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Статті в журналах з теми "Model transfer approach"
KAYA, TUNCER, and MURAT ARIK. "REDUCED TRANSFER MATRIX APPROACH FOR ISING MODEL." International Journal of Modern Physics B 25, no. 21 (August 20, 2011): 2895–903. http://dx.doi.org/10.1142/s0217979211101235.
Повний текст джерелаBraylan, Alexander, and Risto Miikkulainen. "Object-Model Transfer in the General Video Game Domain." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 12, no. 1 (June 25, 2021): 136–42. http://dx.doi.org/10.1609/aiide.v12i1.12870.
Повний текст джерелаKAYA, TUNCER. "CORRELATED REDUCED TRANSFER MATRIX APPROACH FOR ISING MODEL." International Journal of Modern Physics B 26, no. 14 (May 16, 2012): 1250085. http://dx.doi.org/10.1142/s0217979212500853.
Повний текст джерелаHien, Ngo Le Huy, Luu Van Huy, and Nguyen Van Hieu. "Artwork style transfer model using deep learning approach." Cybernetics and Physics, Volume 10, 2021, Number 3 (October 30, 2021): 127–37. http://dx.doi.org/10.35470/2226-4116-2021-10-3-127-137.
Повний текст джерелаNakawaki, Darrell E., Sangwan Joo, and Fumio Miyazaki. "Skill transfer improved with a multi-model approach." Advanced Robotics 14, no. 5 (January 2000): 371–75. http://dx.doi.org/10.1163/156855300741654.
Повний текст джерелаMat Said, Noor Azura, Siti Mariam Bujang, Nor Aishah Buang, Harlina Harlizah Siraj @ Ramli, and Mohd Nasri Awang Besar. "CONCEPTUALIZING CRITICAL THINKING LEARNING TRANSFER MODEL: A QUALITATIVE APPROACH." Malaysian Journal of Learning and Instruction 18, Number 1 (January 31, 2021): 111–30. http://dx.doi.org/10.32890/mjli2021.18.1.5.
Повний текст джерелаEshratifar, Amir Erfan, Mohammad Saeed Abrishami, David Eigen, and Massoud Pedram. "A Meta-Learning Approach for Custom Model Training." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9937–38. http://dx.doi.org/10.1609/aaai.v33i01.33019937.
Повний текст джерелаAcharya, Sanjaya, Marcello Signorelli, Borut Vojinovic, and Žan Jan Oplotnik. "Alternative Approach to Economic Restructuring to Benefit the Poor – Sam Multipliers Analysis as Alternative Approach." Annals of the Alexandru Ioan Cuza University - Economics 60, no. 1 (July 1, 2013): 182–201. http://dx.doi.org/10.2478/aicue-2013-0016.
Повний текст джерелаAudit, P. "Transfer matrix approach to the three-dimensional Ising model." Journal of Physics A: Mathematical and General 20, no. 8 (June 1, 1987): 2187–97. http://dx.doi.org/10.1088/0305-4470/20/8/031.
Повний текст джерелаBao, W., J. Zhao, J. Chang, and Y. Qi. "Robust dynamic bumpless transfer: an exact model matching approach." IET Control Theory & Applications 6, no. 10 (July 5, 2012): 1341–50. http://dx.doi.org/10.1049/iet-cta.2011.0231.
Повний текст джерелаДисертації з теми "Model transfer approach"
Ramström, Eva. "Mass transfer and slag-metal reaction in ladle refining : a CFD approach." Licentiate thesis, Stockholm : KTH, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11864.
Повний текст джерела
In order to optimise the ladle treatment mass transfer modelling of aluminium addition and homogenisation time was carried out. It was stressed that incorporating slag-metal reactions into the mass transfer modelling strongly would enhance the reliability and amount of information to be analyzed from the CFD calculations.
In the present work, a thermodynamic model taking all the involved slag metal reactions into consideration was incorporated into a 2-D fluid flow model of an argon stirred ladle. Both thermodynamic constraints and mass balance were considered. The activities of the oxide components in the slag phase were described using the thermodynamic model by Björkvall and the liquid metal using the dilute solution model. Desulphurization was simulated using the sulphide capacity model developed by KTH group. A 2-D fluid flow model considering the slag, steel and argon phases was adopted.
