Academic literature on the topic 'Visualisation de gradient'
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Journal articles on the topic "Visualisation de gradient"
Ashe, Hilary L. "BMP Signalling: Visualisation of the Sog Protein Gradient." Current Biology 12, no. 8 (April 2002): R273—R275. http://dx.doi.org/10.1016/s0960-9822(02)00798-4.
Full textHarvey, Steven A., and James C. Smith. "Visualisation and Quantification of Morphogen Gradient Formation in the Zebrafish." PLoS Biology 7, no. 5 (May 5, 2009): e1000101. http://dx.doi.org/10.1371/journal.pbio.1000101.
Full textWedge, Daniel, Yathunanthan Sivarajah, Eun-Jung Holden, Peter Kovesi, Chris Wijns, and Paul Johnston. "Mass anomaly visualisation and depth estimation from full tensor gradient gravity data." ASEG Extended Abstracts 2013, no. 1 (December 2013): 1–5. http://dx.doi.org/10.1071/aseg2013ab152.
Full textHyde, Georgia, Andrew Fry, Ashok Raghavan, and Elspeth Whitby. "Biometric analysis of the foetal meconium pattern using T1 weighted 2D gradient echo MRI." BJR|Open 2, no. 1 (November 2020): 20200032. http://dx.doi.org/10.1259/bjro.20200032.
Full textWołosz, Krzysztof J., and Jacek Wernik. "Air Evacuation from the Pressure Accumulator during Work Cycle of the Pneumatic Pulsator." Applied Mechanics and Materials 797 (November 2015): 327–33. http://dx.doi.org/10.4028/www.scientific.net/amm.797.327.
Full textTalele, Virendra, Niranjan Sonawane, Omkar Chavan, Akash Divate, Niraj Badhe, Mirza Adil Ansar Beg, and Harshal Patil. "Aerodynamic Flow Visualisation Over Surfaces Using Smoke Separation Method from Ansys Fluent." International Journal of Innovative Science and Research Technology 5, no. 7 (July 16, 2020): 32–35. http://dx.doi.org/10.38124/ijisrt20jul108.
Full textMedved, M. S., S. D. Rud, G. E. Trufanov, and D. S. Lebedev. "The intraoperative visualisation technique during lead implantation into the cardiac conductive system: aspects of computed tomography: prospective study." Diagnostic radiology and radiotherapy 14, no. 3 (October 5, 2023): 46–52. http://dx.doi.org/10.22328/2079-5343-2023-14-3-46-52.
Full textHauenstein, Jacob D., and Timothy S. Newman. "Achieving Better Energy Efficiency in Volume Analysis and Direct Volume Rendering Descriptor Computation." Computers 13, no. 2 (February 13, 2024): 51. http://dx.doi.org/10.3390/computers13020051.
Full textD, Nivedhidha, and Dr Sujatha B. "Big Data Visualisation of Heart Disease Prediction Using High Level Ada Boosting Algorithm and Gradient Boosting Algorithm." International Research Journal of Computer Science 11, no. 04 (April 5, 2024): 204–11. http://dx.doi.org/10.26562/irjcs.2024.v1104.12.
Full textZhao, H., and Q. Hu. "3D RECONSTRUCTION AND RENDERING VISUALIZATION OF TUNNEL POINT CLOUD." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-3/W1-2022 (October 27, 2022): 93–101. http://dx.doi.org/10.5194/isprs-archives-xlviii-3-w1-2022-93-2022.
Full textDissertations / Theses on the topic "Visualisation de gradient"
Latard, Véronique. "Méthodes de visualisation par gradient d'indice en mécanique des milieux non homogènes : application à la diffusion acoustique et aux écoulements diphasiques." Lille 1, 1998. https://pepite-depot.univ-lille.fr/LIBRE/Th_Num/1998/55376-1998-5.pdf.
Full textCuvier, Christophe. "Contrôle actif du décollement d’une couche limite turbulente en gradient de pression adverse." Thesis, Ecole centrale de Lille, 2012. http://www.theses.fr/2012ECLI0015/document.
Full textFlow control allows to suppress boundary layers separation, which largely deteriorates the performances of machineries which interact with fluid (aircraft, cars, turbomachineries, etc.). This study concentrates more particularly on active flow control with continuous jets. A ramp model which allows to manipulate the boundary layer equilibrium was realized and set in Laboratoire de Mécanique de Lille wind tunnel. The first part of the work was to characterize the flow over the model with wool-tufts and oil-film visualisations, pressure distribution, hot-wire anemometry and PIV measurements. The aim was to define a ramp configuration for the flow control study and to know precisely the characteristics of the retained flow. The selected configuration corresponds to an adverse pressure gradient flow followed by a separation on the flap, which mimics the flow on the suction side of a wing. With friction probes coupled with wool-tufts visualisations, passive actuators and active continuous jets were studied and optimised. Finally, some of the optimum active configurations found were characterized in more details with PIV measurements over the entire separated region. It appears that continuous jets do not suppress the separation mechanisms, but only reduce their intensity and squeeze them more or less against the wall
Tariq, Sonia. "Developing an optical sensor for the visualisation of pH gradients in marine sediments." Thesis, University of East Anglia, 2015. https://ueaeprints.uea.ac.uk/56901/.
