يعرض 1 - 20 نتائج من 97 نتيجة بحث عن '"Ríos, Richard"', وقت الاستعلام: 0.60s تنقيح النتائج
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    Academic Journal
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    Academic Journal

    المساهمون: Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universidad Nacional de Colombia Bogotà (UNAL), CRLCC Eugène Marquis (CRLCC), UNICANCER

    المصدر: ISSN: 1361-8415.

    Relation: info:eu-repo/semantics/altIdentifier/pmid/28343079; hal-01518411; https://univ-rennes.hal.science/hal-01518411; https://univ-rennes.hal.science/hal-01518411/document; https://univ-rennes.hal.science/hal-01518411/file/Rios%20et%20al.%20-%20Population%20model%20of%20bladder%20motion%20and%20deformation.pdf; PUBMED: 28343079

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    Dissertation/ Thesis

    المساهمون: Gutiérrez Paucar, Félix Javier

    المصدر: Universidad Nacional Federico Villarreal ; Repositorio Institucional - UNFV

    وصف الملف: application/pdf

    Relation: Alejos, R. (2022). El sistema de transporte y los costos explícitos de la empresa San Fernando. [Tesis de maestría, Universidad Nacional Federico Villarreal]. Repositorio Institucional UNFV. https://hdl.handle.net/20.500.13084/6243; https://hdl.handle.net/20.500.13084/6243

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    Book
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    Academic Journal

    المصدر: Hu, Lien-Hsin; Miller, Robert J H; Sharir, Tali; Commandeur, Frederic; Rios, Richard; Einstein, Andrew J; Fish, Mathews B; Ruddy, Terrence D; Kaufmann, Philipp A; Sinusas, Albert J; Miller, Edward J; Bateman, Timothy M; Dorbala, Sharmila; Di Carli, Marcelo; Liang, Joanna X; Eisenberg, Evann; Dey, Damini; Berman, Daniel S; Slomka, Piotr J (2021). Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT. European Heart Journal. Cardiovascular Imaging, 22(6):705-714.

    مصطلحات موضوعية: Clinic for Nuclear Medicine, 610 Medicine & health

    Relation: https://www.zora.uzh.ch/189296; info:pmid/32533137; urn:issn:2047-2404

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    Academic Journal

    المصدر: TecnoLógicas; Vol. 19 No. 37 (2016); 45-59 ; TecnoLógicas; Vol. 19 Núm. 37 (2016); 45-59 ; 2256-5337 ; 0123-7799

