Добірка наукової літератури з теми "Adaptative modeling"
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Статті в журналах з теми "Adaptative modeling":
Labeas, G. N., S. D. Belesis, I. Diamantakos, and K. I. Tserpes. "Adaptative Progressive Damage Modeling for Large-scale Composite Structures." International Journal of Damage Mechanics 21, no. 3 (May 6, 2011): 441–62. http://dx.doi.org/10.1177/1056789511400928.
Bonfoh, Napo, Edem Novinyo, and Paul Lipinski. "Modeling of bone adaptative behavior based on cells activities." Biomechanics and Modeling in Mechanobiology 10, no. 5 (December 7, 2010): 789–98. http://dx.doi.org/10.1007/s10237-010-0274-y.
Bouzid, Chiraz, Naoufel Kraiem, and Camille Salinesi. "Using Product Lines Techniques to Specify Self-Adaptative Systems." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 5, no. 2 (August 30, 2013): 470–77. http://dx.doi.org/10.24297/ijmit.v5i2.762.
Gagliano, Antonio, Francesco Nocera, Maria Bruno, and Ignazio Blanco. "Effectiveness of thermodynamic adaptative equilibrium models for modeling the pyrolysis process." Sustainable Energy Technologies and Assessments 27 (June 2018): 74–82. http://dx.doi.org/10.1016/j.seta.2018.03.006.
Liu, Meng, and Linqing Yang. "Northward expansion of fire-adaptative vegetation in future warming." Environmental Research Letters 17, no. 2 (January 26, 2022): 024008. http://dx.doi.org/10.1088/1748-9326/ac417d.
Louzada, Francisco, Taciana KO Shimizu, and Adriano K. Suzuki. "The Spike-and-Slab Lasso regression modeling with compositional covariates: An application on Brazilian children malnutrition data." Statistical Methods in Medical Research 29, no. 5 (July 23, 2019): 1434–46. http://dx.doi.org/10.1177/0962280219863817.
Lorenzo-Aparicio, Andrés. "The Potential of Modeling Process for Social Sciences and Social Work." Ehquidad Revista Internacional de Políticas de Bienestar y Trabajo Social, no. 15 (January 10, 2021): 113–34. http://dx.doi.org/10.15257/ehquidad.2021.0005.
Ferreira, V. G., A. C. Brandi, F. A. Kurokawa, P. Seleghim Jr., A. Castelo та J. A. Cuminato. "Incompressible Turbulent Flow Simulation Using theκ-ɛModel and Upwind Schemes". Mathematical Problems in Engineering 2007 (2007): 1–26. http://dx.doi.org/10.1155/2007/12741.
Samper-García, Paula, Vicenta Mestre-Escrivá, Elisabeth Malonda-Vidal, and Belén Mesurado. "Victimización en la escuela: relación de la crianza y variables funcionales- disfuncionales del desarrollo." Anales de Psicología 31, no. 3 (September 16, 2015): 849. http://dx.doi.org/10.6018/analesps.31.3.173291.
Figorilli, Simone, Federico Pallottino, Giacomo Colle, Daniele Spada, Claudio Beni, Francesco Tocci, Simone Vasta, et al. "An Open Source Low-Cost Device Coupled with an Adaptative Time-Lag Time-Series Linear Forecasting Modeling for Apple Trentino (Italy) Precision Irrigation." Sensors 21, no. 8 (April 9, 2021): 2656. http://dx.doi.org/10.3390/s21082656.
Дисертації з теми "Adaptative modeling":
Faisal, Behadili Suhad. "Adaptative modeling of urban dynamics with mobile phone database." Thesis, Le Havre, 2016. http://www.theses.fr/2016LEHA0017/document.