The model predictions were compared with industrial data and the agreement was found quite satisfactory. The promising model calculation would encourage new CFD simulation of 3-D along this direction.
Jeong, Kideog. "OBJECT MATCHING IN DISJOINT CAMERAS USING A COLOR TRANSFER APPROACH." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/434.
Повний текст джерелаLakhanpal, Chetan. "Mathematical modelling of applied heat transfer in temperature sensitive packaging systems. Design, development and validation of a heat transfer model using lumped system approach that predicts the performance of cold chain packaging systems under dynamically changing environmental thermal conditions." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/5776.
Повний текст джерелаMartínez, Ballester Santiago. "NUMERICAL MODEL FOR MICROCHANNEL CONDENSERS AND GAS COOLERS WITH AN IMPROVED AIR-SIDE APPROACH." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/17453.
Повний текст джерелаMartínez Ballester, S. (2012). NUMERICAL MODEL FOR MICROCHANNEL CONDENSERS AND GAS COOLERS WITH AN IMPROVED AIR-SIDE APPROACH [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/17453
Palancia
Singh, Ogesh. "Regulatory T cell diversity analysis and a gene transfer approach to cellular immunotherapy in a murine model of type one diabetes." Thesis, Royal Veterinary College (University of London), 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522749.
Повний текст джерелаYoung, Cindy L. "A satellite and ash transport model aided approach to assess the radiative impacts of volcanic aerosol in the Arctic." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53404.
Повний текст джерелаFallatah, Basem Abdullrahman. "Systems Approach: Concept Proposal to Develop Saudi Arabia Low-Complexity-Defense-Spare-Parts Manufacturing Industries, Utilizing Technology Transfer and Business Incubator." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1544620225738681.
Повний текст джерелаSkoglund, Emil. "A NUMERICAL MODEL OF HEAT- AND MASS TRANSFER IN POLYMER ELECTROLYTE FUEL CELLS : A two-dimensional 1+1D approach to solve the steady-state temperature- and mass- distributions." Thesis, Mälardalens högskola, Framtidens energi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55223.
Повний текст джерелаMannschatz, Theresa. "Site evaluation approach for reforestations based on SVAT water balance modeling considering data scarcity and uncertainty analysis of model input parameters from geophysical data." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-175309.
Повний текст джерелаUmfangreiche Abholzungen, besonders in den (Sub-)Tropen, habe zu intensiver Bodendegradierung und Erosion mit einhergehendem Verlust der Bodenfruchtbarkeit geführt. Eine wirksame Maßnahme zur Vermeidung fortschreitender Bodendegradierung und Erosion sind Aufforstungen auf diesen Flächen, die bisweilen zu einer verbesserten Bodenqualität führen können. Eine Umwandlung von Grünland zu Wald kann jedoch einen entscheidenden Einfluss auf den Wasserhaushalt haben. Selbst unter humid-tropischen Klimabedingungen, wo Wasser in der Regel kein begrenzender Faktor ist, können sich Aufforstungen negativ auf die Wasserverfügbarkeit auswirken. In diesem Zusammenhang muss auch berücksichtigt werden, dass Klimamodelle eine Abnahme der Niederschläge in einigen dieser Regionen prognostizieren. Um die Probleme, die mit dem Klimawandel in Verbindung stehen zu mildern (z.B. Zunahme von Erosion und Dürreperioden), wurden und werden bereits umfangreiche Aufforstungsmaßnahmen durchgeführt. Viele dieser Maßnahmen waren nicht immer umfassend erfolgreich, weil die Umgebungsbedingungen sowie die pflanzenspezifischen Anforderungen nicht angemessen berücksichtigt wurden. Dies liegt häufig an der schlechten Datengrundlage sowie an den in vielen Entwicklungs- und Schwellenländern begrenzter verfügbarer finanzieller Mittel. Aus diesem Grund werden innovative Ansätze benötigt, die in der Lage sind quasi-kontinuierlich und kostengünstig die Standortbedingungen zu erfassen und zu bewerten. Gleichzeitig sollte eine Überwachung der Wiederaufforstungsmaßnahme erfolgen, um deren Erfolg zu bewerten und potentielle negative Effekte (z.B. Wasserknappheit) zu erkennen und diesen entgegenzuwirken bzw. reduzieren zu können. Um zu vermeiden, dass Wiederaufforstungen fehlschlagen oder negative Auswirkungen auf die Ökosystemdienstleistungen haben, ist es