Relevant bibliographies by topics / Inversion methods

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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 'Inversion methods'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Inversion methods"

1

Thompson, M. J. "Inversion Methods." Symposium - International Astronomical Union 185 (1998): 125–34. http://dx.doi.org/10.1017/s0074180900238448.

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I want to start by addressing the question, ‘What is inversion?’ My answer would be that inversion is the process of going from data to making inferences about the object under study. In the case of helioseismology, the data at the present time are principally the mode frequencies, and the object under study is the solar interior.
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Tang, J., and Q. Zhuang. "Technical Note: Methods for interval constrained atmospheric inversion of methane." Atmospheric Chemistry and Physics Discussions 10, no. 8 (2010): 19981–20004. http://dx.doi.org/10.5194/acpd-10-19981-2010.

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Abstract. Three interval constrained methods, including the interval constrained Kalman smoother, the interval constrained maximum likelihood ensemble smoother and the interval constrained ensemble Kalman smoother are developed to conduct inversions of atmospheric trace gas methane (CH4). The negative values of fluxes in an unconstrained inversion are avoided in the constrained inversion. In a multi-year inversion experiment using pseudo observations derived from a forward transport simulation with known fluxes, the interval constrained fixed-lag Kalman smoother presents the best results, foll
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Argyros, Ioannis K., Santhosh George, Stepan Shakhno, Samundra Regmi, Mykhailo Havdiak, and Michael I. Argyros. "Asymptotically Newton-Type Methods without Inverses for Solving Equations." Mathematics 12, no. 7 (2024): 1069. http://dx.doi.org/10.3390/math12071069.

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The implementation of Newton’s method for solving nonlinear equations in abstract domains requires the inversion of a linear operator at each step. Such an inversion may be computationally very expensive or impossible to find. That is why alternative iterative methods are developed in this article that require no inversion or only one inversion of a linear operator at each step. The inverse of the operator is replaced by a frozen sum of linear operators depending on the Fréchet derivative of an operator. The numerical examples illustrate that for all practical purposes, the new methods are as
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Korda, David, Michal Švanda, and Junwei Zhao. "Comparison of time–distance inversion methods applied to SDO/HMI Dopplergrams." Astronomy & Astrophysics 629 (September 2019): A55. http://dx.doi.org/10.1051/0004-6361/201936268.

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Context. The Helioseismic and Magnetic Imager (HMI) onboard the Solar Dynamics Observatory (SDO) satellite has been observing the Sun since 2010. The uninterrupted series of Dopplergrams are ideal for studying the dynamics of the upper solar convection zone. Within the Joint Science Operations Center (JSOC) the time–distance inversions for flows and sound-speed perturbations were introduced. The automatic pipeline has produced flow and sound-speed maps every 8 h. We verify the results of JSOC inversions by comparing the data products to equivalent results from inverse modelling obtained by an
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Ming, Yanbo, Guoqing Ma, Taihan Wang, Bingzhen Ma, Qingfa Meng, and Zongrui Li. "Power-Type Structural Self-Constrained Inversion Methods of Gravity and Magnetic Data." Remote Sensing 16, no. 4 (2024): 681. http://dx.doi.org/10.3390/rs16040681.

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The inversion of gravity and magnetic data can obtain the density and magnetic structure of underground space, which provide important information for resource exploration and geological structure division. The most commonly used inversion method is smooth inversion in which the objective function is built with L2-norm, which has good stability, but it produces non-focused results that make subsequent interpretation difficult. The power-type structural self-constrained inversion (PTSS) method with L2-norm is proposed to improve the resolution of smooth inversion. A self-constraint term based o
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Karimpour, Mohammadkarim, Evert Cornelis Slob, and Laura Valentina Socco. "Physically Constrained 2D Joint Inversion of Surface and Body Wave Tomography." Journal of Environmental and Engineering Geophysics 27, no. 2 (2022): 57–71. http://dx.doi.org/10.32389/jeeg21-031.

