, no. 2-3 (April 2010): 156–71. http://dx.doi.org/10.1016/j.lrp.2010.02.005.
Full textSalis, Fiora. "Models and exploratory models." Studies in History and Philosophy of Science Part A 63 (June 2017): 58–61. http://dx.doi.org/10.1016/j.shpsa.2017.04.004.
Full textDissertations / Theses on the topic "Models"
Andriushchenko, Roman. "Computer-Aided Synthesis of Probabilistic Models." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417269.
Full textRozestraten, Artur Simões. "Estudo sobre a história dos modelos arquitetônicos na antigüidade: origens e características das primeiras maquetes de arquiteto." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/16/16131/tde-09062009-145825/.
Full textThis study intends to identify the first architects models among the several architectural models already known and presented in literature. Architects models are third-dimensional objects directly related to knowledge, planning and communication of architectural matters. Recession to Antiquity seems necessary in order to study the origins of the relation between three-dimensional model and architects work in the western world. Chronologically this study begins at 6.000 b.C. and ends at the Roman world (c. 200 a.D.). In geographical terms this study focuses objects produced by Neolithic Southeastern European cultures, Near Eastern cultures, Egyptian culture, Aegean cultures (Cretan and Cycladic), Cypriot, Greek, Villanovian and Roman cultures. Material evidences for architects models are rare and inaccurate all over Antiquity. Nevertheless some few objects are very close to architects work deserving deeper future studies: the miniature brick ensemble from Tepe Gawra (c. 3.500 a.C.); the Egyptian Dahshours model (1.990-1.730 a.C.); the minoan model of Arkhanes (1.700-1.630 a.C.) and the Roman models of Ostia (I a.C.), Niha, Baalbek and Villa Adriana (II d.C.).
Kang, Changsung. "Model testing for causal models." [Ames, Iowa : Iowa State University], 2008.
Find full textLIMA, FILHO Luiz Medeiros de Araújo. "Modelos simétricos transformados não-lineares com diferentes distribuições dos erros: aplicações em ciências florestais." Universidade Federal Rural de Pernambuco, 2009. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5175.
Full textMade available in DSpace on 2016-08-03T15:09:46Z (GMT). No. of bitstreams: 1 Luiz Medeiros de Araujo Lima Filho.pdf: 529199 bytes, checksum: 06cae9ad9a02975b786cf55a000dbc5b (MD5) Previous issue date: 2009-02-13
Historically, the wood of the eucalyptus is used for the most varied applications, such as; firewood, charcoal, cellulose, railway sleepers, posts for electrification, bark to tan leather, essential oils, civil construction, etc. The Gypsum Pole of Araripe in Pernambuco is a great firewood consumer for the gypsum production. Due to great need to find economical and environmental alternatives for the area, the sustainable production of eucalyptus that is a fast growth tree with great versatility has an important role. In the planning of the sustainable forest management there is a variable of extreme importance: the growth. To model the growth is fundamental in the prognosis of the productivity, site quality and dynamics of populations. Usually, the growth curves are fitted through nonlinear models developed empirically to relate, for instance, height and age. The Chapman-Richards model is a nonlinear model frequently used to model forest growth. In studies of this type, in general, it is assumed that the errors follow approximately the normal distribution. However, to model the growth assuming that the errors have a normal distribution is quite sensitive to atypical values that can happen, and generate bad estimates of the parameters. To correct that problem a new class of transformed symmetrical models was developed considering for the errors symmetrical continuous distributions with heavier tails than the normal distribution and allowing a possible nonlinear structure for the mean. With the expectation of obtaining better estimates of eucalyptus growth, it was applied to the Chapman-Richards model the following distributions of the errors: normal, t of Student, Cauchy, exponential potency, logistics I and logistics II. The t distribution of Student with 2 degrees of freedom was the most efficient to estimate height and circumference growth of eucalyptus in the Gypsum Pole of Pernambuco.