entscheidend, Kenntnisse vom tatsächlichen Wasserhaushalt des Ökosystems zu erhalten und Änderungen des Wasserhaushalts durch Wiederaufforstungen vorhersagen zu können. Die Ermittlung und Vorhersage von Wasserhaushaltsänderungen infolge einer Aufforstung unter Berücksichtigung des Klimawandels erfordert die Berücksichtigung komplex-verzahnter Rückkopplungsprozesse im Boden-Vegetations-Atmosphären Kontinuum. Hydrologische Modelle, die explizit den Einfluss der Vegetation auf den Wasserhaushalt untersuchen sind Soil-Vegetation-Atmosphere-Transfer (SVAT) Modelle. Die vorliegende Studie verfolgte zwei Hauptziele: (i) die Entwicklung und Erprobung einer Methodenkombination zur Standortbewertung unter Datenknappheit (d.h. Grundanforderung des Ansatzes) (Teil I) und (ii) die Untersuchung des Einflusses der mit geophysikalischen Methoden vorhergesagten SVAT-Modeleingangsparameter (d.h. Vorhersageunsicherheiten) auf die Modellierung (Teil II). Eine Wasserhaushaltsmodellierung wurde in den Mittelpunkt der Methodenkombination gesetzt. In dieser Studie wurde das 1D SVAT Model CoupModel verwendet. CoupModel benötigen detaillierte räumliche Bodeninformationen (i) zur Modellparametrisierung, (ii) zum Hochskalierung von Modellergebnissen unter Berücksichtigung lokaler und regionaler Bodenheterogenität, und (iii) zur Beobachtung (Monitoring) der zeitlichen Veränderungen des Bodens und der Vegetation. Traditionelle Ansätze zur Messung von Boden- und Vegetationseigenschaften und deren Monitoring sind jedoch zeitaufwendig, teuer und beschränken sich daher oft auf Punktinformationen. Ein vielversprechender Ansatz zur Überwindung der räumlichen Einschränkung sind die Nutzung geophysikalischer Methoden. Aus diesem Grund wurden vis-NIR Spektroskopie (sichtbarer bis nah-infraroter Wellenlängenbereich) zur quasi-kontinuierlichen Messung von physikalischer und chemischer Bodeneigenschaften und Satelliten-basierte Fernerkundung zur Ableitung von Vegetationscharakteristika (d.h. Blattflächenindex (BFI)) eingesetzt. Da die mit geophysikalisch hergeleiteten Bodenparameter (hier Bodenart) und Pflanzenparameter zur Parametrisierung eines SVAT Models verwendet werden können, wurde die gesamte Prozessierungskette und die damit verbundenen Unsicherheiten und deren potentiellen Auswirkungen auf die Wasserhaushaltsmodellierung mit CoupModel untersucht. Ein Gewächshausexperiment mit Bambuspflanzen wurde durchgeführt, um die zur CoupModel Parametrisierung notwendigen pflanzenphysio- logischen Parameter zu bestimmen. Geoelektrik wurde eingesetzt, um die Bodenschichtung der Untersuchungsfläche zu untersuchen und ein repräsentatives Bodenprofil zur Modellierung zu definieren. Die Bodenstruktur wurde unter Verwendung einer Bildanalysetechnik ausgewertet, die die qualitativen Bewertung und Vergleichbarkeit struktureller Merkmale ermöglicht. Um den Anforderungen des gewählten Standortbewertungsansatzes gerecht zu werden, wurde die Methodik auf einem Standort mit einer Bambusplantage und einem Sekundärregenwald (als Referenzfläche) in NO-Brasilien (d.h. geringe Datenverfügbarkeit) entwickelt und getestet. Das Ziel dieser Arbeit war jedoch nicht die Modellierung dieses konkreten Standortes, sondern die Bewertung der Eignung des gewählten Methodenansatzes zur Standortbewertung für Aufforstungen und deren zeitliche Beobachtung, als auch die Bewertung des Einfluss von Aufforstungen auf den Wasserhaushalt und die Bodenqualität. Die Ergebnisse (Teil III) verdeutlichen, dass es notwendig ist, sich den potentiellen Einfluss der Messunsicherheiten der SVAT Modelleingangsparameter auf die Modellierung bewusst zu sein. Beispielsweise zeigte sich, dass die Vorhersageunsicherheiten der Bodentextur und des BFI einen bedeutenden Einfluss auf die Wasserhaushaltsmodellierung mit CoupModel hatte. Die Arbeit zeigt weiterhin, dass vis-NIR Spektroskopie zur schnellen und kostengünstigen Messung, Kartierung und Überwachung boden-physikalischer (Bodenart) und -chemischer (N, TOC, TIC, TC) Eigenschaften geeignet ist. Die Qualität der Bodenvorhersage hängt vom Instrument (z.B. Sensorauflösung), den Probeneigenschaften (z.B. chemische Zusammensetzung) und den Standortmerkmalen (z.B. Klima) ab. Die Sensitivitätsanalyse mit CoupModel zeigte, dass der Einfluss der spektralen Bodenartvorhersageunsicherheiten auf den mit CoupModel simulierten Oberflächenabfluss, Evaporation, Transpiration und Evapotranspiration ebenfalls