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Joint inversion of different geophysical methods is a powerful tool to overcome the limitations of individual inversions. Body wave tomography is used to obtain P-wave velocity models by inversion of P-wave travel times. Surface wave tomography is used to obtain S-wave velocity models through inversion of the dispersion curves data. Both methods have inherent limitations. We focus on the joint body and surface waves tomography inversion to reduce the limitations of each individual inversion. In our joint inversion scheme, the Poisson ratio was used as the link between P-wave and S-wave velocit
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Ursenbach, Charles P., and Robert R. Stewart. "Two-term AVO inversion: Equivalences and new methods." GEOPHYSICS 73, no. 6 (2008): C31—C38. http://dx.doi.org/10.1190/1.2978388.

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Most amplitude-variation-with-offset (AVO) studies use two-parameter inversion methods that are approximations of a more general three-parameter method based on the Aki-Richards approximation. Two-parameter methods are popular because the three-parameter inversion is often plagued by numerical instability. Reducing the dimensionality of the parameter space stabilizes the inversion. A variety of constraints can accomplish this, and these lead to the multiplicity of current two-parameter methods. It would be useful to understand relationships between various two-parameter methods. To this end, w
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Rosa, Daiane R., Juliana M. C. Santos, Rafael M. Souza, et al. "Comparing different approaches of time-lapse seismic inversion." Journal of Geophysics and Engineering 17, no. 6 (2020): 929–39. http://dx.doi.org/10.1093/jge/gxaa053.

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Abstract Time-lapse (4D) seismic inversion aims to predict changes in elastic rock properties, such as acoustic impedance, from measured seismic amplitude variations due to hydrocarbon production. Possible approaches for 4D seismic inversion include two classes of method: sequential independent 3D inversions and joint inversion of 4D seismic differences. We compare the standard deterministic methods, such as coloured and model-based inversions, and the probabilistic inversion techniques based on a Bayesian approach. The goal is to compare the sequential independent 3D seismic inversions and th
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Hicks, Graham J., and R. Gerhard Pratt. "Reflection waveform inversion using local descent methods: Estimating attenuation and velocity over a gas‐sand deposit." GEOPHYSICS 66, no. 2 (2001): 598–612. http://dx.doi.org/10.1190/1.1444951.

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Prestack seismic reflection data contain amplitudes, traveltimes, and moveout information; waveform inversion of such data has the potential to estimate attenuation levels, reflector depths and geometry, and background velocities. However, when inverting reflection data, strong nonlinearities can cause reflectors to be incorrectly imaged and can prevent background velocities from being updated. To successfully recover background velocities, previous authors have resorted to nonlinear, global search inversion techniques. We propose a two‐step inversion procedure using local descent methods in w
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Brinza, Melen, Andra Grigore, Mihaela Dragomir, et al. "Large Intron Inversions in Romanian Patients with Hemophilia A—First Report." Medicina 59, no. 10 (2023): 1821. http://dx.doi.org/10.3390/medicina59101821.

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Background and Objectives: Despite the vast heterogeneity in the genetic defects causing hemophilia A (HA), large intron inversions represent a major cause of disease, accounting for almost half of the cases of severe HA worldwide. We investigated the intron 22 and intron 1 inversion status in a cohort of Romanian unrelated patients with severe HA. Moreover, we evaluated the role of these inversions as relative risk factors in inhibitor occurrence. Materials and Methods: Inverse shifting—a polymerase chain reaction method was used to detect the presence of intron 22 and intron 1 inversions in
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Dissertations / Theses on the topic "Inversion methods"

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DENICH, ELEONORA. "Numerical methods for electromagnetic inversion." Doctoral thesis, Università degli Studi di Trieste, 2023. https://hdl.handle.net/11368/3042164.

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The aim of electromagnetic (EM) sounding methods in geophysics is to obtain information about the subsurface of the earth by recorded measurements taken at the surface. In particular, the goal is to determine variations in the electrical conductivity of the earth with depth by employing an inversion procedure. In this work we focus on one technique, that consists of placing a magnetic dipole above the surface, composed of a transmitter coil and different couples of adjacent receiver coils. The receiver couples are placed at different distances (offsets) from the transmitter coil. In this setti
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Kamm, Jochen. "Inversion and Joint Inversion of Electromagnetic and Potential Field Data." Doctoral thesis, Uppsala universitet, Geofysik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-215673.