Historicamente, a madeira do Eucalyptus é usada para os mais variados fins, tais como; lenha, carvão vegetal, celulose, dormentes ferroviários, postes para eletrificação, casca para curtir couro, óleos essenciais, construção civil, etc. O Pólo Gesseiro do Araripe em Pernambuco é um grande consumidor de madeira para produção de gesso. Devido à grande necessidade de se buscar uma alternativa econômica e ambiental para a região é de interesse obter uma produção sustentável para o Eucalyptus, uma vez que esta é uma árvore de rápido crescimento e grande versatilidade. No planejamento do manejo florestal sustentado uma variável é de extrema importância: o crescimento. Sua modelagem é fundamental na prognose da produtividade, qualidade do local e dinâmica de populações. Geralmente, as curvas de crescimento são estudadas por meio de modelos não-lineares desenvolvidos empiricamente para relacionar, por exemplo, altura e idade. Um modelo não-linear bastante utilizado na prática para modelar curvas de crescimento é o modelo de Chapman-Richards. Em estudos deste tipo, em geral, assume-se que os erros seguem distribuição normal. Contudo, a modelagem sob a suposição de erros com distribuição normal é bastante sensível a valores atípicos que por ventura possam ocorrer, podendo distorcer as estimativas dos parâmetros. Para corrigir esse problema Cordeiro et al. (2009) desenvolveram uma nova classe de modelos simétricos transformados considerando para os erros distribuições contínuas simétricas com caudas mais pesadas do que a distribuição normal e permitindo uma possível estrutura não-linear para a média. Dessa forma, com a expectativa de obter melhores estimativas de crescimento de Eucalyptus, aplicaram-se ao modelo de Chapman-Richards as seguintes distribuições dos erros: normal, t de Student, Cauchy, exponencial potência, logística I e logística II que apresentou a distribuição t de Student com 2 graus de liberdade com melhores estimativas de crescimento em altura e circunferência de Eucalyptus no Pólo Gesseiro de Pernambuco.
Kotsalis, Georgios. "Model reduction for Hidden Markov models." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38255.
Full textIncludes bibliographical references (leaves 57-60).
The contribution of this thesis is the development of tractable computational methods for reducing the complexity of two classes of dynamical systems, finite alphabet Hidden Markov Models and Jump Linear Systems with finite parameter space. The reduction algorithms employ convex optimization and numerical linear algebra tools and do not pose any structural requirements on the systems at hand. In the Jump Linear Systems case, a distance metric based on randomization of the parametric input is introduced. The main point of the reduction algorithm lies in the formulation of two dissipation inequalities, which in conjunction with a suitably defined storage function enable the derivation of low complexity models, whose fidelity is controlled by a guaranteed upper bound on the stochastic L2 gain of the approximation error. The developed reduction procedure can be interpreted as an extension of the balanced truncation method to the broader class of Jump Linear Systems. In the Hidden Markov Model case, Hidden Markov Models are identified with appropriate Jump Linear Systems that satisfy certain constraints on the coefficients of the linear transformation. This correspondence enables the development of a two step reduction procedure.
(cont.) In the first step, the image of the high dimensional Hidden Markov Model in the space of Jump Linear Systems is simplified by means of the aforementioned balanced truncation method. Subsequently, in the second step, the constraints that reflect the Hidden Markov Model structure are imposed by solving a low dimensional non convex optimization problem. Numerical simulation results provide evidence that the proposed algorithm computes accurate reduced order Hidden Markov Models, while achieving a compression of the state space by orders of magnitude.
by Georgios Kotsalis.
Ph.D.
Pommellet, Adrien. "On model-checking pushdown systems models." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCC207/document.
Full textIn this thesis, we propose different model-checking techniques for pushdown system models. Pushdown systems (PDSs) are indeed known to be a natural model for sequential programs, as they feature an unbounded stack that can simulate the assembly stack of an actual program. Our first contribution consists in model-checking the logic HyperLTL that adds existential and universal quantifiers on path variables to LTL against pushdown systems (PDSs). The model-checking problem of HyperLTL has been shown to be decidable for finite state systems. We prove that this result does not hold for pushdown systems nor for the subclass of visibly pushdown systems. Therefore, we introduce approximation algorithms for the model-checking problem, and show how these can be used to check security policies. In the second part of this thesis, as pushdown systems can fail to accurately represent the way an assembly stack actually operates, we introduce pushdown systems with an upper stack (UPDSs), a model where symbols popped from the stack are not destroyed but instead remain just above its top, and may be overwritten by later push rules. We prove that the sets of successors post* and predecessors pre* of a regular set of configurations of such a system are not always regular, but that post* is context-sensitive, hence, we can decide whether a single configuration is forward reachable or not. We then present methods to overapproximate post* and under-approximate pre*. Finally, we show how these approximations can be used to detect stack overflows and stack pointer manipulations with malicious intent. Finally, in order to analyse multi-threaded programs, we introduce in this thesis a model called synchronized dynamic pushdown networks (SDPNs) that can be seen as a network of pushdown processes executing synchronized transitions, spawning new pushdown processes, and performing internal pushdown actions. The reachability problem for this model is obviously undecidable. Therefore, we compute an abstraction of the execution paths between two regular sets of configurations. We then apply this abstraction framework to a iterative abstraction refinement scheme
Peak, Russell Speights. "Product model-based analytical models (PBAMs) : a new representation of engineering analysis models." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/18379.
