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Littérature scientifique sur le sujet « Inverse Model »

Auteur : Grafiati
Publié le 4 juin 2021
Mis à jour le 25 mai 2024

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Articles de revues sur le sujet "Inverse Model"

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Keream, Settar S., Ahmed N. Abdalla, Ruzlaini Ghoni, Mohd Razali Daud, and Youssif Al Mashhadany. "Robust Dynamic Inverse Controller For Spacecraft Model." International Journal of Scientific Research 3, no. 5 (2012): 113–17. http://dx.doi.org/10.15373/22778179/may2014/37.

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Sahoo, Abhilipsa, and Kaushika Patel. "Machine Learning-based Inverse Design Model of a Transistor." Indian Journal Of Science And Technology 17, no. 7 (2024): 617–24. http://dx.doi.org/10.17485/ijst/v17i7.3076.

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Objectives: To develop an inverse design model for transistors, utilizing machine learning algorithms to predict key design parameters specifically, the length and width based on specified gain and bandwidth requirements. And to conduct a comprehensive comparative analysis with existing literature, evaluating the efficacy and novelty of the proposed model in the context of semiconductor engineering challenges and methodologies. Methods: The comprehensive dataset, comprising 30,000 values generated through LTspice simulations, forms the basis for training the machine learning model. Utilizing a
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Cárcamo Hernández, A. E., and S. F. King. "Littlest inverse seesaw model." Nuclear Physics B 953 (April 2020): 114950. http://dx.doi.org/10.1016/j.nuclphysb.2020.114950.

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Kaipio, Jari, and Erkki Somersalo. "Statistical inverse problems: Discretization, model reduction and inverse crimes." Journal of Computational and Applied Mathematics 198, no. 2 (2007): 493–504. http://dx.doi.org/10.1016/j.cam.2005.09.027.

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Mehl, Steffen. "Forward Model Nonlinearity versus Inverse Model Nonlinearity." Ground Water 45, no. 6 (2007): 791–94. http://dx.doi.org/10.1111/j.1745-6584.2007.00372.x.

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Hu, Xiaoyin, Jianshu Li, Xiaoya Li, and Jinchuan Cui. "A Revised Inverse Data Envelopment Analysis Model Based on Radial Models." Mathematics 8, no. 5 (2020): 803. http://dx.doi.org/10.3390/math8050803.

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In recent years, there has been an increasing interest in applying inverse data envelopment analysis (DEA) to a wide range of disciplines, and most applications have adopted radial-based inverse DEA models. However, results given by existing radial based inverse DEA models can be unreliable as they neglect slacks while evaluating decision-making units’ (DMUs) overall efficiency level, whereas classic radial DEA models measure the efficiency level through not only radial efficiency index but also slacks. This paper points out these disadvantages with a counterexample, where current inverse DEA
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Schaich, W. L. "Model calculations of inverse photoemission." Physical Review B 45, no. 7 (1992): 3744–48. http://dx.doi.org/10.1103/physrevb.45.3744.

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Stipsitz, Monika, Gerhard Kahl, and Emanuela Bianchi. "Generalized inverse patchy colloid model." Journal of Chemical Physics 143, no. 11 (2015): 114905. http://dx.doi.org/10.1063/1.4930600.

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O'Neill, Terence J. "The Inverse Proportional Hazards Model." Statistics & Probability Letters 12, no. 2 (1991): 125–29. http://dx.doi.org/10.1016/0167-7152(91)90055-v.

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Kim, Young-Jin. "Comparison between Inverse Model and Chaos Time Series Inverse Model for Long-Term Prediction." Sustainability 9, no. 6 (2017): 982. http://dx.doi.org/10.3390/su9060982.

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Thèses sur le sujet "Inverse Model"

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Tang, Hui. "Forward and Inverse Modeling of Tsunami Sediment Transport." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/77439.

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Tsunami is one of the most dangerous natural hazards in the coastal zone worldwide. Large tsunamis are relatively infrequent. Deposits are the only concrete evidence in the geological record with which we can determine both tsunami frequency and magnitude. Numerical modeling of sediment transport during a tsunami is important interdisciplinary research to estimate the frequency and magnitude of past events and quantitative prediction of future events. The goal of this dissertation is to develop robust, accurate, and computationally efficient models for sediment transport during a tsunami. Ther
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Sakellariou, Jason. "Inverse inference in the asymmetric Ising model." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00869738.