von den Standortbedingungen (z.B. Klima, Bodentyp) abhängt. Aus diesem Grund wird empfohlen eine SVAT Model Sensitivitätsanalyse vor der spektroskopischen Feldmessung von Bodenparametern durchzuführen, um die Standort-spezifischen Boden- und Klimabedingungen angemessen zu berücksichtigen. Die Anfertigung einer Bodenkarte unter Verwendung von Kriging führte zu schlechten Interpolationsergebnissen in Folge der Aufsummierung von Mess- und Schätzunsicherheiten (d.h. bei spektroskopischer Feldmessung, Kriging-Fehler) und der kleinskaligen Bodenheterogenität. Anhand des gewählten Bodenbewertungsansatzes (vis-NIR Spektroskopie, Strukturvergleich mit Bildanalysetechnik, traditionelle Laboranalysen) konnte gezeigt werden, dass es bei gleichem Bodentyp (Vertisol) signifikante Unterschiede zwischen den Böden unter Bambus und Sekundärwald gibt. Anhand der wichtigsten Ergebnisse kann festgehalten werden, dass die gewählte Methodenkombination zur detailreicheren und effizienteren Standortuntersuchung und -bewertung für Aufforstungen beitragen kann. Die Ergebnisse dieser Studie geben einen Einblick darauf, wo und wann bei Boden- und Vegetationsmessungen eine besonders hohe Messgenauigkeit erforderlich ist, um Unsicherheiten bei der SVAT Modellierung zu minimieren
Extensos desmatamentos que estão sendo feitos especialmente nos trópicos e sub-trópicos resultam em uma intensa degradação do solo e num aumento da erosão gerando assim uma redução na sua fertilidade. Reflorestamentos ou plantações nestas áreas degradadas podem ser medidas eficazes para atenuar esses problemas e levar a uma melhoria da qualidade do mesmo. No entanto, uma mudança no uso da terra, por exemplo de pastagem para floresta pode ter um impacto crucial no balanço hídrico e isso pode afetar a disponibilidade de água, mesmo sob condições de clima tropical úmido, onde a água normalmente não é um fator limitante. Devemos levar também em consideração que de acordo com projeções de mudanças climáticas, as precipitações em algumas dessas regiões também diminuirão agravando assim, ainda mais o quadro apresentado. Para mitigar esses problemas relacionados com as alterações climáticas, reflorestamentos são frequentemente realizados mas raramente são bem-sucedidos, pois condições ambientais como os requisitos específicos de cada espécie de planta, não são devidamente levados em consideração. Isso é muitas vezes devido, não só pela falta de dados, como também por recursos financeiros limitados, que são problemas comuns em regiões tropicais. Por esses motivos, são necessárias abordagens inovadoras que devam ser capazes de medir as condições ambientais quase continuamente e de maneira rentável. Simultaneamente com o reflorestamento, deve ser feita uma monitoração a fim de avaliar o sucesso da atividade e para prevenir, ou pelo menos, reduzir os problemas potenciais associados com o mesmo (por exemplo, a escassez de água). Para se evitar falhas e reduzir implicações negativas sobre os ecossistemas, é crucial obter percepções sobre o real balanço hídrico e as mudanças que seriam geradas por esse reflorestamento. Por este motivo, esta tese teve como objetivo desenvolver e testar uma combinação de métodos para avaliação de áreas adequadas para reflorestamento. Com esse intuito, foi colocada no centro da abordagem de avaliação a modelagem do balanço hídrico local, que permite a identificação e estimação de possíveis alterações causadas pelo reflorestamento sob mudança climática considerando o sistema complexo de realimentação e a interação de processos do continuum solo-vegetação-atmosfera. Esses modelos hidrológicos que investigam explicitamente a influência da vegetação no equilíbrio da água são conhecidos como modelos Solo-Vegetação-Atmosfera (SVAT). Esta pesquisa focou em dois objetivos principais: (i) desenvolvimento e teste de uma combinação de métodos para avaliação de áreas que sofrem com a escassez de dados (pré-requisito do estudo) (Parte I), e (ii) a investigação das consequências da incerteza nos parâmetros de entrada do modelo SVAT, provenientes de dados geofísicos, para modelagem hídrica (Parte II). A fim de satisfazer esses objetivos, o estudo foi feito no nordeste brasileiro,por representar uma área de grande escassez de dados, utilizando como base uma plantação de bambu e uma área de floresta secundária. Uma modelagem do balanço hídrico foi disposta no centro da metodologia para a avaliação