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17,489 results

1. Robust Non-convex Model-Based Approach for Deep Learning-Based Image Processing

Author

Morotti, Elena, Evangelista, Davide, Loli Piccolomini, Elena, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sergeyev, Yaroslav D., editor, Kvasov, Dmitri E., editor, and Astorino, Annabella, editor

Published
2025
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2. Supercomputer Technologies for Ultrasound Nondestructive Imaging of Low-Contrast Defects in Solids

Author

Bazulin, Evgeny, Goncharsky, Alexander, Romanov, Sergey, Seryozhnikov, Sergey, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Voevodin, Vladimir, editor, Sobolev, Sergey, editor, Yakobovskiy, Mikhail, editor, and Shagaliev, Rashit, editor

Published
2023
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5. Acceptance Rates of Invertible Neural Networks on Electron Spectra from Near-Critical Laser-Plasmas: A Comparison

Author

Miethlinger, Thomas, Hoffmann, Nico, Kluge, Thomas, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wyrzykowski, Roman, editor, Dongarra, Jack, editor, Deelman, Ewa, editor, and Karczewski, Konrad, editor

Published
2023
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7. Kinetic Modeling of Isobutane Alkylation with Mixed C4 Olefins and Sulfuric Acid as a Catalyst Using the Asynchronous Global Optimization Algorithm

Author

Gubaydullin, Irek, Enikeeva, Leniza, Barkalov, Konstantin, Lebedev, Ilya, Silenko, Dmitry, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sokolinsky, Leonid, editor, and Zymbler, Mikhail, editor

Published
2022
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8. Fast ABC with Joint Generative Modelling and Subset Simulation

Author

Maalouf, Eliane, Ginsbourger, David, Linde, Niklas, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, La Malfa, Gabriele, editor, Jansen, Giorgio, editor, Pardalos, Panos M., editor, Giuffrida, Giovanni, editor, and Umeton, Renato, editor

Published
2022
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9. An Inverse Problem Involving Integration of Optical Spectroscopic Methods: Study of Influence of Feature Selection on Resilience of Neural Network Solution to Noise in Data

Author

Isaev, Igor, Sarmanova, Olga, Burikov, Sergey, Dolenko, Tatiana, Laptinskiy, Kirill, Dolenko, Sergey, Kacprzyk, Janusz, Series Editor, Kryzhanovsky, Boris, editor, Dunin-Barkowski, Witali, editor, Redko, Vladimir, editor, Tiumentsev, Yury, editor, and Klimov, Valentin V., editor

Published
2022
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20. Bone Reconstruction and Depth Control During Laser Ablation

Author

Nahum, Uri, Zam, Azhar, Cattin, Philippe C., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Vrtovec, Tomaž, editor, Yao, Jianhua, editor, Zheng, Guoyan, editor, and Pozo, Jose M., editor

Published
2019
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22. Past Surface Temperatures Reconstructed by Inversion of the Measured Borehole Temperature-Depth Profiles in Rock

Author

Tyuflin, Sergey A., Nagornov, Oleg V., Bukharova, Tatiana I., Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Dimov, Ivan, editor, Faragó, István, editor, and Vulkov, Lubin, editor

Published
2019
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23. Multilevel Non-parametric Groupwise Registration in Cardiac MRI: Application to Explanted Porcine Hearts

Author

Mojica, Mia, Pop, Mihaela, Sermesant, Maxime, Ebrahimi, Mehran, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Jodoin, Pierre-Marc, editor, Lalande, Alain, editor, Zhuang, Xiahai, editor, Yang, Guang, editor, Young, Alistair, editor, and Bernard, Olivier, editor

Published
2018
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25. Numerical Implementation of the Ambrosio-Tortorelli Functional Using Discrete Calculus and Application to Image Restoration and Inpainting

Author

Foare, Marion, Lachaud, Jacques-Olivier, Talbot, Hugues, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kerautret, Bertrand, editor, Colom, Miguel, editor, and Monasse, Pascal, editor

Published
2017
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26. Inverse Problem for Paleo-Temperature Reconstruction Based on the Tree-Ring Width and Glacier-Borehole Data

Author

Nagornov, Oleg V., Tyuflin, Sergey A., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Dimov, Ivan, editor, Faragó, István, editor, and Vulkov, Lubin, editor

Published
2017
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27. Parameter Identification Inverse Problems of Partial Differential Equations Based on the Improved Gene Expression Programming

Author

Chen, Yan, Li, Kangshun, Chen, Zhangxin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Xie, Jiang, editor, Chen, Zhangxin, editor, Douglas, Craig C., editor, Zhang, Wu, editor, and Chen, Yan, editor

Published
2016
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28. A Memetic Framework for Solving Difficult Inverse Problems