In this study, we are interested in the study of urban mobility from traces of mobile data that were provided by the operator Orange. The data provided relate to the region of the city of Rouen, during an ephemeral event that is the Armada of 2008. In a first study, a large amount of data is managed to extract characteristics allowing to qualify the uses of the city during ephemeral events, depending on the days of activity of the individuals. Visualizations are given and make it possible to understand the mobilities generated in a specific way during the event. In the second part, we study the reconstruction of trajectories with aggregated approaches inspired by statistical physics techniques in order to reveal behaviors according to periods of activity and a spatial division in large urban areas. In order to obtain the general mobility law by observing distributions in power law characteristic for the studied complex system
ARAUJO, TEREZA DENYSE PEREIRA DE. "ELASTO-PLASTIC ADAPTATIVE ANALYSIS FOR MODELING FRACTURE PROCESSES OF TWO-DIMENSIONAL STRUCTURES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1999. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=1885@1.
A análise de problemas mecânicos e estruturais, pelo método dos elementos finitos,requer do analista certa experiência na discretização do modelo para minimizar os erros das soluções. A geração da malha é uma tarefa árdua, que torna- se ainda mais difícil quando trincas estão presentes no modelo. Em um modelo discreto, cada vez que a trinca propaga, a geometria do modelo muda e a malha deve ser atualizada. Neste trabalho é apresentado um sistema gráfico interativo, para modelagem bidimensional de problemas de fraturamento estrutural. O sistema permite introduzir trincas em qualquer posição no modelo, regenerando sua malha e executando um processo auto-adaptativo de elementos finitos. Este sistema pode ser usado para problemas mecânicos, com ou sem trincas, elásticos lineares ou elastoplásticos. O processo auto-adaptativo está baseado em estimadores de erro a posteriori, com refinamento do tipo h. Três tipos de estimadores estão disponíveis. O primeiro, baseado na norma de energia, é aplicado na análise de problemas elásticos lineares. O segundo e o terceiro, baseados em tensão efetiva e na razão do trabalho plástico, respectivamente, são aplicados na análise de problemas elastoplásticos. A geração da malha está baseada em técnicas de enumeração espacial recursiva, que consiste de uma partição em árvore binária (binary tree) para as curvas do contorno, incluindo as curvas das trincas, e uma partição em árvore quaternária (quadtree) para a geração da malha no domínio. O sistema integra diferentes ferramentas: um modelador geométrico que cria a geometria do modelo, um pré-processador que gera a malha e aplica os atributos, um módulo de análise numérica que avalia a resposta de elementos finitos e um módulo, chamado de módulo adaptativo, que faz o gerenciamento do processo adaptativo das malhas e que também é um pós-processador que auxilia na visualização dos resultados, inclusive dos parâmetros de fratura. No processo adaptativo não linear, uma interpolação das variáveis de solução é realizada entre malhas para que a análise incremental da plasticidade continue. O critério deA análise de problemas mecânicos e estruturais, pelo método dos elementos finitos, requer do analista certa experiência na discretização do modelo para minimizar os erros das soluções. A geração da malha é uma tarefa árdua, que torna-se ainda mais difícil quando trincas estão presentes no modelo. Em um modelo discreto, cada vez que a trinca propaga, a geometria do modelo muda e a malha deve ser atualizada. Neste trabalho é apresentado um sistema gráfico interativo, para modelagem bidimensional de problemas de fraturamento estrutural. O sistema permite introduzir trincas em qualquer posição no modelo, regenerando sua malha e executando um processo auto-adaptativo de elementos finitos. Este sistema pode ser usado para problemas mecânicos, com ou sem trincas, elásticos lineares ou elastoplásticos. O processo auto-adaptativo está baseado em estimadores de erro a posteriori, com refinamento do tipo h. Três tipos de estimadores estão disponíveis. O primeiro, baseado na norma de energia, é aplicado na análise de problemas elásticos lineares. O segundo e o terceiro, baseados em tensão efetiva e na razão do trabalho plástico, respectivamente, são aplicados na análise de problemas elastoplásticos. A geração da malha está baseada em técnicas de enumeração espacial recursiva, que consiste de uma partição em árvore binária (binary tree) para as curvas do contorno, incluindo as curvas das trincas, e uma partição em árvore quaternária (quadtree) para a geração da malha no domínio. O sistema integra diferentes ferramentas: um modelador geométrico que cria a geometria do modelo, um pré-processador que gera a malha e aplica os atributos, um módulo de análise numérica que avalia a resposta de elementos finitos e um m