de áreas. Este estudo utilizou o CoupModel que é um modelo SVAT unidimensional e que requer informações espaciais detalhadas do solo para (i) a parametrização do modelo, (ii) aumento da escala dos resultados da modelagem, considerando a heterogeneidade do solo de escala local para regional e (iii) o monitoramento de mudanças nas propriedades do solo e características da vegetação ao longo do tempo. Entretanto, as abordagens tradicionais para amostragem de solo e de vegetação e o monitoramento são demorados e caros e portanto muitas vezes limitadas a informações pontuais. Por esta razão, métodos geofísicos como a espectroscopia visível e infravermelho próximo (vis-NIR) e sensoriamento remoto foram utilizados respectivamente para a medição de propriedades físicas e químicas do solo e para derivar as características da vegetação baseado no índice da área foliar (IAF). Como as propriedades estimadas de solo (principalmente a textura) poderiam ser usadas para parametrizar um modelo SVAT, este estudo investigou toda a cadeia de processamento e as incertezas de previsão relacionadas à textura de solo e ao IAF. Além disso explorou o impacto destas incertezas criadas sobre a previsão do balanço hídrico simulado por CoupModel. O método geoelétrico foi aplicado para investigar a estratificação do solo visando a determinação de um perfil representante. Já a sua estrutura foi explorada usando uma técnica de análise de imagens que permitiu a avaliação quantitativa e a comparabilidade dos aspectos estruturais. Um experimento realizado em uma estufa com plantas de bambu (Bambusa vulgaris) foi criado a fim de determinar as caraterísticas fisiológicas desta espécie que posteriormente seriam utilizadas como parâmetros para o CoupModel. Os resultados do estudo (Parte III) destacam que é preciso estar consciente das incertezas relacionadas à medição de parâmetros de entrada do modelo SVAT. A incerteza presente em alguns parâmetros de entrada como por exemplo, textura de solo e o IAF influencia significantemente a modelagem do balanço hídrico. Mesmo assim, esta pesquisa indica que vis-NIR espectroscopia é um método rápido e economicamente viável para medir, mapear e monitorar as propriedades físicas (textura) e químicas (N, TOC, TIC, TC) do solo. A precisão da previsão dessas propriedades depende do tipo de instrumento (por exemplo da resolução do sensor), da propriedade da amostra (a composição química por exemplo) e das características das condições climáticas da área. Os resultados apontam também que a sensitividade do CoupModel à incerteza da previsão da textura de solo em respeito ao escoamento superficial, transpiração, evaporação, evapotranspiração e ao conteúdo de água no solo depende das condições gerais da área (por exemplo condições climáticas e tipo de solo). Por isso, é recomendado realizar uma análise de sensitividade do modelo SVAT prior a medição espectral do solo no campo, para poder considerar adequadamente as condições especificas do área em relação ao clima e ao solo. Além disso, o mapeamento de propriedades de solo previstas pela espectroscopia usando o kriging, resultou em interpolações de baixa qualidade (variogramas fracos) como consequência da acumulação de incertezas surgidas desde a medição no campo até o seu mapeamento (ou seja, previsão do solo via espectroscopia, erro do kriging) e heterogeneidade especifica de uma pequena escala. Osmétodos selecionados para avaliação das áreas (vis-NIR espectroscopia, comparação da estrutura de solo por meio de análise de imagens, análise de laboratório tradicionais) revelou a existência de diferenças significativas entre o solo sob bambu e o sob floresta secundária, apesar de ambas terem sido estabelecidas no mesmo tipo de solo (vertissolo). Refletindo sobre os principais resultados do estudo, pode-se afirmar que a combinação dos métodos escolhidos e aplicados representam uma forma mais detalhada e eficaz de avaliar se uma determinada área é adequada para ser reflorestada. Os resultados apresentados fornecem percepções sobre onde e quando, durante a medição do solo e da vegetação, é necessário se ter uma precisão mais alta a fim de minimizar incertezas potenciais na modelagem com o modelo SVAT
D'Ascia-Berger, Valerie. "Stratégie d'implantation d'une échelle d'évaluation du risque de constipation : approche éducative et collaborative." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM3081.
