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Academic literature on the topic 'RBF'

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Published: 4 June 2021
Last updated: 7 September 2023

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Journal articles on the topic "RBF"

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Ullah, Zakir, Martin S. Buckley, David N. Arnosti, and R. William Henry. "Retinoblastoma Protein Regulation by the COP9 Signalosome." Molecular Biology of the Cell 18, no. 4 (April 2007): 1179–86. http://dx.doi.org/10.1091/mbc.e06-09-0790.

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Similar to their human counterparts, the Drosophila Rbf1 and Rbf2 Retinoblastoma family members control cell cycle and developmentally regulated gene expression. Increasing evidence suggests that Rbf proteins rely on multiprotein complexes to control target gene transcription. We show here that the developmentally regulated COP9 signalosome (CSN) physically interacts with Rbf2 during embryogenesis. Furthermore, the CSN4 subunit of the COP9 signalosome co-occupies Rbf target gene promoters with Rbf1 and Rbf2, suggesting an active role for the COP9 signalosome in transcriptional regulation. The targeted knockdown of individual CSN subunits leads to diminished Rbf1 and Rbf2 levels and to altered cell cycle progression. The proteasome-mediated destruction of Rbf1 and Rbf2 is increased in cells and embryos with diminished COP9 activity, suggesting that the COP9 signalosome protects Rbf proteins during embryogenesis. Previous evidence has linked gene activation to protein turnover via the promoter-associated proteasome. Our findings suggest that Rbf repression may similarly involve the proteasome and the promoter-associated COP9 signalosome, serving to extend Rbf protein lifespan and enable appropriate programs of retinoblastoma gene control during development.
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Arzanlou, Mahdi, Somayeh Mousavi, Mounes Bakhshi, Reza Khakvar, and Ali Bandehagh. "Inhibitory effects of antagonistic bacteria inhabiting the rhizosphere of the sugarbeet plants, on Cercospora beticola Sacc., the causal agent of Cercospora leaf spot disease on sugarbeet." Journal of Plant Protection Research 56, no. 1 (January 1, 2016): 6–14. http://dx.doi.org/10.1515/jppr-2016-0002.

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AbstractIn the present study, the antagonistic capability of bacterial agents inhabiting the rhizosphere of sugarbeet plants were evaluated against Cercospora beticola Sacc. under laboratory and greenhouse conditions. After preliminary screening using the dual culture method, 14 strains with higher antagonistic capability were selected for further inhibitory assays against C. beticola. Bacterial strains were identified based on the sequence data of the small subunit-rDNA (SSU-rDNA) gene. Based on the SSU sequence data, the identity of bacterial strains were determined as Bacillus (10 strains: RB1, RB2, RB3, RB4, RB5, RB6, RB7, RB8, RB9, RB10), Paenibacillus (two strains: RP1, RP2), Enterobacter (one strain: RE), and Pseudomonas (one strain: RPs). The results obtained in this study showed that in all of the assays (dual culture, volatile and non-volatile metabolites) bacterial antagonists significantly inhibited the growth of C. beticola compared to the control. Bacillus (RB2) showed the highest inhibition rate on C. beticola in all of the assays. Based on the results of the laboratory assays, three bacterial strains RB2 (Bacillus), RPs (Pseudomonas), and RE (Paenibacillus) were selected for greenhouse assays. The experiment was designed based on a completely randomised design (CRD) with the application of antagonists prior to, simultaneously, and after inoculation with C. beticola on sugarbeet leaves. The reduction in disease severity was evaluated seven days after inoculation. The results of greenhouse assays were consistent with the results of laboratory studies. The obtained results showed that bacterial antagonists significantly reduced the disease severity when compared to the control.
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Dvoryanova, E. M., I. M. Kondratyuk, and I. K. Garkushin. "Investigation of the RbF-RbCl-RbBr and RbF-RbCl-RbI ternary systems." Russian Journal of Inorganic Chemistry 53, no. 7 (July 2008): 1144–48. http://dx.doi.org/10.1134/s0036023608070279.

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Taylor-Harding, Barbie, Ulrich K. Binné, Michael Korenjak, Alexander Brehm, and Nicholas J. Dyson. "p55, the Drosophila Ortholog of RbAp46/RbAp48, Is Required for the Repression of dE2F2/RBF-Regulated Genes." Molecular and Cellular Biology 24, no. 20 (October 15, 2004): 9124–36. http://dx.doi.org/10.1128/mcb.24.20.9124-9136.2004.

