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Статті в журналах з теми "Differential equations, Nonlinear Data processing"
Enciso-Salas, Luis, Gustavo Pérez-Zuñiga, and Javier Sotomayor-Moriano. "Fault Diagnosis via Neural Ordinary Differential Equations." Applied Sciences 11, no. 9 (April 22, 2021): 3776. http://dx.doi.org/10.3390/app11093776.
Повний текст джерелаLazarev, Alexander. "THE TECHNOLOGY OF WINTER CONCRETING OF MONOLITHIC FRAME STRUCTURES WITH SUBSTANTIATION OF HEAT TREATMENT MODES BY SOLUTIONS OF THE DIFFERENTIAL EQUATION OF THERMAL CONDUCTIVITY OBTAINED BY THE METHOD OF GROUP ANALYSIS." International Journal for Computational Civil and Structural Engineering 17, no. 4 (December 26, 2021): 115–22. http://dx.doi.org/10.22337/2587-9618-2021-17-4-115-122.
Повний текст джерелаBorgese, G., S. Vena, P. Pantano, C. Pace, and E. Bilotta. "Simulation, Modeling, and Analysis of Soliton Waves Interaction and Propagation in CNN Transmission Lines for Innovative Data Communication and Processing." Discrete Dynamics in Nature and Society 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/139238.
Повний текст джерелаZaręba, Mateusz, and Tomasz Danek. "Nonlinear anisotropic diffusion techniques for seismic signal enhancing - Carpathian Foredeep study." E3S Web of Conferences 66 (2018): 01016. http://dx.doi.org/10.1051/e3sconf/20186601016.
Повний текст джерелаDyvak, M., V. Manzhula, A. Melnyk, and V. Tymchyshyn. "A System for Monitoring Air Pollution by Motor Vehicles Based on an Autonomous Air-Mobile Measuring Complex." Optoelectronic Information-Power Technologies 42, no. 2 (October 26, 2022): 73–83. http://dx.doi.org/10.31649/1681-7893-2021-42-2-73-83.
Повний текст джерелаDyvak, M., V. Manzhula, A. Melnyk, and V. Tymchyshyn. "A System for Monitoring Air Pollution by Motor Vehicles Based on an Autonomous Air-Mobile Measuring Complex." Optoelectronic Information-Power Technologies 42, no. 2 (October 26, 2022): 73–83. http://dx.doi.org/10.31649/1681-7893-2021-41-1-73-83.
Повний текст джерелаGandham, Rajesh, David Medina, and Timothy Warburton. "GPU Accelerated Discontinuous Galerkin Methods for Shallow Water Equations." Communications in Computational Physics 18, no. 1 (July 2015): 37–64. http://dx.doi.org/10.4208/cicp.070114.271114a.
Повний текст джерелаBhatti, Muhammad Mubashir, Anwar Shahid, Tehseen Abbas, Sultan Z. Alamri, and Rahmat Ellahi. "Study of Activation Energy on the Movement of Gyrotactic Microorganism in a Magnetized Nanofluids Past a Porous Plate." Processes 8, no. 3 (March 11, 2020): 328. http://dx.doi.org/10.3390/pr8030328.
Повний текст джерелаXu, Qingzhen. "A Novel Machine Learning Strategy Based on Two-Dimensional Numerical Models in Financial Engineering." Mathematical Problems in Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/659809.
Повний текст джерелаWu, Jianhong, Hossein Zivari-Piran, John D. Hunter, and John G. Milton. "Projective Clustering Using Neural Networks with Adaptive Delay and Signal Transmission Loss." Neural Computation 23, no. 6 (June 2011): 1568–604. http://dx.doi.org/10.1162/neco_a_00124.
Повний текст джерелаДисертації з теми "Differential equations, Nonlinear Data processing"
Cereijo, Martinez Maria. "A new parallel technique for the solution of sparse nonlinear equations." FIU Digital Commons, 1994. http://digitalcommons.fiu.edu/etd/2097.