The numerical analysis of structural and mechanical problems by the finite element method requires, by the analyst, some knowledge and experience on mesh refinement. Mesh generation is a difficult task, especially when the model contains cracks. As the crack propagates in the discret model, the geometry of the model changes and the mesh must be updated. This work presents an interactive graphics system for modeling fracture processes of two-dimensional structures. This system may consider any number of cracks that can be inserted in the model at any position, with automatic and adaptive finite element mesh generation. The system can be used for linear and elastic-plastic mechanical problems, with and without cracks. The self-adaptive process is based on an h-type refinement, with an a posteriori error estimation. Three types of error estimators are available. The first, which is based on the energy norm, is used for elastic- linear analysis. The second and the third, which are based on effective stress and on ratio of plastic work, respectively, are used for elastic-plastic analysis. Mesh generation is based on spatial decomposition techniques, which consists on a binary tree partition of boundary curves, including crack curves, and on a quadtree partition for the domain refinement. The system incorporates the following components: a geometric modeler to create the model geometry, a pre- processor that generates the initial mesh and applies model attributes, a numerical analysis module that evaluates the finite element response, and a module, called the adaptive module, that manages the adaptive process of mesh generation. The latter module also incorporates post-processing features that assist in the visualization of analysis results, including fracture parameters. In the non- linear adaptive process for incremental plasticity analysis, it is used a technique for interpolating analysis variables across distinct meshes. The von Mises yielding criterion, with isotropic hardening, is used. Some examples are presented to evaluate the methods for computing fracture analysis parameters and the performance of the adaptive process.
El análisis de problemas mecánicos y extructurales, por el método de los elementos finitos, requiere del analista cierta experiencia en la discretización del modelo para minimizar el error de la solución. La generación de la malla es una tarea árdua, que resulta todavía más difícil cuando grietas están presentes en el modelo. En un modelo discreto, cada vez que la grietas se propaga, la geometría del modelo muda y se debe actualizar la malla. En este trabajo se presenta un sistema gráfico interactivo, para modelaje bidimensional de problemas de fractura extructural. El sistema permite introducir grietas en cualquier posición en el modelo, regenerando su malla y ejecutando un proceso autoadaptativo de elementos finitos. Este sistema puede ser usado en problemas mecánicos, con o sin grietas, elásticos lineales o elastoplásticos. EL proceso autoadaptativo está basado en estimadores a posteriori del error, con refinamientodel tipo h. Tres tipos de estimadores están disponibles. El primeiro, basado en la norma de energía, se aplica en el análisis de problemas elásticos lineales. El segundo y el tercero, basados en tensión efectiva y en la razón del trabajo plástico, respectivamente, se aplican en el análisis de problemas elastoplásticos. La generación de la malla está basada en técnicas de enumeración espacial recursiva, que consiste de una partición en árbol binaria (binary tree) para las curvas del contorno, incluyendo las curvas de las grietas, y una partición en árbol cuaternaria (quadtree) para la generación de la malla en el dominio. El sistema integra diferentes herramientas: un modelador geométrico que crea la geometría del modelo, un préprocesador que genera la malla y aplica los atributos, un módulo de análisis numérico que evalúa la resposta de elementos finitos y un módulo, llamado de módulo adaptativo, que se encarga de gerenciar el proceso adaptativo de las mallas y que también constituye un posprocesador que auxilia en la visualización de los resultados, incluso de los parámetros de fractura. En el proceso adaptativo no lineal, la interpolación de las variables de solución se realiza entre mallas para que el análisis incremental de la plasticidad continue. Se presentan ejemplos que permiten evaluar los métodos de cálculo de los parámetros de fractura y el desempeño del proceso adaptativo.
Ahmad, Manzoor. "Modeling and verification of functional and non functional requirements of ambient, self adaptative systems." Phd thesis, Université Toulouse le Mirail - Toulouse II, 2013. http://tel.archives-ouvertes.fr/tel-00965934.
Andrade, Restrepo Martín. "Mathematical modeling and evolutionary processes." Thesis, Sorbonne Paris Cité, 2019. http://www.theses.fr/2019USPCC021.