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ABSTRACT Many proteins have been proposed to be involved in retinoblastoma protein (pRB)-mediated repression, but it is largely uncertain which cofactors are essential for pRB to repress endogenous E2F-regulated promoters. Here we have taken advantage of the stream-lined Drosophila dE2F/RBF pathway, which has only two E2Fs (dE2F1 and dE2F2), and two pRB family members (RBF1 and RBF2). With RNA interference (RNAi), we depleted potential corepressors and looked for the elevated expression of groups of E2F target genes that are known to be directly regulated by RBF1 and RBF2. Previous studies have implicated histone deacetylase (HDAC) and SWI/SNF chromatin-modifying complexes in pRB-mediated repression. However, our results fail to support the idea that the SWI/SNF proteins are required for RBF-mediated repression and suggest that a requirement for HDAC activities is likely to be limited to a subset of targets. We found that the chromatin assembly factor p55/dCAF-1 is essential for the repression of dE2F2-regulated targets. The removal of p55 deregulated the expression of E2F targets that are normally repressed by dE2F2/RBF1 and dE2F2/RBF2 complexes in a cell cycle-independent manner but had no effect on the expression of E2F targets that are normally coupled with cell proliferation. The results indicate that the mechanisms of RBF regulation at these two types of E2F targets are different and suggest that p55, and perhaps p55's mammalian orthologs RbAp46 and RbAp48, have a conserved function in repression by pRB-related proteins.
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Yimin, Ding, Wu Ping, Liu Xu, and Zhang Tingting. "The phase diagram of the RbF–RbI system." Thermochimica Acta 472, no. 1-2 (June 2008): 38–40. http://dx.doi.org/10.1016/j.tca.2008.03.014.

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Nakanishi, Rafael, Filipe Nascimento, Rafael Campos, Paulo Pagliosa, and Afonso Paiva. "RBF liquids." ACM Transactions on Graphics 39, no. 6 (November 26, 2020): 1–13. http://dx.doi.org/10.1145/3414685.3417794.

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Wu, Yuhui, Xinzhi Zhou, Li Zhao, Chenlong Dong, and Hailin Wang. "A Method for Reconstruction of Boiler Combustion Temperature Field Based on Acoustic Tomography." Mathematical Problems in Engineering 2021 (September 2, 2021): 1–11. http://dx.doi.org/10.1155/2021/9922698.

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Acoustic tomography (AT), as a noninvasive temperature measurement method, can achieve temperature field measurement in harsh environments. In order to achieve the measurement of the temperature distribution in the furnace and improve the accuracy of AT reconstruction, a temperature field reconstruction algorithm based on the radial basis function (RBF) interpolation method optimized by the evaluation function (EF-RBFI for short) is proposed. Based on a small amount of temperature data obtained by the least square method (LSM), the RBF is used for interpolation. And, the functional relationship between the parameter of RBF and the root-mean-square (RMS) error of the reconstruction results is established in this paper, which serves as the objective function for the effect evaluation, so as to determine the optimal parameter of RBF. The detailed temperature description of the entire measured temperature field is finally established. Through the reconstruction of three different types of temperature fields provided by Dongfang Boiler Works, the results and error analysis show that the EF-RBFI algorithm can describe the temperature distribution information of the measured combustion area globally and is able to reconstruct the temperature field with high precision.
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Zhang, Ming, Maya R. Sternberg, Lorraine F. Yeung, and Christine M. Pfeiffer. "Population RBC folate concentrations can be accurately estimated from measured whole blood folate, measured hemoglobin, and predicted serum folate—cross-sectional data from the NHANES 1988–2010." American Journal of Clinical Nutrition 111, no. 3 (December 20, 2019): 601–12. http://dx.doi.org/10.1093/ajcn/nqz307.