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Recent experimental techniques in biology made possible the acquisition of overwhelming amounts of data concerning complex biological networks, such as neural networks, gene regulation networks and protein-protein interaction networks. These techniques are able to record states of individual components of such networks (neurons, genes, proteins) for a large number of configurations. However, the most biologically relevantinformation lies in their connectivity and in the way their components interact, information that these techniques aren't able to record directly. The aim of this thesis is to
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Boada, Fernando E. "Inverse ultrasonic scattering with model function constraints." Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1054586314.

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Chisari, Corrado. "INVERSE TECHNIQUES FOR MODEL IDENTIFICATION OF MASONRY STRUCTURES." Doctoral thesis, Università degli studi di Trieste, 2015. http://hdl.handle.net/10077/11123.

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2013/2014<br>Many old masonry structures still in use need to be assessed considering the safety requirements proposed by current building codes. To this aim, the use of detailed numerical models, allowing the description of complex mechanical phenomena such as anisotropy, softening and crack propagation, could become tremendously beneficial. Although a large number of material models with different degrees of complexity have been recently proposed in the literature, the calibration of the model material parameters, which is critical for an accurate response prediction, has received remarkably
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Miller, James Christopher. "Analytical inverse model for post-event attribution of plutonium." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3208.

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Jungius, Hugo. "Model inverse electro-catalyst investigations of metal support interactions." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/413849/.

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Gold supported titania nano-particle surfaces have been synthesised in order to understand supported electrochemical mechanisms through an inverse catalyst. The catalyst process investigated was the electro-oxidation of CO which is known to be promoted on Au nano-particles on a titania support. Synthesis proceeded via physical vapour deposition (PVD) of titanium onto a gold surface (both polycrystalline and 111 crystal), followed by alloying and oxidation to form discrete particles of titania on the surface, with variations in density of particles achieved by control of the initial titanium co
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Gerry, Michael J. "Two-dimensional inverse scattering based on the GTD model /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487946103567201.

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Aldrian, Oswald. "Inverse rendering of faces with a 3D morphable model." Thesis, University of York, 2012. http://etheses.whiterose.ac.uk/3215/.

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In this thesis, we present a complete framework to inverse render faces with a 3D Morphable Model. By decomposing the image formation process into a geometric and photometric part, we are able to state the problem as a multilinear system which can be solved accurately and efficiently. As we treat each contribution as independent, the objective function is convex in the parameters and a globally optimal solution can be found. We start by recovering 3D shape using a novel algorithm which incorporates generalisation errors of the model obtained from empirical measurements. The algorithm is extend
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Qi, Te. "Inverse modeling to predict effective leakage area." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45942.

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The purpose of this research is to develop a new approach to estimate the effective leakage area using the inverse modeling process as an alternative to the blower door test. An actual office building, which is the head quarter of Energy Efficiency Hub, was used as an example case in this study. The main principle of the inverse modeling process is comparing the real monitor boiler gas consumption with the result calculated from the EnergyPlus model with a dynamic infiltration rate input to find the best estimation of the parameter of effective leakage area (ELA). This thesis considers only t
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Afdideh, Fardin. "Block-sparse models in multi-modality : application to the inverse model in EEG/MEG." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT074/document.

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De nombreux phénomènes naturels sont trop complexes pour être pleinement reconnus par un seul instrument de mesure ou par une seule modalité. Par conséquent, le domaine de recherche de la multi-modalité a émergé pour mieux identifier les caractéristiques riches du phénomène naturel de la multi-propriété naturelle, en analysant conjointement les données collectées à partir d’uniques modalités, qui sont en quelque sorte complémentaires. Dans notre étude, le phénomène d’intérêt multi-propriétés est l’activité du cerveau humain et nous nous intéressons à mieux la localiser au moyen de ses propriét
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Livres sur le sujet "Inverse Model"

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Buljak, Vladimir. Inverse Analyses with Model Reduction. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-22703-5.

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Jorge, Ariosto Bretanha, Carla Tatiana Mota Anflor, Guilherme Ferreira Gomes, and Sérgio Henrique da Silva Carneiro, eds. Model-based and Signal-Based Inverse Methods. Biblioteca Central da Universidade de Brasilia, 2022. http://dx.doi.org/10.4322/978-65-86503-71-5.