Full textMateluna, Diego Ignacio Gallardo. "Extensões em modelos de sobrevivência com fração de cura e efeitos aleatórios." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-24062014-202301/.
Full textIn this work some extensions in survival models with cure fraction are presented, assuming the context in which the observations are grouped into clusters. Two random effects are incorporated for each group: one to explain the effect on survival time of susceptible observations and another to explain the probability of cure. A classical approach through the REML estimators is presented as well as a bayesian approach through Dirichlet Process. Besides comparing both approaches, some simulation studies which evaluates the performance of the proposed estimators are discussed. Finally, the results are illustrated with a real database.
Fernandes, Walney Reis. "Modelos de emparelhamento integráveis." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-21102010-121332/.
Full textThe goal of this work was to study the Algebraic Bethe ansatz (ABA), which is a technique used to obtain the eigenstates of Hamiltonian of many models of Statistical Mechanics and Quantum Field Theory. We apply this procedure to diagonalize three types of spin models: the Heisenberg model, the Heisenberg-Sklyanin model and the Heisenberg-Cherednik model. On diagonalization of the rst model, we could not nd all the eigenstates of Hamiltonian through ABA, and during the procedure for obtaining the analytical expressions, we face an unprecedented set of identities in literature. The Sklyanin´s boundary matrix couples the fi rst and last sites, generalizing the previous model, and provides a limit for other integrable models. In this case also did not get all eigenstates using the technique of ABA. Unlike what happened with the rst models, the Heisenberg-Cherednik model, with alternating couplings the intensity along the spin chain, presented a complete set of eigenstates when diagonalized by ABA.
Ribeiro, Darielder Jesus. "Modelos de contato com probabilidades aperiódicas." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-20052014-190949/.
Full textThe analysis of contact models in the presence of quenched disorder indicates the onset of deviations with respect to the critical behavior of the underlying uniform system. In the present work, we consider the effects of aperiodicity, which are also known to produce fluctuation of geometric nature. We use aperiodic distributions of probabilities, given by deterministic substitution rules, in order to analyze the critical behavior. We performed Monte Carlo simulations for three different rules, characterized by an exponent w, which gauges the intensity of the geometric fluc tuations. For models A and B, with w = -1and w = 0, we have not detected any changes with respect to the universality class of directed percolation. For model C, with w = 0.6309, the geometric fluctuations change the critical universality class.
Books on the topic "Models"
McMasters, Alan W. Wholesale provisioning models: Model evaluation. Monterey, California: Naval Postgraduate School, 1986.
Find full text1935-, Gerkan Meinhard von, and Von Gerkan, Marg und Partner., eds. Idea and model =: Idee und Modell : 30 years of architectural models. Berlin: Ernst & Sohn, 1994.
Find full textHansen, Peter Reinhard. Model confidence sets for forecasting models. [Atlanta, Ga.]: Federal Reserve Bank of Atlanta, 2005.
Find full textMoser, Barry Kurt. Linear models: A mean model approach. San Diego: Academic Press, 1996.
Find full textBorowiak, Dale S. Model discrimination for nonlinear regression models. New York: M. Dekker, 1989.
Find full textDervin, Daniel. Enactments: American modes and psychohistorical models. Madison: Fairleigh Dickinson University Press, 1996.
Find full textKirby, Anthony J. From enzyme models to model enzymes. Cambridge: Royal Society of Chemistry, 2009.
Find full text1949-, Thomson Ruth, ed. Models. New York: Crabtree Pub., 1998.
Find full textBulloch, Ivan. Models. London: Two-Can, 1994.
Find full textBliss, Helen. Models. New York: Crabtree Pub., 1998.
Find full textBook chapters on the topic "Models"
Pardo, Scott. "Models, Models Everywhere…Model Selection." In Statistical Analysis of Empirical Data, 121–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43328-4_11.
Full textScheaffer, Richard L., Ann Watkins, Mrudulla Gnanadesikan, and Jeffrey A. Witmer. "Models, Models, Models…" In Activity-Based Statistics, 195–201. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-3843-8_42.