Author

Smołka, Maciej, Schaefer, Robert, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Esparcia-Alcázar, Anna I., editor, and Mora, Antonio M., editor

Published
2014
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33. Deformable Image Registration and Intensity Correction of Cardiac Perfusion MRI

Author

Ebrahimi, Mehran, Kulaseharan, Sancgeetha, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Camara, Oscar, editor, Mansi, Tommaso, editor, Pop, Mihaela, editor, Rhode, Kawal, editor, Sermesant, Maxime, editor, and Young, Alistair, editor

Published
2015
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35. Solution of Identification Problems in Computational Mechanics – Parallel Processing Aspects

Author

Blaheta, Radim, Kohut, Roman, Jakl, Ondřej, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Jónasson, Kristján, editor

Published
2012
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37. Selected Papers from the 10th International Conference on Inverse Problems in Engineering (ICIPE 22).

Author

de Monte, Filippo

Subjects
*INVERSE problems, *CONFERENCES & conventions, *ENGINEERING, *ENGINEERS, *RUSSIAN invasion of Ukraine, 2022-
Abstract

This article is a summary of the 10th International Conference on Inverse Problems in Engineering (ICIPE 22), which took place in May 2022 in Francavilla al Mare, Italy. The conference brought together applied mathematicians and engineers from various disciplines to collaborate and discuss the use of inverse analysis tools in fields such as manufacturing, medical imaging, and space applications. The event also honored Professor James V. Beck, who made significant contributions to parameter estimation and inverse heat transfer problems. The conference featured keynote addresses, lectures, and a tribute to Prof. Beck. The article expresses gratitude to the organizers, sponsors, reviewers, and the editor-in-chief of the Heat Transfer Engineering Journal. The 11th ICIPE conference will be held in Brazil in 2024. [Extracted from the article]

Published
2024
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40. Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization

Author

Nikolova, Mila, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Bruckstein, Alfred M., editor, ter Haar Romeny, Bart M., editor, Bronstein, Alexander M., editor, and Bronstein, Michael M., editor

Published
2012
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41. Parallel Algorithms for Solution of Air Pollution Inverse Problems

Author

Starchenko, Alexander, Panasenko, Elena, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Hsu, Ching-Hsien, editor, and Malyshkin, Victor, editor

Published
2010
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42. Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography

Author

Kodali, Shyam P., Deb, Kalyanmoy, Bandaru, Sunith, Munshi, Prabhat, Kishore, N. N., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kolehmainen, Mikko, editor, Toivanen, Pekka, editor, and Beliczynski, Bartlomiej, editor

Published
2009
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43. Inverse thermal problems in computational modelling of the paper vacuum drying process.

Author

Nowak, A.J., Buliński, Z.P., Kasza, K., and Matysiak, Ł.

Subjects
*INVERSE problems, *PAPER industry, *VACUUM, *DRYING, *RADIAL basis functions, *MATHEMATICAL models, *FLUID dynamics software
Abstract

In this article, a mathematical model of the vacuum paper drying process was developed utilizing Fluent, a commercial Computational Fluid Dynamic software. Paper is treated as a porous medium, which is in thermodynamic equilibrium with humid air. Water distribution within paper is resolved by solving a so-called lumped diffusion equation. A developed model requires numerous experimental data and unknown/uncertain parameters. The latter ones are subjects of inverse thermal analysis. This analysis is based on the Levenberg-Marquardt method. [ABSTRACT FROM AUTHOR]

Published
2011
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44. Improved Inversion Method for Multi-Regional Oil-Immersed Paper Resistivity in Transformer.

Author

Xie, Yiming, Ruan, Jiangjun, Huang, Daochun, Shi, Yu, Jin, Shuo, Deng, Yongqing, and Hu, Yuanchao

Subjects
*POWER transformer insulation, *NEWTON-Raphson method, *BACK propagation, *POWER transformers, *INVERSE problems
Abstract

Oil-paper insulation ageing of transformer has characteristics of spatial locality due to uneven temperature distribution. The transformer is sealed, it is difficult to obtain the local ageing state of oil-paper insulation by sampling directly. Currently, there are no effective detection method to detect the insulation state of local regions. The oil-immersed paper resistivity inversion method can nondestructively assess the local state of oil-paper insulation. However, the current inversion methods still have shortcomings and need to be improved. In this paper, combining the back propagation neural network (BPNN) and Newton downhill method (NDM), an improved inversion method is proposed to optimize the current inversion method, so as to reduce the effect of initial value on it and make calculated results converge better. Finally, a 3D 10 kV transformer model is established to verify the effectiveness of the proposed method. The resistivity calculated by the improved method show that the method can provide initial resistivity values for technicians and improve the convergence and accuracy of current inversion method, which is more suitable for extending to the engineering practice. [ABSTRACT FROM AUTHOR]

Published
2020
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45. Comment on the Paper "Direct and Inverse Problems for a Third Order Self-Adjoint Differential Operator with Periodic Boundary Conditions and Nonlocal Potential" by Yixuan Liu and Jun Yan (Results Math., 2024, 79:21).