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Inverse problem theory: Methods for data fitting and model parameter estimation. Elsevier, 1987.

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Moreau, Madylam R., and SpringerLink (Online service), eds. Turbulence Nature and the Inverse Problem. Springer Netherlands, 2009.

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Inverse analyses with model reduction: Proper orthogonal decomposition in structural mechanics. Springer, 2012.

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Zhang, Huai-Min. Application of an inverse model in the community modeling effort results. Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering, 1995.

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Rientjes, Thomas Henricus Maria. Inverse modelling of the rainfall-runoff relation: A multi objective model calibration approach. Delft University Press, 2004.

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Walter, Donald A. Use of inverse-modeling methods to improve ground-water-model calibration and evaluate model-prediction uncertainty, Camp Edwards, Cape Cod, Massachusetts. U.S. Geological Survey, 2008.

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Walter, Donald A. Use of inverse-modeling methods to improve ground-water-model calibration and evaluate model-prediction uncertainty, Camp Edwards, Cape Cod, Massachusetts. U.S. Geological Survey, 2008.

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Walter, Donald A. Use of inverse-modeling methods to improve ground-water-model calibration and evaluate model-prediction uncertainty, Camp Edwards, Cape Cod, Massachusetts. U.S. Geological Survey, 2008.

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Chapitres de livres sur le sujet "Inverse Model"

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Pilger, Rex H. "An Inverse Model." In Geokinematics. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-07439-8_5.

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Gouveia, Wences. "A study of model covariances in amplitude seismic inversion." In Inverse Methods. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0011769.

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Sun, Ne-Zheng, and Alexander Sun. "The Classical Inverse Problem." In Model Calibration and Parameter Estimation. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2323-6_2.

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Yan, Wang-Ji, Lambros Katafygiotis, and Costas Papadimitriou. "Fast Bayesian Approach for Stochastic Model Updating using Modal Information from Multiple Setups." In Bayesian Inverse Problems. CRC Press, 2021. http://dx.doi.org/10.1201/b22018-9.

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Chalmond, Bernard. "Model-Building." In Modeling and Inverse Problems in Imaging Analysis. Springer New York, 2003. http://dx.doi.org/10.1007/978-0-387-21662-1_9.

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Owens, David H. "Control Using Inverse Model Algorithms." In Iterative Learning Control. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6772-3_6.

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Olivieri, Alejandro C. "The Inverse Least-Squares Model." In Introduction to Multivariate Calibration. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97097-4_3.

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Kurahashi, Setsuya. "Model Prediction and Inverse Simulation." In Innovative Approaches in Agent-Based Modelling and Business Intelligence. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1849-8_11.

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Sabbagh, Harold A., R. Kim Murphy, Elias H. Sabbagh, John C. Aldrin, and Jeremy S. Knopp. "Examples of Basic Inverse Problems." In Computational Electromagnetics and Model-Based Inversion. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-8429-6_11.

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Schlösser, Anna. "Normal Inverse Gaussian Factor Copula Model." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15609-0_5.

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Actes de conférences sur le sujet "Inverse Model"

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Batur, Celal, Arvind Srinivasan, and Chien-Chung Chan. "Inverse Fuzzy Model Controllers." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4792966.

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Baba, Masashi, Misa Yamamoto, Masayuki Mukunoki, and Naoki Asada. "Camera model for inverse perspective." In ACM SIGGRAPH ASIA 2010 Posters. ACM Press, 2010. http://dx.doi.org/10.1145/1900354.1900412.

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Patino, Alejandro, Alejandro Pena, Valeria Warstki, and Francisco Velez. "Radial inverse model to identify markets for assets exports: Inverse neural radial basis model." In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2017. http://dx.doi.org/10.23919/cisti.2017.7975931.

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Liu, Weiliang, Haining Zhang, Changliang Liu, Yongjun Lin, Liangyu Ma, and Wenying Chen. "Energy storage inverter control based on neural network inverse model." In 2015 IEEE International Conference on Information and Automation (ICIA). IEEE, 2015. http://dx.doi.org/10.1109/icinfa.2015.7279808.

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Nickerson, Brendon M., Jaco Laas, and Anriëtte Bekker. "Verification of Inverse Propeller Moment Estimation Using a Scale Laboratory Rig: Further Results and Discussion." In ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-104878.