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In this thesis, four inversion problems of different scale and difficulty are solved. Two of them are electromagnetic inverse problems. Two more are joint inversion problems of potential field data and other types of data. First, a linear approximation, which is a generalization of the low-induction-number approximation standard in slingram dual-loop interpretation is developed and used for rapid two and three dimensional inversion. The approximation takes induction within a background half-space into account and can thus be applied in conductive scenarios, where otherwise a rigorous electroma
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Saunders, Jonathan Howard. "Electrical inversion and characterisation methods in geophysics." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413721.

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MACIEL, Jonathas da Silva. "Structural constraints for image-based inversion methods." Universidade Federal do Pará, 2016. http://repositorio.ufpa.br/jspui/handle/2011/9021.

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Submitted by Cássio da Cruz Nogueira (cassionogueirakk@gmail.com) on 2017-07-26T14:09:55Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Tese_StructuralconstraintsImage.pdf: 21057747 bytes, checksum: c218ce93af99d33375ec25eeec4aa33e (MD5)<br>Approved for entry into archive by Irvana Coutinho (irvana@ufpa.br) on 2017-08-23T13:21:47Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Tese_StructuralconstraintsImage.pdf: 21057747 bytes, checksum: c218ce93af99d33375ec25eeec4aa33e (MD5)<br>Made available in
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Walker, Matthew James. "Methods for Bayesian inversion of seismic data." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10504.

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The purpose of Bayesian seismic inversion is to combine information derived from seismic data and prior geological knowledge to determine a posterior probability distribution over parameters describing the elastic and geological properties of the subsurface. Typically the subsurface is modelled by a cellular grid model containing thousands or millions of cells within which these parameters are to be determined. Thus such inversions are computationally expensive due to the size of the parameter space (being proportional to the number of grid cells) over which the posterior is to be determined.
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Vu, Tuan-Anh. "One-shot inversion methods and domain decomposition." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAE009.

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Notre objectif principal est d’analyser la convergence d’une méthode d’optimisation basée sur le gradient, pour résoudre des problèmes inverses d’identification de paramètres, dans laquelle les problèmes directs et adjoints correspondants sont résolus par un solveur itératif. Le couplage des itérations pour les trois inconnues (le paramètre du problème inverse, la solution du problème direct et la solution du problème adjoint) donne ce que l’on appelle les méthodes d’inversion de type one-shot. De nombreux tests numériques ont montré que l’utilisation de très peu d’itérations internes pour les
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Li, Song. "Numerical methods for stable inversion of nonlinear systems." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/15028.

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Wilson, Adam. "Theory and methods of frequency-dependent AVO Inversion." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4740.

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Amplitude-versus-offset, AVO, approximations allow the estimation of various properties from pre-stack seismic gathers. Recently it has been suggested that fluid mobility is a controlling factor in pore pressure equalisation and can result in anomalous velocity dispersion in the seismic bandwidth. However, current approximations all assume an elastic subsurface and are unable to account for velocity dispersion. I have applied existing methodologies to a real dataset to qualitatively detect and interpret spectral amplitude anomalies. Three areas had AVO and spectral signature consistent with fr
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Sawyer, Nicolas B. E. "Novel optical surface metrology methods." Thesis, University of Nottingham, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287239.

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Thurin, Julien. "Uncertainties estimation in Full Waveform Inversion using Ensemble methods." Thesis, Université Grenoble Alpes, 2020. https://tel.archives-ouvertes.fr/tel-02570602.

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L'inversion de forme d'onde complète (FWI) est une méthode d'inversion non-linéaire qui a pour but l'obtention de modèles précis des propriétés physiques du sous-sol terrestre. Ces modèles, véritables cartes de propriétés physiques, sont indispensables pour l'exploration et l'étude des structures internes de la Terre.Généralement formulée sous la forme d'un schéma d'optimisation par la méthode des moindres carrés, la FWI compare des enregistrements sismiques observés en surface, avec des données synthétiques calculées à partir d'un modèle numérique de sous-sol. Alors qu'une infinité de modèles
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Books on the topic "Inversion methods"

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Hansen, Per Christian, Bo Holm Jacobsen, and Klaus Mosegaard, eds. Methods and Applications of Inversion. Springer-Verlag, 2000. http://dx.doi.org/10.1007/bfb0010278.