The research presented in this thesis concerns different topics in the field of Biomathematics. I address diverse questions arising in biology (and related to complex systems) with mathematical and numerical methods. These questions are: (i) Are passive-processes enough to justify the asymmetric distribution of damaged proteins during and after yeast cytokinesis? (ii) What processes are behind the complex patterns of expansion of Amyloid beta in the brains of patients with Alzheimer’s disease? (iii) What is behind the clustering and cline-like dichotomy in models of evolution along environmental gradients? (iv) How does this dichotomy affect the spatial dynamics of invasions and range expansions? (v) How does multi-stability manifest in these models? These questions are approached (at different scales, some fully and some partially) with different theoretical methods. Results are expected to shed light on the biological processes analyzed and to motivate further experimental and empirical work which can help solve lingering uncertainties
Ghnemat, Rawan. "Modélisation adaptative pour l'émergence spatiale dans les systèmes complexes." Phd thesis, Université du Havre, 2009. http://tel.archives-ouvertes.fr/tel-00429162.
Dutot, Antoine. "Distribution dynamique adaptative à l'aide de mécanismes d'intelligence collective." Phd thesis, Université du Havre, 2005. http://tel.archives-ouvertes.fr/tel-00453910.
Huynh, Ngoc Tho. "A development process for building adaptative software architectures." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0026/document.
Adaptive software is a class of software which is able to modify its own internal structure and hence its behavior at runtime in response to changes in its operating environment. Adaptive software development has been an emerging research area of software engineering in the last decade. Many existing approaches use techniques issued from software product lines (SPLs) to develop adaptive software architectures. They propose tools, frameworks or languages to build adaptive software architectures but do not guide developers on the process of using them. Moreover, they suppose that all elements in the SPL specified are available in the architecture for adaptation. Therefore, the adaptive software architecture may embed unnecessary elements (components that will never be used) thus limiting the possible deployment targets. On the other hand, the components replacement at runtime remains a complex task since it must ensure the validity of the new version, in addition to preserving the correct completion of ongoing activities. To cope with these issues, this thesis proposes an adaptive software development process where tasks, roles, and associate artifacts are explicit. The process aims at specifying the necessary information for building adaptive software architectures. The result of such process is an adaptive software architecture that only contains necessary elements for adaptation. On the other hand, an adaptation mechanism is proposed based on transactions management for ensuring consistent dynamic adaptation. Such adaptation must guarantee the system state and ensure the correct completion of ongoing transactions. In particular, transactional dependencies are specified at design time in the variability model. Then, based on such dependencies, components in the architecture include the necessary mechanisms to manage transactions at runtime consistently
Carcreff, Ewen. "Déconvolution adaptative pour le contrôle non destructif par ultrasons." Thesis, Le Mans, 2014. http://www.theses.fr/2014LEMA1009/document.
This thesis deals with the ultrasonic non destructive testing of industrial parts. During real experiments, the signals received by the acoustic transducer are analyzed to detect the discontinuities of the part under test. This analysis can be a difficult task due to digital acquisition, propagation effects and echo overlapping if discontinuities are close. Sparse deconvolution is an inverse method that aims to estimate the precise positions of the discontinuities. The underlying hypothesis of this method is a sparse distribution of the solution, which means there are a few number of discontinuities. In the literature, deconvolution is addressed by a linear time-invariant model as a function of propagation distance, which in reality does not hold.The purpose of this thesis is therefore to develop a model and associated methods in order to cancel the effects of acquisition, propagation and echo overlapping. The first part is focused on the direct model development. In particular, we build a linear time-variant model that takes into account dispersive attenuation. This model is validated with experimental data acquired from attenuative materials. The second part of this work concerns the development of efficient sparse deconvolution algorithms, addressing the minimization of a least squares criterion penalized by a L0 pseudo-norm. Specific algorithms are developed for up-sampled deconvolution, and more robust exploration strategies are built for data containing oscillating waveforms. By using synthetic and experimental data, we show that the developed methods lead to better results compared to standard approaches for a competitive computation time. The proposed methods are then applied to real non destructive testing problems where they confirm their efficiency
Biot, Claire. "BCG immunotherapy for bladder cancer : characterization and modeling of the bladder immune response to BCG identify strategies for improving anti-tumor activity." Paris 6, 2012. http://www.theses.fr/2012PA066009.