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ABSTRACT Background RBC folate (RBF) is an indicator of folate status and risk of neural-tube defects. It is calculated from whole blood folate (WBF), serum folate (SFOL), and hematocrit (Hct). SFOL and/or Hct are sometimes unavailable; hemoglobin (Hb) is generally available in surveys. Objectives We assessed the ability of different RBF approximations to generate population data in women aged 12–49 y. Methods Using SFOL, RBF, Hct, Hb, and mean corpuscular Hb content (MCHC) from prefortification (1988–1994) and postfortification (1999–2006, 2007–2010) NHANES we applied 6 approaches: #1) assume SFOL = 0; #2) impute SFOL (population median); #3) impute Hct (population median); #4) estimate Hct (Hb/MCHC); #5) assume SFOL = 0 and estimate Hct; and #6) predict SFOL (from WBF) and estimate Hct. For each approach, we calculated the paired percentage difference to the “true” RBF and estimated various statistics. Results For 2007–2010 (unweighted data), the median relative difference from “true” RBF was lowest for approaches #2 (−0.74%), #4 (−0.96%), and #6 (−1.15%), intermediate for #3 (−3.36%), and highest for #5 (4.96%) and #1 (5.78%). The 95% agreement limits were smallest for approach #1 (2.33%, 13.0%) and largest for #3 (−20.8%, 11.3%). Approach #2 showed concentration-dependence (negative compared with positive differences at low compared with high RBF). Using weighted data, we found similar patterns across approaches for mean relative differences by demographic subgroup for all 3 time periods. Conclusions We obtained the best agreement between estimated and “true” RBF when we predicted SFOL using a regression equation obtained from a subset of samples (approach #6). Alternatively, the consistent overestimation of RBF when assuming SFOL = 0 (∼6%) could be addressed by adjusting the data (approach #5). Similar observations for pre- and postfortification periods suggest applicability to low and high folate status situations, but should be confirmed elsewhere. To estimate RBF, at least WBF and Hb are needed.
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Zhang, Min-Ling. "Ml-rbf: RBF Neural Networks for Multi-Label Learning." Neural Processing Letters 29, no. 2 (February 10, 2009): 61–74. http://dx.doi.org/10.1007/s11063-009-9095-3.

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Stepto, R. F. T. "Gel-gel reaction in RAf and RA2+RBf polymerisations." Polymer Bulletin 24, no. 1 (July 1990): 53–58. http://dx.doi.org/10.1007/bf00298321.

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Dissertations / Theses on the topic "RBF"

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Bell, Brendan Bernard. "Regulation of HIV-1 transcription by RBF-1 and RBF-2." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25015.pdf.

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Waldhoff, Axel. "Hygienisierung von Mischwasser in Retentionsbodenfiltern (RBF)." Kassel Kassel Univ. Press, 2008. http://d-nb.info/993286135/04.

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Rodrigues, Neto Abner Cardoso. "Intervalo de Predição em redes RBF." reponame:Repositório Institucional da UFSC, 2012. http://repositorio.ufsc.br/xmlui/handle/123456789/94199.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2010
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Redes Neurais são amplamente empregadas em problemas de classificaçao e regressão, porém os modelos mais comuns fornecem apenas a estimação de regressão sem nenhuma medida de confiança associada à saída da rede. Medidas de desempenho global como o Erro Médio Quadrático não são capazes de reconhecer regiões onde a resposta da rede possa estar contaminada com incertezas, devido ao ruído presente nos dados ou à baixa densidade de dados de treinamento nessas regiões. Incorporar medidas de confiança na saída da rede, como intervalos de predição, valida a regressão e auxilia tomadores de decisão a estabelecerem critérios de risco, necessários em muitas aplicações práticas. Entretanto, existe uma série de restrições para o calculo do Intervalo de Predição nas redes neurais, que são dificeis de serem cumpridas em problemas reais. Neste trabalho, estudou-se as medidas de confiança fornecida pela rede de função de base radial, algumas das suas deficiencias foram tratadas com o objetivo de obter medidas de confiança mais satisfatórias e com menos restrições sobre o modelo, que possam ajudar os tomadores de decisão em aplicações reais.
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Eriksson, Robin. "Stencil Study for RBF-FD in Option Pricing." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-300223.

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This thesis contains results on convergence studies for different stencils of radial basis function generated finite difference (RBF-FD) method applied to solving Black-Scholes equation for pricing European call options. The results experimentally confirm the theoretical convergence rates for smooth payoff functions with stencils of size 3, 5 and 7 in one- dimensional problems, and 9, 13 and 25 in two- dimensional problems. Moreover, it is shown how different terms in the equation can be approximated individually using the proposed method and then combined into a discrete approximation of the entire spatial differential operator. This new version of the RBF-FD method, where each term has been approximated individually, has been compared to the classical method and the outcome did not show any significant performance advantages. Nevertheless, the results also showed that the second order derivative was the hardest one to approximate accurately and this poses an important finding for the future development of the method.
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Waldhoff, Axel [Verfasser]. "Hygienisierung von Mischwasser in Retentionsbodenfiltern (RBF) / Axel Waldhoff." Kassel : Kassel University Press, 2008. http://d-nb.info/100696925X/34.

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Toratti, Luiz Otávio. "Design de campos vetoriais em volumes usando RBF." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22102018-170348/.