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Abstract There has been increasing interest in the loads caused during interaction between ship propellers and ice. Recent research into propeller ice interaction has produced inverse models that can be used to estimate the propeller moment induced by ice impacts. These models rely on the measurement of the output response of the propulsion shaft, which is inverted to obtain the input propeller load. The particular model considered here makes use of modal superposition to invert the measured shaft response. Though the model has been validated numerically and used with full-scale response data,
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Pellizzari, Casey J., and Charles A. Bouman. "Inverse synthetic aperture LADAR image construction: an inverse model-based approach." In SPIE Optical Engineering + Applications, edited by Jean J. Dolne, Thomas J. Karr, and David C. Dayton. SPIE, 2016. http://dx.doi.org/10.1117/12.2236133.

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Tourre, Vincent, Jean-Yves Martin, and Gérard Hégron. "An inverse daylighting model for CAAD." In the 24th Spring Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1921264.1921283.

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"Transient model and boundary inverse problem." In Engineering Mechanics 2018. Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences, 2018. http://dx.doi.org/10.21495/91-8-297.

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Gérard, Anthony, Alain Berry, Patrice Masson, Jacky Tartarin, and Y. Gervais. "An Inverse Aeroacoustic Model for Fans." In 10th AIAA/CEAS Aeroacoustics Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-3036.

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Wang, Ping, Baohua Cheng, Wenchao Xing, and Hui Ding. "The Direct Inverse-Model Control Based on Neural Networks for Inverts." In 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmtma.2010.289.

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Rapports d'organisations sur le sujet "Inverse Model"

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Petra, Noei, and Georg Stadler. Model Variational Inverse Problems Governed by Partial Differential Equations. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada555315.

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Osipov, G. S. Optimization model of an inverse multi-stage problem with fuzzy matches. КультИнформПресс, 2018. http://dx.doi.org/10.18411/spbcsa-2018-9.

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Hammond Espinosa, Frank William, and Catalina Sbert Juan. A Nonlocal Variational Model for Retinex Image Decomposition. Fundación Avanza, 2023. http://dx.doi.org/10.60096/fundacionavanza/2122022.

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In this work, we propose a variational model to solve the ill-posed inverse problem of estimating luminance and reflectance from a given observation. A theoretical analysis of the resulting energy functional is provided.
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Vermeul, Vince R., Marcel P. Bergeron, C. R. Cole, et al. Transient Inverse Calibration of the Site-Wide Groundwater Flow Model (ACM-2): FY03 Progress Report. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/15010371.

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He, Jiachuan, Scott Hansen, and Velimir Valentinov Vesselinov. Analysis of Hydrologic Time Series Reconstruction UncertaintyDue to Inverse Model InadequacyUsing the Laguerre Expansion Method. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1338783.

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Jacobson, E. A., and M. D. Freshly. An initial inverse calibration of the ground-water flow model for the Hanford unconfined aquifer. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6913533.

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Lutz, Carsten, Ulrike Sattler, and Lidia Tendera. The Complexity of Finite Model Reasoning in Description Logics. Technische Universität Dresden, 2002. http://dx.doi.org/10.25368/2022.123.

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We analyze the complexity of finite model reasoning in the description logic ALCQI, i.e. ALC augmented with qualifying number restrictions, inverse roles, and general TBoxes. It turns out that all relevant reasoning tasks such as concept satisfiability and ABox consistency are EXPTIME-complete, regardless of whether the numbers in number restrictions are coded unarily or binarily. Thus, finite model reasoning with ALCQI is not harder than standard reasoning with ALCQI.
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Hatch, Andrew G., Ralph C. Smith, Tathagata De, and Murti V. Salapaka. Construction and Experimental Implementation of a Model-Based Inverse Filter to Attenuate Hysteresis in Ferroelectric Transducers. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada440154.

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Cole, Charles R., Marcel P. Bergeron, Signe K. Wurstner, Paul D. Thorne, Samuel Orr, and Mathew I. Mckinley. Transient Inverse Calibration of Hanford Site-Wide Groundwater Model to Hanford Operational Impacts - 1943 to 1996. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/786781.

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Hatch, Andrew, Ralph G. Smith, and Tathagata De. Experimental Implementation of a Model-Based Inverse Filter to Attenuate Hysteresis in an Atomic Force Microscope. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada452004.

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