Intravesical instillation of bacillus Calmette-Guérin (BCG) for bladder cancer is one of the few examples of successful immunotherapy in the clinic, though its precise mechanisms of action remain unclear. I established a mouse model to study the dynamics of the immune response following intravesical BCG. I demonstrated that BCG dissemination to bladder draining lymph nodes and T cell priming could occur following a single instillation; yet, repeated instillations with live BCG were necessary for a robust T cell infiltration in the bladder. Subcutaneous immunization with BCG prior to intravesical instillation overcame this requirement, triggering enhanced inflammation, suggestive of a delayed-type hypersensitivity reaction, and accelerating T cell entry into the bladder. Such findings translated into an improved anti-tumor response in mice that were subcutaneously immunized with BCG prior to intravesical treatment of an orthotopic tumor, while analysis of clinical data showed that patients with pre-existing immunity to BCG had significantly longer recurrence-free survival. I also contributed to construct and parameterize a mathematical model describing the interactions between BCG, the immune system, bladder mucosa and tumor cells. The model suggested a requirement for the adaptive immune response to achieve tumor extinction rates similar to the clinic, and helped predict optimal clinical parameters for BCG therapy. Together these data provide new insights into a long-standing clinically effective immunotherapy and predict strategies that may improve patient management, such as the parenteral exposure of patients without immune signature to BCG prior to intravesical therapy
Xie, Meiling. "Indoor radio propagation modeling for system performance prediction." Thesis, Lyon, INSA, 2013. http://www.theses.fr/2013ISAL0074/document.
This thesis aims at proposing all the possible enhancements for the Multi-Resolution Frequency-Domain ParFlow (MR-FDPF) model. As a deterministic radio propagation model, the MR-FDPF model possesses the property of a high level of accuracy, but it also suffers from some common limitations of deterministic models. For instance, realistic radio channels are not deterministic but a kind of random processes due to, e.g. moving people or moving objects, thus they can not be completely described by a purely deterministic model. In this thesis, a semi-deterministic model is proposed based on the deterministic MR-FDPF model which introduces a stochastic part to take into account the randomness of realistic radio channels. The deterministic part of the semi-deterministic model is the mean path loss, and the stochastic part comes from the shadow fading and the small scale fading. Besides, many radio propagation simulators provide only the mean power predictions. However, only mean power is not enough to fully describe the behavior of radio channels. It has been shown that fading has also an important impact on the radio system performance. Thus, a fine radio propagation simulator should also be able to provide the fading information, and then an accurate Bit Error Rate (BER) prediction can be achieved. In this thesis, the fading information is extracted based on the MR-FDPF model and then a realistic BER is predicted. Finally, the realistic prediction of the BER allows the implementation of the adaptive modulation scheme. This has been done in the thesis for three systems, the Single-Input Single-Output (SISO) systems, the Maximum Ratio Combining (MRC) diversity systems and the wideband Orthogonal Frequency-Division Multiplexing (OFDM) systems
Книги з теми "Adaptative modeling":
Kondrup, Claus, Paola Mercogliano, Francesco Bosello, Jaroslav Mysiak, Enrico Scoccimarro, Angela Rizzo, Rhian Ebrey, Marleen de Ruiter, Ad Jeuken, and Paul Watkiss, eds. Climate Adaptation Modelling. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4.
Masthoff, Judith, Bamshad Mobasher, Michel C. Desmarais, and Roger Nkambou, eds. User Modeling, Adaptation, and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31454-4.
De Bra, Paul, Alfred Kobsa, and David Chin, eds. User Modeling, Adaptation, and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13470-8.
Ricci, Francesco, Kalina Bontcheva, Owen Conlan, and Séamus Lawless, eds. User Modeling, Adaptation and Personalization. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20267-9.
Dimitrova, Vania, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, and Geert-Jan Houben, eds. User Modeling, Adaptation, and Personalization. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3.
Carberry, Sandra, Stephan Weibelzahl, Alessandro Micarelli, and Giovanni Semeraro, eds. User Modeling, Adaptation, and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38844-6.