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Em Computação Gráfica, campos vetoriais possuem diversas aplicações desde a síntese e mapeamento de texturas à animações de fluidos, produzindo efeitos amplamente utilizados na indústria do entretenimento. Para produzir tais campos, é preferível o uso de ferramentas de design em vez de simulações numéricas não só devido ao menor custo computacional mas, principalmente, por prover liberdade ao artista ao sintetizar o campo de acordo com a sua necessidade. Atualmente, na literatura, existem bons métodos de design de campos vetoriais em superfícies de objetos tridimensionais porém, o design no interior desses objetos ainda é pouco estudado, principalmente quando o campo de interesse possui propriedades específicas. O objetivo deste trabalho é desenvolver uma técnica para sintetizar campos vetoriais, com características do movimento de fluidos incompressíveis, no interior de domínios. Em uma primeira etapa, o método consiste na interpolação dos vetores de controle, com uma certa propriedade desejada, em todo o domínio. Posteriormente, o campo obtido é modificado para respeitar a geometria do contorno.
Vector fields are important to an wide range of applications on the field of Computer Graphics, from the synthesis and mapping of textures to fluid animation, producing effects widely used on the entertainment industry. To produce such fields, design tools are prefered over numerical simulations not only for its lower computational cost, but mainly by providing freedom to the artist in the creation process. Nowadays, good methods of vector field design over surfaces exist in literature, however there is only a few studies on the synthesis of vector fields of the interior of objects and even fewer when specific properties of the field are required. This work presents a technique to synthesize vector fields with properties of imcompressible fluids motion in the interior of objects. On a first step, the method consists in interpolating control vectors with a certain desired property throughout the whole domain and later the resulting field is modified to properly fit the boundary geometry of the object.
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LACERDA, Estefane George Macedo de. "Model Selection of RBF Networks Via Genetic Algorithms." Universidade Federal de Pernambuco, 2003. https://repositorio.ufpe.br/handle/123456789/1845.

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Um dos principais obstáculos para o uso em larga escala das Redes Neurais é a dificuldade de definir valores para seus parâmetros ajustáveis. Este trabalho discute como as Redes Neurais de Funções Base Radial (ou simplesmente Redes RBF) podem ter seus parâmetros ajustáveis definidos por algoritmos genéticos (AGs). Para atingir este objetivo, primeiramente é apresentado uma visão abrangente dos problemas envolvidos e as diferentes abordagens utilizadas para otimizar geneticamente as Redes RBF. É também proposto um algoritmo genético para Redes RBF com codificação genética não redundante baseada em métodos de clusterização. Em seguida, este trabalho aborda o problema de encontrar os parâmetros ajustáveis de um algoritmo de aprendizagem via AGs. Este problema é também conhecido como o problema de seleção de modelos. Algumas técnicas de seleção de modelos (e.g., validação cruzada e bootstrap) são usadas como funções objetivo do AG. O AG é modificado para adaptar-se a este problema por meio de heurísticas tais como narvalha de Occam e growing entre outras. Algumas modificações exploram características do AG, como por exemplo, a abilidade para resolver problemas de otimização multiobjetiva e manipular funções objetivo com ruído. Experimentos usando um problema benchmark são realizados e os resultados alcançados, usando o AG proposto, são comparados com aqueles alcançados por outras abordagens. As técnicas propostas são genéricas e podem também ser aplicadas a um largo conjunto de algoritmos de aprendizagem
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Vestheim, Siri. "Pruning of RBF Networks in Robot Manipulator Learning Control." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18591.

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Radial Basis Function Neural Networks are well suited for learning the systemdynamics of a robot manipulator and implementation of these networks in thecontrol scheme for a manipulator is a good way to deal with the system uncertaintiesand modeling errors which often occur. The problem with RBF networkshowever is to nd a network with suitable size, not too computational demandingand able to give accurate approximations. In general two methods for creating anappropriate RBF network has been developed, 1) Growing and 2) Pruning.In this report two dierent pruning methods which are suitable for use in alearning controller for robot manipulators are proposed, Weight Magnitude Prun-ing and Neuron Output Pruning. Weight Magnitude Pruning is based on a pruningscheme in [8] while Neuron Output Pruning is based on [2]. Both pruning methodsare simple, have low computational cost and are able to remove several unitsin one pruning period. The thresholds used to nd which neurons to remove arespecied as a percent and hence less problem dependent to nd.Simulations with the two proposed pruning methods in a learning inverse kinematiccontroller for tracking a trajectory by using the three rst joints of the ABBIRB140 manipulator are conducted. The result was that implementing prunedRBF networks in the controller made it more robust towards system uncertaintiesdue to increased generalization ability. These pruned networks were found togive better tracking in the case of unmodeled dynamics compared to the incorrectsystem model, not pruning the RBFNNs and a type of growing network calledRANEKFs. Computational costs were also reduced when the pruning schemeswere implemented.NTNU has a manipulator of the type ABB IRB140 and the learning inversekinematic controller with pruning of RBF networks should be implemented andtested on this in real-life simulations.
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Li, Junxu. "A Dynamic Parameter Tuning Algorithm For Rbf Neural Networks." Fogler Library, University of Maine, 1999. http://www.library.umaine.edu/theses/pdf/LiJ1999.pdf.