Повний текст джерелаThis study focuses on the co-construction of a strategy aiming to implement, in nursing practice, a rating scale to assess the risk of constipation in hospitalised patients (ARCoPH). It is based on humanistic model of nursing (Girard et Cara, 2011) and on the social constructivist approach to learning (Vygotsky, 1997). The research design uses a collaborative approach (Desgagné, 1997). The objectives are to co-construct a strategy to implement this new scale and the impact of this approach on the continuing professional development (CPD) of nurses who participated in the study and on the clinical reasoning of their peers. Using a collaborative approach, a group of five nurses developed, during group analysis sessions (Van Campenhoudt et al., 2005), practical insights to implement the ARCoHP scale. The impact on their CPD was determined through a group interview and a questionnaire. The effect of this approach on the clinical reasoning of the teams was established using a before and after survey based on the observation of patient intake interviews, and to assess the nurses' ability to identify patients at risk of constipation. This collaborative approach led to the professional development of participating nurses, specifically to the improvement of their reflective skills.The co-construction of this implementation strategy for the ARCoHP scale can be associated with the transfer of learning model as defined by Fixsen et al. (2005) and Graham et al. (2006), and thus help close the gaps between theory and practice
Книги з теми "Model transfer approach"
Seaton, R. A. F. Interactive models of industrial technology transfer: A process approach. Cranfield: Cranfield Institute of Technology, 1992.
Знайти повний текст джерелаBen-Akiva, Moshe E. Approaches to model transferability and updating: The combinated transfer estimator. Québec: Département d'économique, Université Laval, 1987.
Знайти повний текст джерелаAn engineering approach to computer networking: ATM networks, the internet, and the telephone network. Reading, Mass: Addison-Wesley, 1997.
Знайти повний текст джерелаPricing interest-rate derivatives: A Fourier-transform based approach. Berlin: Springer, 2008.
Знайти повний текст джерелаLemieux, Thomas. Incentive effects of social assistance: A regression discontinuity approach. Ottawa: Analytical Studies, Statistics Canada, 2006.
Знайти повний текст джерелаLemieux, Thomas. Incentive effects of social assistance: A regression discontinuity approach. Cambridge, MA: National Bureau of Economic Research, 2004.
Знайти повний текст джерелаKang, Mathilde. Francophonie and the Orient. NL Amsterdam: Amsterdam University Press, 2018. http://dx.doi.org/10.5117/9789462988255.
Повний текст джерелаK, Fraley S., ed. A Monte Carlo primer: A practical approach to radiation transport. New York: Kluwer Academic/Plenum, 2002.
Знайти повний текст джерелаBurkhard, Remo. Knowledge visualization: The use of complementary visual representations for the transfer of knowledge : a model, a framework, and four new approaches. S.l: s.n., 2005.
Знайти повний текст джерелаSabol, Tomáš. Foreign direct investments in Central East Europe and their impact on productivity gap--analysis using statistical and data mining approach: Some results of the Productivity Gap Project. Košice: Vienala, 2005.