    وصف الملف: application/pdf

    Relation: https://revistas.itm.edu.co/index.php/tecnologicas/article/view/59/55; J. T. Pukrushpan, A. G. Stefanopoulou, and Huei Peng, “Control of fuel cell breathing,” IEEE Control Syst. Mag., vol. 24, no. 2, pp. 30–46, Apr. 2004.; C. A. Ramos-Paja, C. Bordons, A. Romero, R. Giral, and L. Martinez-Salamero, “Minimum Fuel Consumption Strategy for PEM Fuel Cells,” IEEE Trans. Ind. Electron., vol. 56, no. 3, pp. 685–696, Mar. 2009.; C. Bordons, A. Arce, and A. J. del Real, “Constrained predictive control strategies for PEM fuel cells,” in 2006 American Control Conference, 2006, p. 6 pp.; M. A. Danzer, J. Wilhelm, H. Aschemann, and E. P. Hofer, “Model-based control of cathode pressure and oxygen excess ratio of a PEM fuel cell system,” J. Power Sources, vol. 176, no. 2, pp. 515–522, Feb. 2008.; I. Matraji, S. Laghrouche, S. Jemei, and M. Wack, “Robust control of the PEM fuel cell air-feed system via sub-optimal second order sliding mode,” Appl. Energy, vol. 104, pp. 945–957, Apr. 2013.; W. Garcia-Gabin, F. Dorado, and C. Bordons, “Real-time implementation of a sliding mode controller for air supply on a PEM fuel cell,” J. Process Control, vol. 20, no. 3, pp. 325–336, Mar. 2010.; S. Laghrouche, M. Harmouche, F. S. Ahmed, and Y. Chitour, “Control of PEMFC Air-Feed System Using Lyapunov-Based Robust and Adaptive Higher Order Sliding Mode Control,” IEEE Trans. Control Syst. Technol., vol. 23, no. 4, pp. 1594–1601, Jul. 2015.; J. K. Gruber, C. Bordons, and A. Oliva, “Nonlinear MPC for the airflow in a PEM fuel cell using a Volterra series model,” Control Eng. Pract., vol. 20, no. 2, pp. 205–217, Feb. 2012.; C. A. Ramos-Paja, R. Giral, L. Martinez-Salamero, J. Romano, A. Romero, and G. Spagnuolo, “A PEM Fuel-Cell Model Featuring Oxygen-Excess-Ratio Estimation and Power-Electronics Interaction,” IEEE Trans. Ind. Electron., vol. 57, no. 6, pp. 1914–1924, Jun. 2010.; C. A. Ramos-Paja, G. Spagnuolo, G. Petrone, R. Giral, and A. Romero, “Fuel cell MPPT for fuel consumption optimization,” in Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010, pp. 2199–2202.; C. A. Ramos-Paja, G. Spagnuolo, G. Petrone, and E. Mamarelis, “A perturbation strategy for fuel consumption minimization in polymer electrolyte membrane fuel cells: Analysis, Design and FPGA implementation,” Appl. Energy, vol. 119, pp. 21–32, Apr. 2014.; A. Giustiniani, G. Petrone, C. Pianese, M. Sorrentino, G. Spagnuolo, and M. Vitelli, “PEM Fuel Cells Control by means of the Perturb and Observe Technique,” in IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, 2006, pp. 4349–4354.; J. Lu and A. Zahedi, “Air supply control for maximum efficiency point tracking in fuel cell systems,” J. Renew. Sustain. Energy, vol. 4, no. 3, p. 33106, May 2012.; X. D. Xue, K. W. E. Cheng, and D. Sutanto, “Unified mathematical modelling of steady-state and dynamic voltage–current characteristics for PEM fuel cells,” Electrochim. Acta, vol. 52, no. 3, pp. 1135–1144, Nov. 2006.; S. O. T. Ogaji, R. Singh, P. Pilidis, and M. Diacakis, “Modelling fuel cell performance using artificial intelligence,” J. Power Sources, vol. 154, no. 1, pp. 192–197, Mar. 2006.; A. Hernandez, D. Hissel, and R. Outbib, “Non Linear State Space Modelling of a PEMFC,” Fuel Cells, vol. 6, no. 1, pp. 38–46, Feb. 2006.; J. Golbert and D. R. Lewin, “Model-based control of fuel cells: (1) Regulatory control,” J. Power Sources, vol. 135, no. 1–2, pp. 135–151, Sep. 2004.; J. Golbert and D. R. Lewin, “Model-based control of fuel cells (2): Optimal efficiency,” J. Power Sources, vol. 173, no. 1, pp. 298–309, Nov. 2007.; M. J. Khan and M. T. Iqbal, “Modelling and Analysis of Electro-chemical, Thermal, and Reactant Flow Dynamics for a PEM Fuel Cell System,” Fuel Cells, vol. 5, no. 4, pp. 463–475, Dec. 2005.; R. Rios, C. Ramos, and J. Espinosa, “Non-Linear State Space Model and Control Strategy for Pem Fuel Cell Systems,” Dyna, vol. 78, no. 166, pp. 60–67, 2011.; N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Optimization of Perturb and Observe Maximum Power Point Tracking Method,” IEEE Trans. Power Electron., vol. 20, no. 4, pp. 963–973, Jul. 2005.; N. Femia, P. G., G. Spagnuolo, and M. Vitelli, “Power Electronics and Control Techniques for Maximum Energy Harvesting in Photovoltaic Systems (Femia, N. et al; 2013) [Book News],” IEEE Ind. Electron. Mag., vol. 7, no. 3, pp. 66–67, Sep. 2013.; D. Simon, Optimal state estimation: Kalman, H infinity, and nonlinear approaches, 1st ed. Hoboken, N.J.: Wiley-Interscience, 2006.; https://revistas.itm.edu.co/index.php/tecnologicas/article/view/59

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    Academic Journal

    المساهمون: Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Grupo de Investigaciones en Estadística, Escuela de Estadística, Universidad Nacional de Colombia Bogotà (UNAL)-Universidad Nacional de Colombia Bogotà (UNAL), IReSP - Plan Cancer 2009-20133 Call (No. C13005N5)

    المصدر: Med Image Comput Comput Assist Interv ; 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II ; Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 ; https://www.hal.inserm.fr/inserm-00954534 ; Med Image Comput Comput Assist Interv, 2013, 16 (Pt 2), pp.387-94. ⟨10.1007/978-3-642-40763-5_48⟩

    مصطلحات موضوعية: [SDV.CAN]Life Sciences [q-bio]/Cancer

    جغرافية الموضوع: Nagoya, Japan