Повний текст джерелаJakubowski, Volker G. "Nonlinear elliptic parabolic integro differential equations with L-data existence, uniqueness, asymptotic /." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=966250141.
Повний текст джерелаHe, Chuan. "Numerical solutions of differential equations on FPGA-enhanced computers." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1248.
Повний текст джерелаZhang, Chun Yang. "A second order ADI method for 2D parabolic equations with mixed derivative." Thesis, University of Macau, 2012. http://umaclib3.umac.mo/record=b2592940.
Повний текст джерелаSheng, Shan Liang. "Classical and Bayesian approaches to nonlinear models based on human in vivo cadmium data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0001/NQ42878.pdf.
Повний текст джерелаKarasev, Peter A. "Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50257.
Повний текст джерелаChalla, Subhash. "Nonlinear state estimation and filtering with applications to target tracking problems." Thesis, Queensland University of Technology, 1998.
Знайти повний текст джерелаLazcano, Vanel. "Some problems in depth enhanced video processing." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/373917.
Повний текст джерелаEn esta tesis se abordan dos problemas: interpolación de datos en el contexto del cálculo de disparidades tanto para imágenes como para video, y el problema de la estimación del movimiento aparente de objetos en una secuencia de imágenes. El primer problema trata de la completación de datos de profundidad en una región de la imagen o video dónde los datos se han perdido debido a oclusiones, datos no confiables, datos dañados o pérdida de datos durante la adquisición. En esta tesis estos problemas se abordan de dos maneras. Primero, se propone una energía basada en gradientes no-locales, energía que puede (localmente) completar planos. Se considera este modelo como una extensión del filtro bilateral al dominio del gradiente. Se ha evaluado en forma exitosa el modelo para completar datos sintéticos y también mapas de profundidad incompletos de un sensor Kinect. El segundo enfoque, para abordar el problema, es un estudio experimental del biased AMLE (Biased Absolutely Minimizing Lipschitz Extension) para interpolación anisotrópica de datos de profundidad en grandes regiones sin información. El operador AMLE es un interpolador de conos, pero el operador biased AMLE es un interpolador de conos exponenciales lo que lo hace estar más adaptado a mapas de profundidad de escenas reales (las que comunmente presentan superficies convexas, concavas y suaves). Además, el operador biased AMLE puede expandir datos de profundidad a regiones grandes. Considerando al dominio de la imagen dotado de una métrica anisotrópica, el método propuesto puede tomar en cuenta información geométrica subyacente para no interpolar a través de los límites de los objetos a diferentes profundidades. Se ha propuesto un modelo numérico, basado en el operador eikonal, para calcular la solución del biased AMLE. Adicionalmente, se ha extendido el modelo numérico a sequencias de video. El cálculo del flujo óptico es uno de los problemas más desafiantes para la visión por computador. Los modelos tradicionales fallan al estimar el flujo óptico en presencia de oclusiones o iluminación no uniforme. Para abordar este problema se propone un modelo variacional para conjuntamente estimar flujo óptico y oclusiones. Además, el modelo propuesto puede tolerar, una limitación tradicional de los métodos variacionales, desplazamientos rápidos de objetos que son más grandes que el tamaño objeto en la escena. La adición de un término para el balance de gradientes e intensidades aumenta la robustez del modelo propuesto ante cambios de iluminación. La inclusión de correspondencias adicionales (obtenidas usando búsqueda exhaustiva en ubicaciones específicas) ayuda a estimar grandes desplazamientos.
Michel, Thomas. "Analyse mathématique et calibration de modèles de croissance tumorale." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0222/document.