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RODOR, Fadul Ferrari. "Modelagem de Sistemas Dinâmicos Não Lineares via RBF-GOBF." reponame:Repositório Institucional da UNIFEI, 2017. http://repositorio.unifei.edu.br/xmlui/handle/123456789/1038.

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Trata-se neste trabalho trata da modelagem e identificação de sistemas dinâmicos não lineares estáveis representáveis por modelos de Wiener por um estrutura formada por bases de funções ortonormais generalizadas (Generalized Orthonormal Basis Functions - GOBF) com funções internas e redes neurais com funções de base radial (Radial Basis Functions - RBF). Os modelos GOBF com funções internas são capazes de representar dinâmicas lineares intrincadas com uma parametrização que se vale apenas de valores reais, sejam os polos do sistema a ser representado complexos e/ou reais. Com informações de entrada e saída do sistema a ser identificado é possível obter um modelo GOBF-RBF inicial. Os clusters que determinam os parâmetros inciais das RBFs (centros das funções gaussianas e larguras ou spreads) são obtidos pelo método fuzzy C-means, o qual é inicializado com um número de centros pré-determinado, obtido pela técnica subtractive clustering, garantindo clusters com volume e densidade apropriados. São propostas duas técnicas para o ajuste dos parâmetros da estrutura. A primeira delas se baseia em um método de otimização não linear e os gradientes exatos da estrutura. Apresenta-se um procedimento para a obtenção dos cálculos analíticos dos gradientes de saída do modelo GOBF-RBF em relação a seus parâmetros (polos da base ortonormal, centros, larguras e pesos de saída da rede RBF). A segunda proposta se vale de um método metaheurístico chamado otimização por enxame de partículas com comportamento quântico. As metodologias são validadas com suas aplicações em três diferentes sistemas não lineares associados a modelos de processos práticos.
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Books on the topic "RBF"

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Liu, Jinkun. Radial Basis Function (RBF) Neural Network Control for Mechanical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34816-7.

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Liu, G. P. Stable sequential identification of continuous nonlinear dynamical systems by growing RBF networks. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.

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Hong, X. A Givens rotation based fast backward elimination algorithm for RBF neural network pruning. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1996.

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Liu, Jinkun. Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Results-based financing in healthcare: Developing an RBF approach for healthcare in different contexts : the cases of Mali and Ghana. Amsterdam: KIT Publishers, 2012.

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universitet, Novosibirskiĭ gosudarstvennyĭ tekhnicheskiĭ, ed. Nash radiotekhnicheskiĭ: 55 let fakulʹtetu RTF-REF NETI-NGTU, 1953-2008 g. Novosibirsk: Izd-vo NGTU, 2008.

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Jónasson, Ragnar. Rof. Reykjavík: Veröld, 2012.

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Denise, Bookwalter, Bryant, Sarah (Sarah Herrick), 1979-, Chadwick Macy, Treacy Tricia, Shift-lab (Artistic group), and Big Jump Press, eds. REF. [Tuscaloosa, Alabama]: Big Jump Press, 2019.

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Great Britain. Royal Air Force. RAF. Edited by Handy Brian. Uxbridge: RAF, 2000.

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assot͡siat͡sii͡a, Rossiĭskai͡a bibliotechnai͡a. RBA. Sankt Peterburg: Rossiĭskai͡a bibliotechnai͡a assot͡siat͡sii͡a, 2005.

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Book chapters on the topic "RBF"

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Posypaiko, V. I., and E. A. Alekseeva. "RbF." In Phase Equilibria in Binary Halides, 377–80. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-9024-4_141.

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Biancolini, Marco Evangelos. "Fast RBF." In Fast Radial Basis Functions for Engineering Applications, 35–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-75011-8_3.