Full textMellor, Stephen J. "Models. Models. Models. So What?" In Model Driven Engineering Languages and Systems, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04425-0_1.
Full textThomas, Kenneth P. "Models, Models and More Models." In Investment Incentives and the Global Competition for Capital, 18–38. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230302396_2.
Full textBriffaut, Jean-Pierre. "Business Models: Control Models, Flow Models, Organization Models, Function Models." In E-Enabled Operations Management, 33–56. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119145219.ch3.
Full textDjurfeldt, Göran, and Ola Hall. "Epidemiological Models." In Models for Non-Modelers, 24–37. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003328261-2.
Full textBézivin, Jean, Fabian Büttner, Martin Gogolla, Frederic Jouault, Ivan Kurtev, and Arne Lindow. "Model Transformations? Transformation Models!" In Model Driven Engineering Languages and Systems, 440–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880240_31.
Full textScravaglieri, Pierangelo Marco. "The model of models." In Liquid Architecture, 25–32. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003349808-3.
Full textFischer, Joachim, Birger Møller-Pedersen, Andreas Prinz, and Bernhard Thalheim. "Models Versus Model Descriptions." In Modelling to Program, 67–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72696-6_3.
Full textHalfar, Peter. "Models and Model Selection." In Stresses in glaciers, 71–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-66024-9_9.
Full textConference papers on the topic "Models"
"MODELS 2015 organization." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338225.
Full textHartmann, Thomas, Assaad Moawad, Francois Fouquet, Gregory Nain, Jacques Klein, and Yves Le Traon. "Stream my models: Reactive peer-to-peer distributed models@run.time." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338238.
Full textArulmohan, Sathurshan, Marie-Jean Meurs, and Sébastien Mosser. "Extracting Domain Models from Textual Requirements in the Era of Large Language Models." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00096.
Full text"Steering Committee MODELS-C 2023." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00006.
Full text"Conference Organization MODELS-C 2023." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00005.
Full textZoor, Maysam, Ludovic Apvrille, and Renaud Pacalet. "SysML models." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3419225.
Full textMontaghami, Vajih, and Derek Rayside. "Pattern-based debugging of declarative models." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338263.
Full textKusel, Angelika, Jurgen Etzlstorfer, Elisabeth Kapsammer, Werner Retschitzegger, Wieland Schwinger, and Johannes Schonbock. "Consistent co-evolution of models and transformations." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338242.
Full textPrzigoda, Nils, Christoph Hilken, Robert Wille, Jan Peleska, and Rolf Drechsler. "Checking concurrent behavior in UML/OCL models." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338248.
Full textJahanbin, Sorour, Dimitris Kolovos, and Simos Gerasimou. "Towards Memory-Efficient Validation of Large XMI Models." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00053.
Full textReports on the topic "Models"
Tyler, Joan E. Models, managing models, quality models:. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4738.
Full textFeng, Thomas H., and Edward A. Lee. Scalable Models Using Model Transformation. Fort Belvoir, VA: Defense Technical Information Center, July 2008. http://dx.doi.org/10.21236/ada518855.
Full textDixon, Peter, Michael Jerie, and Maureen Rimmer. Modern Trade Theory for CGE Modelling: the Armington, Krugman and Melitz Models. GTAP Technical Paper, February 2015. http://dx.doi.org/10.21642/gtap.tp36.
Full textGeoffrion, Andrew M. Reusing Structured Models via Model Integration. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada204652.
Full textZhang, Yongping, Wen Cheng, and Xudong Jia. Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas. Mineta Transportation Institute, February 2021. http://dx.doi.org/10.31979/mti.2021.1920.
Full textYang, Bwolen, Reid Simmons, Randal E. Bryant, and David R. O'Hallaron. Optimizing Symbolic Model Checking for Constraint-Rich Models. Fort Belvoir, VA: Defense Technical Information Center, March 1999. http://dx.doi.org/10.21236/ada363778.
Full textMueller, Shane, Andrew Boettcher, and Michael Young. Delineating Cultural Models: Extending the Cultural Mixture Model. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada572740.
Full textNichols, William, and M. Oostrom. Model Package Report: Central Plateau Vadose Zone Models. Office of Scientific and Technical Information (OSTI), November 2020. http://dx.doi.org/10.2172/1714362.
Full textWest, Kenneth. Inventory Models. Cambridge, MA: National Bureau of Economic Research, September 1993. http://dx.doi.org/10.3386/t0143.
Full textRector, D. R., and B. C. Bunker. Sedimentation models. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/108208.
Full text