Houben, Geert-Jan, Gord McCalla, Fabio Pianesi, and Massimo Zancanaro, eds. User Modeling, Adaptation, and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02247-0.
Surampalli, Rao Y. Climate change modeling, mitigation, and adaptation. Reston, Virginia: American Society of Civil Engineers, 2013.
Martín, Estefanía, Pablo A. Haya, and Rosa M. Carro, eds. User Modeling and Adaptation for Daily Routines. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4778-7.
Bürgler, Josef F. Discretization and grid adaptation in semiconductor device modeling. Konstanz: Hartung-Gorre, 1990.
Частини книг з теми "Adaptative modeling":
Boschian, V., A. Pruski, and C. Laurent. "Adaptative Grid for Autonomous Robot, Environment Modeling." In Advances in Robot Kinematics, 28–36. Vienna: Springer Vienna, 1991. http://dx.doi.org/10.1007/978-3-7091-4433-6_4.
Flores-Moreno, J. M., Cosme Furlong, and John J. Rosowski. "Adaptative reconstruction distance in a lensless Digital Holographic Otoscope." In Optical Measurements, Modeling, and Metrology, Volume 5, 229–34. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0228-2_27.
Lamolle, Myriam, Maurizio Mancini, Catherine Pelachaud, Sarkis Abrilian, Jean-Claude Martin, and Laurence Devillers. "Contextual Factors and Adaptative Multimodal Human-Computer Interaction: Multi-level Specification of Emotion and Expressivity in Embodied Conversational Agents." In Modeling and Using Context, 225–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11508373_17.
Duval, Arnaud, Yves Chemisky, Mohamed Haboussi, and Tarak Ben Zineb. "Modeling of the Martensite Transformation and Reorientation in SMA under Thermomechanical Loading. Design of Finite Element Adaptative Micro-Components." In ICOMAT, 677–82. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118803592.ch104.
Müller, Gilbert. "Workflow Adaptation." In Workflow Modeling Assistance by Case-based Reasoning, 109–65. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-23559-8_5.
Dalpiaz, Fabiano, Estefanía Serral, Pedro Valderas, Paolo Giorgini, and Vicente Pelechano. "A NFR-Based Framework for User-Centered Adaptation." In Conceptual Modeling, 439–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34002-4_34.
Manousis, Petros, Panos Vassiliadis, and George Papastefanatos. "Automating the Adaptation of Evolving Data-Intensive Ecosystems." In Conceptual Modeling, 182–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41924-9_17.
Wang, Zheng, Ruimin Hu, Chao Liang, Junjun Jiang, Kaimin Sun, Qingming Leng, and Bingyue Huang. "Person Re-identification Using Data-Driven Metric Adaptation." In MultiMedia Modeling, 195–207. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14442-9_17.
Wang, Fei, Youdong Ding, Huan Liang, and Jing Wen. "Discriminative and Selective Pseudo-Labeling for Domain Adaptation." In MultiMedia Modeling, 365–77. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67832-6_30.
Holmes, Seth H. "Resilient Design Modeling." In Climate Adaptation and Resilience Across Scales, 6–34. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003030720-2.
Тези доповідей конференцій з теми "Adaptative modeling":
Alfonso, Ivan, Kelly Garces, Harold Castro, and Jordi Cabot. "Modeling self-adaptative IoT architectures." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00122.
Habieb-Mammar, Halima, Franck Tarpin-Bernard, and Patrick Prevot. "Modeling hypermedia documents for adaptative presentation." In the 15th French-speaking conference on human-computer interaction. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/1063669.1063685.
Castillo, O., and D. Blatter. "Modeling and Inversion 3D Electromagnetic Datasets on HPC Platforms." In 10th International Conference on Adaptative Modeling and Simulation. CIMNE, 2021. http://dx.doi.org/10.23967/admos.2021.056.
Maier, R., and B. Verfürth. "Multiscale Scattering in Nonlinear Kerr-Type Media." In 10th International Conference on Adaptative Modeling and Simulation. CIMNE, 2021. http://dx.doi.org/10.23967/admos.2021.060.