Знайти повний текст джерелаЧастини книг з теми "Model transfer approach"
Schlechtendahl, E. G. "The CAD*l approach to solid model transfer." In CAD Data Transfer for Solid Models, 11–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83997-9_3.
Повний текст джерелаMakssoud, F., O. Battaïa, and A. Dolgui. "Multi-objective Approach and Model for Transfer Line Reconfigurations." In Springer Series in Advanced Manufacturing, 193–208. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28782-5_10.
Повний текст джерелаXu, Geng, Yongxu He, and Yonggang Zhang. "Transfer Alignment Based on Affine Transformation Model with Noniterative Approach." In Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021), 1000–1012. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9492-9_99.
Повний текст джерелаVilalta, Ricardo, and Mikhail M. Meskhi. "Transfer of Knowledge Across Tasks." In Metalearning, 219–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-67024-5_12.
Повний текст джерелаLeón, Carmelo J., and Jorge E. Araña. "A Bayesian Model Averaging Approach to the Transfer of Subjective Well-Being Values of Air Quality." In Benefit Transfer of Environmental and Resource Values, 489–505. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9930-0_21.
Повний текст джерелаSingh, Ved Prakash, and J. Srinivas. "Crack Effect on Rotors Using Mode-I Failure Model with Transfer Matrix Approach." In Lecture Notes in Mechanical Engineering, 153–65. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6002-1_13.
Повний текст джерелаRanjan, Amit, Chandrashekhar Kumar, Rohit Kumar Gupta, and Rajiv Misra. "Transfer Learning Based Approach for Pneumonia Detection Using Customized VGG16 Deep Learning Model." In Internet of Things and Connected Technologies, 17–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94507-7_2.
Повний текст джерелаQi, Xinxin, Juan Chen, and Lin Deng. "CP$$^{3}$$: Hierarchical Cross-Platform Power/Performance Prediction Using a Transfer Learning Approach." In Algorithms and Architectures for Parallel Processing, 117–38. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-22677-9_7.
Повний текст джерелаBirajdar, Gunvant A. "A New Approach for Non-linear Fractional Heat Transfer Model by Adomian Decomposition Method." In Springer Proceedings in Mathematics & Statistics, 333–43. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4646-8_28.
Повний текст джерелаdos Santos Oliveira, Deise Rocha Martins, Irenilza de Alencar Nääs, Ivo Pierozzi Júnior, and Oduvaldo Vendrametto. "Building a Conceptual Model for Analyzing Sustainability Projects Aiming at Technology Transfer: A Terminological Approach." In IFIP Advances in Information and Communication Technology, 701–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40352-1_88.
Повний текст джерелаТези доповідей конференцій з теми "Model transfer approach"
Webb, David R., and M. Rana. "THE DESIGN OF A TEMA 'X' SHELL CONDENSER BASED ON THE FILM MODEL APPROACH." In International Heat Transfer Conference 10. Connecticut: Begellhouse, 1994. http://dx.doi.org/10.1615/ihtc10.5360.
Повний текст джерелаBavly-Hadida, S., O. Weinstein, and Simon Brandon. "A MODIFIED APPROACH TO THE LATTICE BOLTZMANN MODEL (LBM) BASED ANALYSIS OF RADIATIVE HEAT TRANSPORT." In International Heat Transfer Conference 16. Connecticut: Begellhouse, 2018. http://dx.doi.org/10.1615/ihtc16.rti.023868.
Повний текст джерелаAl Banna, Md Hasan, Md Ali Haider, Md Jaber Al Nahian, Md Maynul Islam, Kazi Abu Taher, and M. Shamim Kaiser. "Camera Model Identification using Deep CNN and Transfer Learning Approach." In 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST). IEEE, 2019. http://dx.doi.org/10.1109/icrest.2019.8644194.
Повний текст джерелаHarding, C. A., G. R. Hugo, S. J. Bowles, Donald O. Thompson, and Dale E. Chimenti. "APPLICATION OF MODEL-ASSISTED POD USING A TRANSFER FUNCTION APPROACH." In REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: Proceedings of the 35th Annual Review of Progress in Quantitative Nondestructive Evaluation. AIP, 2009. http://dx.doi.org/10.1063/1.3114176.