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Biancolini, Marco Evangelos. "RBF Tools." In Fast Radial Basis Functions for Engineering Applications, 63–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-75011-8_4.

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Burdsall, B., and C. Giraud-Carrier. "GA-RBF: A Self-Optimising RBF Network." In Artificial Neural Nets and Genetic Algorithms, 346–49. Vienna: Springer Vienna, 1998. http://dx.doi.org/10.1007/978-3-7091-6492-1_76.

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Biancolini, Marco Evangelos. "RBF Mesh Morphing." In Fast Radial Basis Functions for Engineering Applications, 93–117. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-75011-8_6.

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Chen, Wen. "New RBF Collocation Methods and Kernel RBF with Applications." In Lecture Notes in Computational Science and Engineering, 75–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56103-0_6.

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Biancolini, Marco Evangelos. "Data Mapping Using RBF." In Fast Radial Basis Functions for Engineering Applications, 329–58. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-75011-8_13.

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Aiolli, Fabio, and Michele Donini. "Learning Anisotropic RBF Kernels." In Artificial Neural Networks and Machine Learning – ICANN 2014, 515–22. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11179-7_65.

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Liu, Jinkun. "Backstepping Control with RBF." In Radial Basis Function (RBF) Neural Network Control for Mechanical Systems, 251–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34816-7_8.

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Rivas, V. M., P. A. Castillo, and J. J. Merelo. "Evolving RBF Neural Networks." In Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence, 506–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45720-8_60.

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Conference papers on the topic "RBF"

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Skala, Vaclav. "Progressive RBF interpolation." In the 7th International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1811158.1811161.

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Fu, Zhuo-Jia. "Radial Basis Function Methods for Fractional Derivative Applications." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-48016.

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In recent decades, the theoretical researches and experimental results show that fractional derivative model can be a powerful tool to describe the contaminant transport through complex porous media and the dynamic behaviors of real viscoelastic materials. Consequently, growing attention has been attracted to numerical solution of fractional derivative model. Radial basis function (RBF) meshless technique is one of the most popular and powerful numerical methods, which are mathematically simple, and avoid troublesome mesh generation for high-dimensional problems involving irregular or moving boundary. Recently, RBF-based meshless methods, such as the Boundary Particle Method and the Method of Approximate Particular Solutions, have been successfully applied to fractional derivative problems. The Boundary Particle Method is one of truly boundary-only RBF collocation schemes, which employs both the semi-analytical basis functions to approximate the FDE solutions. Inspired by the boundary collocation RBF techniques, the Method of Approximate Particular Solutions is one of the domain-type RBF collocation schemes with easy-to-use merit, which employs the particular solution RBFs for the solution of FDEs. This study will make a numerical investigation on the abovementioned RBF meshless methods to fractional derivative problems. The convergence rate, numerical accuracy and stability of these schemes will be examined through several benchmark examples.
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Xiong, Anping, Ya You, and Linbo Long. "L-RBF: A Customer Churn Prediction Model Based on Lasso + RBF." In 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 2019. http://dx.doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00121.

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Jia, Yuntao, Xinlai Ni, Eric Lorimer, Michael Mullan, Ross Whitaker, and John C. Hart. "RBF Dipole Surface Evolution." In 2010 Shape Modeling International (SMI). IEEE, 2010. http://dx.doi.org/10.1109/smi.2010.41.

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Guang-Bin Huang, P. Saratchandran, and N. Sundararajan. "A Recursive Growing and Pruning RBF (GAP-RBF) Algorithm for Function Approximations." In 4th International Conference on Control and Automation. Final Program and Book of Abstracts. IEEE, 2003. http://dx.doi.org/10.1109/icca.2003.1595070.

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Li, Zhigang, Jingwen Hu, and Jinhuan Zhang. "Comparison of Different Radial Basis Functions in Developing Subject-Specific Infant Head Finite Element Models for Injury Biomechanics Study." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80162.

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Developing a subject-specific finite element (FE) model, especially with only high quality hexahedral solid elements and quadrilateral shell elements, is very time-consuming. Recently, template-based mesh morphing method has become popular to construct subject-specific FE models, in which a baseline FE mesh can be morphed into a FE model with subject-specific geometry. Because the mesh morphing algorithm could be programmed and run automatically, it is a very promising method for future applications of subject-specific FE models in injury biomechanics studies. Radial Basis Function (RBF) as a powerful spatial interpolation method has already been used as a mesh morphing method (1). The types of RBFs can affect the morphed mesh quality and geometry accuracy in the RBF method. However, to date, no previous study has tried to compare the differences generated by different RBFs. Therefore, in this study, different RBFs were used to morph a baseline infant head FE model into 10 different subject-specific infant head FE models based on CT images from 10 children aged from 0 to 3 months. The mesh quality and geometry accuracy of the subject-specific models generated by different RBFs were compared using statistic analysis.
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Khan, Shujaat, Jawwad Ahmad, Alishba Sadiq, Imran Naseem, and Muhammad Moinuddin. "Spatio-Temporal RBF Neural Networks." In 2018 3rd International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST). IEEE, 2018. http://dx.doi.org/10.1109/iceest.2018.8643322.