Kollepara, K., J. Aguado, L. Silva, Y. Guennec, and S. Colliou. "Model Order Reduction of Parametric Mechanical Problems Involving Contacts." In 10th International Conference on Adaptative Modeling and Simulation. CIMNE, 2021. http://dx.doi.org/10.23967/admos.2021.055.
Valdés, G., A. Leygue, C. Binetruy, and A. Garcia. "Data-Driven Identification for Linear-Viscoelastic Materials." In 10th International Conference on Adaptative Modeling and Simulation. CIMNE, 2021. http://dx.doi.org/10.23967/admos.2021.033.
Muñoz, D., E. Nadal, J. Albelda, and J. Ródenas. "Prosthesis Optimization Using Contact Formulation in the Cartesian Grid Finite Element Method (cgFEM) Framework." In 10th International Conference on Adaptative Modeling and Simulation. CIMNE, 2021. http://dx.doi.org/10.23967/admos.2021.069.
Juárez, L., A. Villeda, and M. Capistrán. "Numerical Solution of the Cauchy Problem for the Laplace Equation: A Deterministic and Bayesian Approach." In 10th International Conference on Adaptative Modeling and Simulation. CIMNE, 2021. http://dx.doi.org/10.23967/admos.2021.064.
Legentil, C., J. Pellerin, P. Cupillard, and G. Caumon. "Testing Scenarios on Geological Models: Local Interface Insertion in a 2D Mesh and its Impact on Seismic Wave Simulation." In 10th International Conference on Adaptative Modeling and Simulation. CIMNE, 2021. http://dx.doi.org/10.23967/admos.2021.077.
Cavaliere, F., S. Zlotnik, R. Sevilla, X. Larrayoz, and P. Díez. "Nonintrusive Proper Generalized Decomposition Method for the Design Optimization of a Car." In 10th International Conference on Adaptative Modeling and Simulation. CIMNE, 2021. http://dx.doi.org/10.23967/admos.2021.061.
Звіти організацій з теми "Adaptative modeling":
Yang, Jie, Weier Lu, and Alex Waibel. Skin-Color Modeling and Adaptation,. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada327881.
Zimmerman, Albert H. Adaptation and Speciation in Genetic Modeling of Physical Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada514694.
Russell, H. A. J., and S. K. Frey. Canada One Water: integrated groundwater-surface-water-climate modelling for climate change adaptation. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329092.
Anderson, Timothy, A. R. Aminzadeh, Jennifer Drexler, and Wade Shen. Improved Phrase Translation Modeling Using Maximum A-Posteriori (MAP) Adaptation. Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ada604450.
Chen, Yan, Christopher Nwagboso, and Panagiotis Georgakis. Modelling Integrated Safety Systems With Collision Avoidance and Intelligent Speed Adaptation. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0260.
Guertin, Patrick J., Scott A. Tweddale, and George Z. Gertner. Prediction and Adaptation of Military Natural Infrastructure in Response to Climate Change: Forest Modeling. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada586630.
Pirohov, Vladyslav M., Anna M. Horlo, and Iryna S. Mintii. Software development of the algorithm of adaptating of the website design for people with color-blindness. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2888.
Neymark, J., M. Kennedy, R. Judkoff, J. Gall, D. Knebel, R. Henninger, M. Witte, et al. Airside HVAC BESTEST. Adaptation of ASHRAE RP 865 Airside HVAC Equipment Modeling Test Cases for ASHRAE Standard 140. Volume 1, Cases AE101-AE445. Office of Scientific and Technical Information (OSTI), March 2016. http://dx.doi.org/10.2172/1244668.
Tuller, Markus, Asher Bar-Tal, Hadar Heller, and Michal Amichai. Optimization of advanced greenhouse substrates based on physicochemical characterization, numerical simulations, and tomato growth experiments. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7600009.bard.
Banerjee, Onil, Martin Cicowiez, Ana Rios, and Cicero De Lima. Climate Change Impacts on Agriculture in Latin America and the Caribbean: An Application of the Integrated Economic-Environmental Modeling (IEEM) Platform. Inter-American Development Bank, November 2021. http://dx.doi.org/10.18235/0003794.