Full textMasure, Loïc. "Towards a better comprehension of deep learning for side-channel analysis." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS443.
Full textThe recent improvements in deep learning (DL) have reshaped the state of the art of side-channel attacks (SCA) in the field of embedded security. Yet, their ``black-box'' aspect nowadays prevents the identification of the vulnerabilities exploited by such adversaries. Likewise, it is hard to conclude from the outcomes of these attacks about the security level of the target device. All those reasons have made the SCA community skeptical about the interest of such attack techniques in terms of security evaluation. This thesis proposes to draw a better understanding of deep learning for SCA. We show how the training of such estimators can be analyzed through the security evaluation prism, in order to estimate a priori the complexity of an SCA, without necessarily mounting the attack. We also remark on simulated experiments that those models, trained without prior knowledge about the counter-measures added to protect the target device, can reach the theoretical security bounds expected by the literature. This validates the relevance or not of some counter-measures such as secret-sharing or hiding, against DL-based SCA. Furthermore, we explain how to exploit a trained neural network to efficiently characterize the information leakage in the observed traces, even in presence of counter-measures making other classical charactertization techniques totally inefficient. This enables a better understanding of the leakage implicitly exploited by the neural network, and allows to refine the evaluator's diagnosis, in order to propose corrections to the developer
Callenaere, Mathieu. "Étude physique des poches de cavitation partielle en écoulement interne." Grenoble INPG, 1999. http://www.theses.fr/1999INPG0090.
Full textBooks on the topic "Visualisation de gradient"
Tatsi, Angela. The separation and visualisation of human plasma VLDL subclasses by density gradient centrifugation. 1996.
Find full textBook chapters on the topic "Visualisation de gradient"
Tayyub, Jawad, Muhammad Sarmad, and Nicolas Schönborn. "Explaining Deep Neural Networks for Point Clouds Using Gradient-Based Visualisations." In Computer Vision – ACCV 2022, 155–70. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26284-5_10.
Full textBullward, Alistair, Abdulaziz Aljebreen, Alexander Coles, Ciarán McInerney, and Owen Johnson. "Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt." In Lecture Notes in Business Information Processing, 341–53. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27815-0_25.
Full text"Vector Calculus." In Essential Mathematics for NMR and MRI Spectroscopists, 119–76. The Royal Society of Chemistry, 2016. http://dx.doi.org/10.1039/bk9781782627975-00119.
Full textLu, Jia, Jun Shen, Wei Qi Yan, and Boris Bačić. "An Empirical Study for Human Behavior Analysis." In Computer Vision, 2166–83. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5204-8.ch095.
Full textConference papers on the topic "Visualisation de gradient"
Costa, Jose Alfredo F., and Hujun Yin. "Gradient-based SOM clustering and visualisation methods." In 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. http://dx.doi.org/10.1109/ijcnn.2010.5596623.
Full textJohnson, Mark W. "Turbulent Spot Characteristics in Boundary Layers Subjected to Streamwise Pressure Gradient." In ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/98-gt-124.
Full textZhong, S., T. P. Chong, and H. P. Hodson. "Visualisation of Turbulent Wedges Under Favourable Pressure Gradients Using Both Shear-Sensitive and Temperature-Sensitive Liquid Crystals." In ASME 2002 Joint U.S.-European Fluids Engineering Division Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/fedsm2002-31168.
Full textBoulanger, Joan, Olivier Balima, and Andre´ Charette. "A Reconstruction Scheme Based on the Radiative Transfer Equation for Graded Index Semi-Transparent Media." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-22818.
Full textHine, Rory D., Judith R. Farman, Sam D. Grimshaw, and James V. Taylor. "Short Ducted Fan Diffusers With Integral Splitter Blades." In ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-102165.
Full textHaferkamp, H., M. Goede, and O. Thürk. "Short Time Process Observation During Laser Remelting of Aluminium Diecast Alloys." In The European Conference on Lasers and Electro-Optics. Washington, D.C.: Optica Publishing Group, 1998. http://dx.doi.org/10.1364/cleo_europe.1998.cthh93.
Full textUmbleja, Kadri. "Students' grading control and visualisation in competence-based learning approach." In 2015 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2015. http://dx.doi.org/10.1109/educon.2015.7095985.
Full textFitzgerald, J. E., A. J. Niven, and M. R. D. Davies. "Turbine Blade Aerodynamic Wall Shear Stress Measurements and Predictions." In ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/98-gt-562.
Full textPatterson, D. J., and M. Hoeger. "The Effect of Reynolds Number and Velocity Distribution on LP Turbine Cascade Performance." In ASME 1986 International Gas Turbine Conference and Exhibit. American Society of Mechanical Engineers, 1986. http://dx.doi.org/10.1115/86-gt-271.
Full textMondin, Gabriel, William Riéra, Pierre Duquesne, and Xavier Ottavy. "Beneficial Effects of Guide Fins on Corner Separation." In ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-101012.
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