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Bellocchio, Francesco, Stefano Ferrari, Vincenzo Piuri, and N. Alberto Borghese. "Online training of Hierarchical RBF." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4371292.

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Wilson, Terry A., Steven K. Rogers, Mark E. Oxley, Thomas F. Rathbun, Martin P. DeSimio, and Matthew Kabrisky. "RBF iterative construction algorithm (RICA)." In Aerospace/Defense Sensing and Controls, edited by Steven K. Rogers, David B. Fogel, James C. Bezdek, and Bruno Bosacchi. SPIE, 1998. http://dx.doi.org/10.1117/12.304831.

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Rozycki, Pawel, Janusz Kolbusz, Aleksander Malinowski, and Bogdan M. Wilamowski. "Effective Training of RBF Networks." In 2019 12th International Conference on Human System Interaction (HSI). IEEE, 2019. http://dx.doi.org/10.1109/hsi47298.2019.8942614.

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Reports on the topic "RBF"

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Marra, J. E. Receipt and processing of RBOF/RRF liquid waste in H-Tank Farm. Office of Scientific and Technical Information (OSTI), October 1994. http://dx.doi.org/10.2172/10104090.

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González-Montaña, Luis Antonio. Semantic-based methods for morphological descriptions: An applied example for Neotropical species of genus Lepidocyrtus Bourlet, 1839 (Collembola: Entomobryidae). Verlag der Österreichischen Akademie der Wissenschaften, November 2021. http://dx.doi.org/10.1553/biosystecol.1.e71620.

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The production of semantic annotations has gained renewed attention due to the development of anatomical ontologies and the documentation of morphological data. Two methods are proposed in this production, differing in their methodological and philosophical approaches: class-based method and instance-based method. The first, the semantic annotations are established as class expressions, while in the second, the annotations incorporate individuals. An empirical evaluation of the above methods was applied in the morphological description of Neotropical species of the genus Lepidocyrtus (Collembola: Entomobryidae: Lepidocyrtinae). The semantic annotations are expressed as RDF triple, which is a language most flexible than the Entity-Quality syntax used commonly in the description of phenotypes. The morphological descriptions were built in Protégé 5.4.0 and stored in an RDF store created with Fuseki Jena. The semantic annotations based on RDF triple increase the interoperability and integration of data from diverse sources, e.g., museum data. However, computational challenges are present, which are related with the development of semi-automatic methods for the generation of RDF triple, interchanging between texts and RDF triple, and the access by non-expert users.
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Глуходід, Максим Володимирович, Олена Петрівна Ліннік, Сергій Олексійович Семеріков, and Світлана Вікторівна Шокалюк. Реалізація моделі SaaS в системі мобільного навчання інформатичних дисциплін. Міністерство регіонального розвитку та будівництва України, September 2010. http://dx.doi.org/10.31812/0564/945.

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Значна кількість програмних засобів Web 2.0 побудовані на основі моделі SaaS (Software as а service – програмне забезпечення як послуга) – пропозиції програмного забезпечення користувачеві, за якої постачальник розробляє Web-додаток, розміщує його і управляє ним з метою і можливістю використання замовниками через Інтернет. Доступ до існуючого програмного забезпечення може бути наданий через proxyдодаток, що надає інтерфейс «програма за запитом» (On-Demand). Основними протоколами, необхідними для реалізації такого інтерфейсу, є HTTP (для взаємодії між серверами сесій та додатків), RFB та RDP (для відображення віддалених робочих столів та додатків), SSH (для тунелювання потоку RFB).
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Rose, Scott. Planning for a Zero Trust Architecture. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.cswp.20.