Author

Bondarenko, Natalia P.

Subjects
SELFADJOINT operators, INVERSE problems, DIFFERENTIAL operators, MATHEMATICS
Abstract

This comment shows that the main results of [Liu and Yan in Results Math 79:21, (2024)] immediately follow from the abstract results of [Dobosevich and Hryniv in Integr Equ Oper Theory 93:18, (2021)]. [ABSTRACT FROM AUTHOR]

Published
2024
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46. DETERMINING PERMITTIVITY OF DIELECTRIC CYLINDER FROM THE SCATTERED FIELD DATA (short paper).

Author

Yutao Yue, Abramov, Arnold, Mingming Wang, and Zhou Sha

Subjects
*PERMITTIVITY, *DIELECTRICS, *INVERSE problems
Abstract

The inverse scattering problem is to recover input parameters (material parameters, size of the object, initial data of the field, etc.) from the scattering field data. In the present paper we describe the procedure to recover permittivity of the dielectric cylinder. A limited number of measurements of scattered field intensity along the line on the shadow side of the cylinder are used. Numerical results were calculated for several values of dielectric permittivity. The results demonstrate the possibility of reconstruction of permittivity for the dielectric cylinder. [ABSTRACT FROM AUTHOR]

Published
2020

47. Image Denoising: The Deep Learning Revolution and Beyond-A Survey Paper.

Author

Elad, Michael, Kawar, Bahjat, and Vaksman, Gregory

Subjects
DEEP learning, IMAGE denoising, ADDITIVE white Gaussian noise, IMAGE processing, INVERSE problems
Abstract

Image denoising-removal of additive white Gaussian noise from an image-is one of the oldest and most studied problems in image processing. Extensive work over several decades has led to thousands of papers on this subject, and to many well-performing algorithms for this task. Indeed, 10 years ago, these achievements led some researchers to suspect that "Denoising is Dead, in the sense that all that can be achieved in this domain has already been obtained. However, this turned out to be far from the truth, with the penetration of deep learning (DL) into the realm of image processing. The era of DL brought a revolution to image denoising, both by taking the lead in today's ability for noise suppression in images, and by broadening the scope of denoising problems being treated. Our paper starts by describing this evolution, highlighting in particular the tension and synergy that exist between classical approaches and modern artificial intelligence (AI) alternatives in design of image denoisers. The recent transitions in the field of image denoising go far beyond the ability to design better denoisers. In the second part of this paper we focus on recently discovered abilities and prospects of image denoisers. We expose the possibility of using image denoisers for service of other problems, such as regularizing general inverse problems and serving as the prime engine in diffusion-based image synthesis. We also unveil the (strange?) idea that denoising and other inverse problems might not have a unique solution, as common algorithms would have us believe. Instead, we describe constructive ways to produce randomized and diverse high perceptual quality results for inverse problems, all fueled by the progress that DL brought to image denoising. This is a survey paper, and its prime goal is to provide a broad view of the history of the field of image denoising and closely related topics in image processing. Our aim is to give a better context to recent discoveries, and to the influence of the AI revolution in our domain. [ABSTRACT FROM AUTHOR]

Published
2023
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49. A two-phase parameter estimation method for radiative transfer problems in paper industry applications.

Author

Edström, Per

Subjects
*RADIATIVE transfer, *INVERSE problems, *DIFFERENTIAL equations, *PAPER industry, *GAUSS-Newton method
Abstract

A two-phase method for estimation of the scattering and absorption coefficients and the asymmetry factor (σs, σa and g) in the radiative transfer problem is presented. The first phase parameterizes σs and σa through g via a simplified model and performs-at a relatively low cost-a scalar optimization over g. It is shown that this gives such a good starting point that the second phase can be accurately performed by a simple Gauss-Newton method. It is also shown that as a part of the first phase can be used on its own when only σs and σa are wanted, and it is noted that this gives higher accuracy than the commonly used Kubelka-Munk method when using standardized paper industry reflectance factor measurements. The parameter estimation problem is shown to be non-trivial and ill-conditioned, and its character is analysed. It is discussed that as standard optimization methods are so sensitive to the choice of starting point for this problem that it is hard to find a starting point that gives convergence at all. The new two-phase method is illustrated by application to relevant paper industry problems, and efficiency and sensitivity measures are given. [ABSTRACT FROM AUTHOR]

Published
2008
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