Повний текст джерелаIn this thesis, we present several works on the study and the calibration of partial differential equations models for tumor growth. The first part is devoted to the mathematical study of a model for tumor drug resistance in the case of gastro-intestinal tumor (GIST) metastases to the liver. The model we study consists in a coupled partial differential equations system and takes several treatments into account, such as a anti-angiogenic treatment. This model is able to reproduce clinical data. In a first part, we present the proof of the existence/uniqueness of the solution to this model. Then, in a second part, we study the asymptotic behavior of the solution when a parameter of this model, describing the capacity of the tumor to evacuate the necrosis, goes to 0. In the second part of this thesis, we present the development of model for tumor spheroids growth. We also present the model calibration thanks to in vitro experimental data. The main objective of this work is to reproduce quantitatively the proliferative cell distribution in a spheroid, as a function of the concentration of nutrients. The modeling and calibration of this model have been done thanks to experimental data consisting of proliferative cells distribution in a spheroid
Antelo, Junior Ernesto Willams Molina. "Estimação conjunta de atraso de tempo subamostral e eco de referência para sinais de ultrassom." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2616.
Повний текст джерелаEm ensaios não destrutivos por ultrassom, o sinal obtido a partir de um sistema de aquisição de dados real podem estar contaminados por ruído e os ecos podem ter atrasos de tempo subamostrais. Em alguns casos, esses aspectos podem comprometer a informação obtida de um sinal por um sistema de aquisição. Para lidar com essas situações, podem ser utilizadas técnicas de estimativa de atraso temporal (Time Delay Estimation ou TDE) e também técnicas de reconstrução de sinais, para realizar aproximações e obter mais informações sobre o conjunto de dados. As técnicas de TDE podem ser utilizadas com diversas finalidades na defectoscopia, como por exemplo, para a localização precisa de defeitos em peças, no monitoramento da taxa de corrosão em peças, na medição da espessura de um determinado material e etc. Já os métodos de reconstrução de dados possuem uma vasta gama de aplicação, como nos NDT, no imageamento médico, em telecomunicações e etc. Em geral, a maioria das técnicas de estimativa de atraso temporal requerem um modelo de sinal com precisão elevada, caso contrário, a localização dessa estimativa pode ter sua qualidade reduzida. Neste trabalho, é proposto um esquema alternado que estima de forma conjunta, uma referência de eco e atrasos de tempo para vários ecos a partir de medições ruidosas. Além disso, reinterpretando as técnicas utilizadas a partir de uma perspectiva probabilística, estendem-se suas funcionalidades através de uma aplicação conjunta de um estimador de máxima verossimilhança (Maximum Likelihood Estimation ou MLE) e um estimador máximo a posteriori (MAP). Finalmente, através de simulações, resultados são apresentados para demonstrar a superioridade do método proposto em relação aos métodos convencionais.
Abstract (parágrafo único): In non-destructive testing (NDT) with ultrasound, the signal obtained from a real data acquisition system may be contaminated by noise and the echoes may have sub-sample time delays. In some cases, these aspects may compromise the information obtained from a signal by an acquisition system. To deal with these situations, Time Delay Estimation (TDE) techniques and signal reconstruction techniques can be used to perform approximations and also to obtain more information about the data set. TDE techniques can be used for a number of purposes in the defectoscopy, for example, for accurate location of defects in parts, monitoring the corrosion rate in pieces, measuring the thickness of a given material, and so on. Data reconstruction methods have a wide range of applications, such as NDT, medical imaging, telecommunications and so on. In general, most time delay estimation techniques require a high precision signal model, otherwise the location of this estimate may have reduced quality. In this work, an alternative scheme is proposed that jointly estimates an echo model and time delays for several echoes from noisy measurements. In addition, by reinterpreting the utilized techniques from a probabilistic perspective, its functionalities are extended through a joint application of a maximum likelihood estimator (MLE) and a maximum a posteriori (MAP) estimator. Finally, through simulations, results are presented to demonstrate the superiority of the proposed method over conventional methods.
Книги з теми "Differential equations, Nonlinear Data processing"
Methods for solving systems of nonlinear equations. 2nd ed. Philadelphia: Society for Industrial and Applied Mathematics, 1998.