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Cohen, A. M. Numerical methods for Laplace transform inversion. Springer, 2011.

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Vogel, Andreas, Charles O. Ofoegbu, Rudolf Gorenflo, and Bjorn Ursin, eds. Geophysical Data Inversion Methods and Applications. Vieweg+Teubner Verlag, 1990. http://dx.doi.org/10.1007/978-3-322-89416-8.

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Maurya, S. P., N. P. Singh, and K. H. Singh. Seismic Inversion Methods: A Practical Approach. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45662-7.

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1948-, Stoffa Paul L., ed. Global optimization methods in geophysical inversion. Elsevier, 1995.

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Diachok, O., A. Caiti, P. Gerstoft, and H. Schmidt, eds. Full Field Inversion Methods in Ocean and Seismo-Acoustics. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8476-0.

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Diachok, O. Full Field Inversion Methods in Ocean and Seismo-Acoustics. Springer Netherlands, 1995.

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Zhdanov, Michael S. Advanced Methods of Joint Inversion and Fusion of Multiphysics Data. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6722-3.

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O, Diachok, ed. Full field inversion methods in ocean and seismo-acoustics: Edited by O. Diachok ... [et al.]. Kluwer Academic Publishers, 1995.

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1954-, Jacobsen Bo Holm, Moosegard Klaus 1955-, and Sibani Paolo 1954-, eds. Inverse methods: Interdisciplinary elements of methodology, computation, and applications. Springer, 1996.

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Book chapters on the topic "Inversion methods"

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Thompson, M. J. "Inversion Methods." In New Eyes to See Inside the Sun and Stars. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4982-2_28.

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Bertero, Mario, and Patrizia Boccacci. "Inversion methods revisited." In Introduction to Inverse Problems in Imaging. CRC Press, 2020. http://dx.doi.org/10.1201/9780367806941-12.

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Bertero, Mario, Patrizia Boccacci, and Christine De MoI. "Inversion methods revisited." In Introduction to Inverse Problems in Imaging, 2nd ed. CRC Press, 2021. http://dx.doi.org/10.1201/9781003032755-8.

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Berdichevsky, Mark, and Vladimir I. Dmitriev. "Inversion Strategy." In Models and Methods of Magnetotellurics. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77814-1_12.

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Maurya, S. P., N. P. Singh, and K. H. Singh. "Geostatistical Inversion." In Seismic Inversion Methods: A Practical Approach. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45662-7_7.

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Maurya, S. P., N. P. Singh, and K. H. Singh. "Pre-stack Inversion." In Seismic Inversion Methods: A Practical Approach. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45662-7_4.

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Fichtner, Andreas. "Finite-Difference Methods." In Full Seismic Waveform Modelling and Inversion. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15807-0_3.

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Fichtner, Andreas. "Spectral-Element Methods." In Full Seismic Waveform Modelling and Inversion. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15807-0_4.

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Shen, Qiuyang, Jiefu Chen, Xuqing Wu, Yueqin Huang, and Zhu Han. "Bayesian Inversion and Sampling Methods." In SpringerBriefs in Petroleum Geoscience & Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57097-2_2.

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Pike, E. R., G. Hester, B. McNally, and G. D. de Villiers. "Mathematical Methods for Data Inversion." In Light Scattering from Microstructures. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-46614-2_3.

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Conference papers on the topic "Inversion methods"

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Rosatti, Pietro, Paolo Rocca, Marco Salucci, and A. Massa. "Innovative AI Inversion Methods for Ground Penetrating Radar Applications." In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI). IEEE, 2024. http://dx.doi.org/10.1109/ap-s/inc-usnc-ursi52054.2024.10686957.

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Liang, Xuan, Guoqing Zhou, Qiaobo Cao, Jiasheng Xu, Sikai Su, and Zhou Tian. "Comparison and analysis of glint removal methods for bathymetric inversion." In 4th International Conference on Signal Image Processing and Communication, edited by Xianye Ben and Lei Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3042440.

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Sun, Bo, Fan Wu, Cong Zhang, Wenhao Fan, Zhaodong Gao, and Yuanan Liu. "Physics-Informed Contrast Source Inversion Learning Methods for Microwave Imaging." In 2024 Asia-Pacific Microwave Conference (APMC). IEEE, 2024. https://doi.org/10.1109/apmc60911.2024.10867830.