Повний текст джерелаLiorni, Ilaria, Esra Neufeld, Sven Kuehn, and Niels Kuster. "Implant Safety: Novel Mechanistic Model and Approach for Safety Assessment at WPT Frequencies." In 2018 IEEE Wireless Power Transfer Conference (WPTC). IEEE, 2018. http://dx.doi.org/10.1109/wpt.2018.8639464.
Повний текст джерелаJancirani, J., S. Chandrasekaran, and P. Tamilporai. "Investigation on Thermal Loading of Disc Brakes: An Approach." In ASME 2003 Heat Transfer Summer Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/ht2003-47364.
Повний текст джерелаLiu, Yue, Nan Yang, and Gang Yang. "An Approach for Personalized Tag Recommendation Based on Interest Transfer Model." In 2012 9th Web Information Systems and Applications Conference (WISA). IEEE, 2012. http://dx.doi.org/10.1109/wisa.2012.43.
Повний текст джерелаSayyafzadeh, Mohammad, Peyman Pourafshari, and Fariborz Rashidi. "A Novel Method to Model Water-Flooding via Transfer Functions Approach." In SPE Project and Facilities Challenges Conference at METS. Society of Petroleum Engineers, 2011. http://dx.doi.org/10.2118/141379-ms.
Повний текст джерелаBelikov, Juri, Miroslav Halas, Ulle Kotta, and Claude H. Moog. "Model matching problem for discrete-time nonlinear systems: Transfer function approach." In 2011 9th IEEE International Conference on Control and Automation (ICCA). IEEE, 2011. http://dx.doi.org/10.1109/icca.2011.6137955.
Повний текст джерелаArabi, Mazdak, Jennifer S. Schmidt, and Rao S. Govindaraju. "A Process-Based Transfer Function Approach to Model Tile Drain Hydrographs." In World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)379.
Повний текст джерелаЗвіти організацій з теми "Model transfer approach"
Tang, J. Electron-transfer reactions involving two harmonic potentials with a different force constant: The Zusman approach versus the spin-boson model. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/10159303.
Повний текст джерелаArpaia, Mary Lu, Sharoni Shafir, Thomas Davenport, and Arnon Dag. Enhancement of avocado pollination and productivity - an interdisciplinary approach. United States Department of Agriculture, January 2007. http://dx.doi.org/10.32747/2007.7695882.bard.
Повний текст джерелаRiveros, Guillermo, Felipe Acosta, Reena Patel, and Wayne Hodo. Computational mechanics of the paddlefish rostrum. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41860.
Повний текст джерелаIsborn, Christine, Aurora Clark, and Thomas Markland. Development of Approaches to Model Excited State Charge and Energy Transfer in Solution. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1756053.
Повний текст джерелаWiser, Ralph, Emilio Baglietto, Arsen Iskhakov, Nam Dinh, Cheng-Kai Tai, Igor Bolotnov, Tri Nguyen, Elia Merzari, and Dillon Shaver. Challenge Problem 1: Preliminary Model Development and Assessment of Flexible Heat Transfer Modeling Approaches. Office of Scientific and Technical Information (OSTI), June 2022. http://dx.doi.org/10.2172/1881860.
Повний текст джерелаTaucher, Jan, and Markus Schartau. Report on parameterizing seasonal response patterns in primary- and net community production to ocean alkalinization. OceanNETs, November 2021. http://dx.doi.org/10.3289/oceannets_d5.2.
Повний текст джерелаIde, Kayo. Multi-Model Ensemble Approaches to Data Assimilation Using the 4D-Local Ensemble Transform Kalman Filter. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada542670.
Повний текст джерелаIde, Kayo. Multi-Model Ensemble Approaches to Data Assimilation Using the 4D-Local Ensemble Transform Kalman Filter. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada601440.
Повний текст джерелаElbaum, Michael, and Peter J. Christie. Type IV Secretion System of Agrobacterium tumefaciens: Components and Structures. United States Department of Agriculture, March 2013. http://dx.doi.org/10.32747/2013.7699848.bard.
Повний текст джерелаAraujo,, María Caridad, and Karen Macours. Education, Income and Mobility: Experimental Impacts of Childhood Exposure to Progresa after 20 Years. Inter-American Development Bank, December 2021. http://dx.doi.org/10.18235/0003808.
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