Знайти повний текст джерелаCarlos, Lizárraga-Celaya, ed. Solving nonlinear partial differential equations with Maple and Mathematica. Wien: Springer, 2011.
Знайти повний текст джерелаM, Kytmanov A., Lazman M. Z та Aĭzenberg Lev Abramovich 1937-, ред. Metody iskli͡u︡chenii͡a︡ v kompʹi͡u︡ternoĭ algebre mnogochlenov. Novosibirsk: "Nauka," Sibirskoe otd-nie, 1991.
Знайти повний текст джерелаBykov, V. I. Elimination methods in polynomial computer algebra. Dordrecht: Kluwer Academic Publishers, 1998.
Знайти повний текст джерелаLang, Jens. Adaptive multilevel solution of nonlinear parabolic PDE systems: Theory, algorithm, and applications. Berlin: Springer, 2001.
Знайти повний текст джерелаElimination practice: Software tools and applications. London: Imperial College Press, 2004.
Знайти повний текст джерела1963-, Kunoth Angela, and SpringerLink (Online service), eds. Multiscale, Nonlinear and Adaptive Approximation: Dedicated to Wolfgang Dahmen on the Occasion of his 60th Birthday. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.
Знайти повний текст джерелаMeurer, Thomas. Control of Higher–Dimensional PDEs: Flatness and Backstepping Designs. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Знайти повний текст джерелаTikhonenko, A. V. Integrirovanie uravneniĭ dvizhenii︠a︡ zari︠a︡zhennykh chastit︠s︡ v MAPLE: Monografii︠a︡. Obninsk: IATĖ, 2007.
Знайти повний текст джерела1955-, Coombes Kevin Robert, ed. Differential equations with Maple. New York: Wiley, 1996.
Знайти повний текст джерелаЧастини книг з теми "Differential equations, Nonlinear Data processing"
Zobitz, John M. "Systems of Nonlinear Differential Equations." In Exploring Modeling with Data and Differential Equations Using R, 203–14. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003286974-16.
Повний текст джерелаKreinovich, Vladik, Anatoly Lakeyev, Jiří Rohn, and Patrick Kahl. "Solving Differential Equations." In Computational Complexity and Feasibility of Data Processing and Interval Computations, 219–23. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2793-7_20.
Повний текст джерелаAstuti, P., M. Corless, and D. Williamson. "On the Convergence of Sampled Data Nonlinear Systems." In Differential Equations Theory, Numerics and Applications, 201–10. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5157-3_10.
Повний текст джерелаClarenz, Ulrich, Gerhard Dziuk, and Martin Rumpf. "On Generalized Mean Curvature Flow in Surface Processing." In Geometric Analysis and Nonlinear Partial Differential Equations, 217–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55627-2_14.
Повний текст джерелаHorbelt, Werner, Thorsten Müller, Jens Timmer, Werner Melzer, and Karl Winkler. "Analysis of Nonlinear Differential Equations: Parameter Estimation and Model Selection." In Medical Data Analysis, 152–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-39949-6_19.
Повний текст джерелаHubený, Jan, Pavel Matula, Petr Matula, and Michal Kozubek. "Improved 3D Reconstruction of Interphase Chromosomes Based on Nonlinear Diffusion Filtering." In Image Processing Based on Partial Differential Equations, 163–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33267-1_10.
Повний текст джерелаChan, Tony F., Ke Chen, and Xue-Cheng Tai. "Nonlinear Multilevel Schemes for Solving the Total Variation Image Minimization Problem." In Image Processing Based on Partial Differential Equations, 265–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33267-1_15.
Повний текст джерелаKamimura, Yutaka. "Inverse Problems of Determining Nonlinear Terms in Ordinary Differential Equations." In Inverse Problems, Tomography, and Image Processing, 87–94. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4020-7975-7_6.