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NIST Special Publication 800-207 defines zero trust as a set of cybersecurity principles used when planning and implementing an enterprise architecture. These principles apply to endpoints, services, and data flows. Input and cooperation from various stakeholders in an enterprise is needed for a zero trust architecture to succeed in improving the enterprise security posture. Some of these stakeholders may not be familiar with risk analysis and management. This document provides an overview of the NIST Risk Management Framework (NIST RMF) and how the NIST RMF can be applied when developing and implementing a zero trust architecture.
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Miner, A. N., and S. F. Ortaldo. Hazards assessment document for receiving basin for offsite fuel (244-H) and resin regeneration facility (245-H) (RBOF/RRF). Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10109033.

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Danican(archived), Li. PR218-173602-R01 Assessment of Fitness-for-Service for Crack-within-Corrosion Anomalies. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), May 2020. http://dx.doi.org/10.55274/r0011675.

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Continuous crack defects in corroded areas of pipe have been identified as potential cause failures and significant accidents. PRCI was tasked with providing a model to pipeline operators with detailed step-by-step procedures for evaluating the effect of interacting corrosion and crack threats on the integrity of pipelines. There are several existing assessment methodologies for different types of anomaly such as blunt type and crack-like type. The predicted failure pressure PFP results from existing assessment methods were compared and reviewed in this research. Finite Element Analysis (FEA) is a well-documented tool for the accurate assessment of crack-in-corrosion (CIC). Hence, FEA was used in this research to conduct the PFP assessment the results of which were verified with burst tests performed at the Kiefner laboratory as well as data from previous PRCI research: PR-186-113600, Grinding Limits for Repair of SCC on Operating Pipelines (see Ref 18). Additionally, data analytics methodology was used in conjunction with FEA results to develop a relationship between stress intensity and CIC geometry and material properties. The resultant data-analytics derived equation was subsequently verified against burst test results taken from Hosseini's 2010 publication (see Ref 3 and Ref 4).
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Fulk, David A. Demystifying RBL,. Fort Belvoir, VA: Defense Technical Information Center, October 1999. http://dx.doi.org/10.21236/ada369467.

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Heggen, Hans Olav. PR186-215102-R01 Subsea Pipeline Risk-Based Inspection Benchmarking. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2022. http://dx.doi.org/10.55274/r0012237.

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There are many standards, recommended practices (RP) and guidelines available for subsea pipe-line integrity management (PIM). In all of these, inspection is a key part of managing the integrity of subsea pipelines. However, detailed coverage of risk-based inspection (RBI) and detailed inspection planning is limited in these standards, RPs and guidelines; optimization of inspection and inspection frequency is generally determined at operator's discretion unless strictly regulated by authorities. Thus, there is a need to identify operator best practices and attempt to define a unified decision-making process to optimize inspection and inspection frequencies. This document: � Summarizes the most relevant standards, RPs and guidelines with respect to RBI � Reports the findings from answered questionnaires and interviews with operators, and � Identifies potential paths forward to reach a unified inspection planning best practice
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Tabassi, Elham. AI Risk Management Framework. Gaithersburg, MD: National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.ai.100-1.

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As directed by the National Artificial Intelligence Initiative Act of 2020 (P.L. 116-283), the goal of the AI RMF is to offer a resource to the organizations designing, developing, deploying, or using AI systems to help manage the many risks of AI and promote trustworthy and responsible development and use of AI systems. The Framework is intended to be voluntary, rights-preserving, non-sector specific, and use-case agnostic, providing flexibility to organizations of all sizes and in all sectors and throughout society to implement the approaches in the Framework. The AI RMF is intended to be practical, to adapt to the AI landscape as AI technologies continue to develop, and to be operationalized by organizations in varying degrees and capacities so society can benefit from AI while also being protected from its potential harms.
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Quak, Evert-jan, Kelbesa Megersa, and Keir Macdonald. The Commercial and Financial Case for Responsible Business Conduct and What Works for Promotion. Institute of Development Studies, July 2023. http://dx.doi.org/10.19088/k4d.2023.004.

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This evidence brief shows that business’s sustainability strategies that drive better financial performance do so through mediating factors, such as enhancing business reputation, increasing stakeholder partnerships, mitigating business risks, and strengthening innovation capacity. Recent empirical literature shows optimism that investing in RBC is a way to increase competitiveness, improve financial returns on investments and firm valuation, while reducing business costs. Empirical evidence also shows that RBC has potential to decrease systematic risk and improves firm value. When companies with a good sustainability profile are acquired, the market reaction is unanimously positive and a ‘high-sustainability’ portfolio often outperforms a ‘low-sustainability’ portfolio. However, there are still barriers which prevent faster uptake of responsible business practices, including lack of information on different aspects of business conduct and tensions between desire to demonstrate short-term improvements in practice, (typically for shareholders) and the need for longer-term planning.
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