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Lin, Yu, Qizhi Zhang, Quanwei Cai, et al. "An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.126.

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Jackiewicz, Jason, Joyce Ann Guzik, and Paul A. Bradley. "Seismic Inversion Methods." In STELLAR PULSATION: CHALLENGES FOR THEORY AND OBSERVATION: Proceedings of the International Conference. AIP, 2009. http://dx.doi.org/10.1063/1.3246565.

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Thore, P., H. Klemm, and L. Azevedo. "The Impact of Seismic Inversion Methods on Facies Prediction." In First EAGE Conference on Seismic Inversion. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202037021.

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Urozayev, D., B. Boddupalli, M. Jordan, and P. Eliasson. "Sparsity-Induced Full Waveform Inversion: Variational Bayesian and Hamiltonian Monte Carlo Methods." In Third EAGE Conference on Seismic Inversion. European Association of Geoscientists & Engineers, 2024. http://dx.doi.org/10.3997/2214-4609.202438046.

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Royle, Gillian. "Viscoelastic orthorhombic full wavefield inversion: Development of multiparameter inversion methods." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3628112.

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Jensås, I., J. Eidsvik, and U. Theune. "Methods for Blocky Seismic AVA Inversion." In 70th EAGE Conference and Exhibition - Workshops and Fieldtrips. European Association of Geoscientists & Engineers, 2008. http://dx.doi.org/10.3997/2214-4609.20148055.

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Yiding, Wang, Wang Yunhong, and Zhao shi. "Errors Analysis of Spectrum Inversion Methods." In 2007 IEEE International Conference on Signal Processing and Communications. IEEE, 2007. http://dx.doi.org/10.1109/icspc.2007.4728304.

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Reports on the topic "Inversion methods"

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McGehee, Duncan E., Mark C. Benfield, D. Van Holliday, and Charles F. Greenlaw. Advanced Multifrequency Inversion Methods for Classifying Acoustic Scatterers. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada633271.

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Benfield, Mark C. Advanced Multi-frequency Inversion Methods for Classifying Acoustic Scatterers. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada612285.

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McGehee, Duncan E., Mark C. Benfield, Charles F. Greenlaw, and D. V. Holliday. Advanced Multi-Frequency Inversion Methods for Classifying Acoustic Scatterers. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada621142.

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Turgut, Altan. Rapid Geoacoustics Inversion Methods Used in LWAD98-2 Sea Test,. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada361913.

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Michalopoulou, Zoi-Heleni. Efficient Inversion in Underwater Acoustics with Iterative and Sequential Bayesian Methods. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada574976.

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Michalopoulou, Zoi-Heleni. Efficient Inversion in Underwater Acoustics with Analytic, Iterative, and Sequential Bayesian Methods. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada617529.

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Reimus, Paul W. Binary Tracers and Multiple Geophysical Data Set Inversion Methods to Improve EGS Reservoir Characterization and Imaging. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1130518.

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Dickson, Sarah, Brittany Bruder, and Katherine Brodie. Bathymetric inversion from unmanned aircraft system (UAS) video on inland waters, Port Huron, Michigan. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49212.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) presents a proof of concept for the use of the cBathy algorithm to estimate bathymetry in an inland water environment. The document summarizes the methods used in collecting and analyzing stationary UAS (unmanned aircraft system) video taken at the Fort Gratiot Lighthouse Park in Port Huron, Michigan, a shoreline overseen by the US Army Corps of Engineers (USACE), Detroit District (LRE). The results presented in this report show that the cBathy algorithm has the potential to measure bathymetry in areas of inland water with sufficie
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Goodwin, J. A., W. Jiang, A. J. Meixner, et al. Estimating cover thickness in the Southern Thomson Orogen: results from the pre-drilling application of refraction seismic, audio-magnetotelluric and targeted magnetic inversion modelling methods on proposed borehole sites. Geoscience Australia, 2017. http://dx.doi.org/10.11636/record.2017.021.

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Tolstoy, A. Low Frequency Geoacoustic Inversion Method. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada571774.

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