Повний текст джерелаVillegas, Rossmary, Oliver Dorn, Miguel Moscoso, and Manuel Kindelan. "Shape Reconstruction from Two-Phase Incompressible Flow Data using Level Sets." In Image Processing Based on Partial Differential Equations, 381–401. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33267-1_21.
Повний текст джерелаMahalov, A., B. Nicolaenko, C. Bardos, and F. Golse. "Regularity of Euler Equations for a Class of Three-Dimensional Initial Data." In Progress in Nonlinear Differential Equations and Their Applications, 161–85. Basel: Birkhäuser Basel, 2005. http://dx.doi.org/10.1007/3-7643-7317-2_13.
Повний текст джерелаТези доповідей конференцій з теми "Differential equations, Nonlinear Data processing"
Liu, Zeyi, Zhong Liu, Yanghe Feng, Qing Cheng, Xingxing Liang, Rongxiao Wang, Yuling Yang, Naifu Xu, and Yan Li. "Quasi-Spectral Method for Nonlinear Partial Differential KdV Equation in Image Processing." In 2019 5th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2019. http://dx.doi.org/10.1109/bigdia.2019.8802837.
Повний текст джерелаКрысько, Вадим, Vadim Krys'ko, Ирина Папкова, Irina Papkova, Екатерина Крылова, Ekaterina Krylova, Антон Крысько, and Anton Krysko. "Visualization of Transition's Scenarios from Harmonic to Chaotic Flexible Nonlinear-elastic Nano Beam's Oscillations." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-2-62-65.
Повний текст джерелаMahmoodi, S. Nima, Amin Salehi-Khojin, and Mehdi Ahmadian. "Nonlinear Force Analysis of Atomic Force Microscopy." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48482.
Повний текст джерелаЯковлева, Татьяна, Tat'yana Yakovleva, Валентин Баженов, Valentin Bazhenov, Вадим Крысько, and Vadim Krys'ko. "Mathematical Modeling of the Contact Interaction of Plate and Beam in Color Noise Field." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-1-113-115.
Повний текст джерелаRAUTELA, MAHINDRA, MANISH RAUT, and S. GOPALAKRISHNAN. "SIMULATION OF GUIDED WAVES FOR STRUCTURAL HEALTH MONITORING USING PHYSICS-INFORMED NEURAL NETWORKS." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36297.
Повний текст джерелаChen, Yu, JinRong Wang, and XiaoKai Cao. "Iterative Learning Control for Nonlinear Stieltjes Differential Equations." In 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2019. http://dx.doi.org/10.1109/ddcls.2019.8908903.
Повний текст джерелаSarkka, Simo. "On Sequential Monte Carlo Sampling of Discretely Observed Stochastic Differential Equations." In 2006 IEEE Nonlinear Statistical Signal Processing Workshop. IEEE, 2006. http://dx.doi.org/10.1109/nsspw.2006.4378811.
Повний текст джерелаCheng, Jun, and Jeffrey M. Falzarano. "System Identification of Nonlinear Coupled Ship/Offshore Platform Dynamics in Beam Seas." In ASME 2003 22nd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2003. http://dx.doi.org/10.1115/omae2003-37336.
Повний текст джерелаHan, Xizhen, and Zhao Jian. "A nonlinear image enhancement algorithm based on partial differential equations." In 2010 10th International Conference on Signal Processing (ICSP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icosp.2010.5655875.
Повний текст джерелаLuo, Juan, Zhimin Luo, and He Qingyan. "On the Asymptotic Behavior of Second Order Nonlinear Differential Equations." In 2010 International Symposium on Intelligence Information Processing and Trusted Computing (IPTC). IEEE, 2010. http://dx.doi.org/10.1109/iptc.2010.57.
Повний текст джерелаЗвіти організацій з теми "Differential equations, Nonlinear Data processing"
Osher, Stanley, and Leonid Rudin. Feature-Oriented Signal Processing Under Nonlinear Partial Differential Equations. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada259951.
Повний текст джерела