Academic literature on the topic 'Estimation du flux de passagers'
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Journal articles on the topic "Estimation du flux de passagers"
Li, H. Y., and W. M. Yan. "Inverse Convection Problem for Determining Wall Heat Flux in Annular Duct Flow." Journal of Heat Transfer 122, no. 3 (February 29, 2000): 460–64. http://dx.doi.org/10.1115/1.1287169.
Full textThapar, Vikram, and Fernando A. Escobedo. "Simultaneous estimation of free energies and rates using forward flux sampling and mean first passage times." Journal of Chemical Physics 143, no. 24 (December 28, 2015): 244113. http://dx.doi.org/10.1063/1.4938248.
Full textPapadogianni, Vasiliki N., Alexandros Romeos, Athanasios Giannadakis, Konstantinos Perrakis, and Thrassos Panidis. "Fire Ignition and Propagation in Hidden Zones of Aircrafts: A Novel Confined Fire Apparatus (CFA) for Flame Spreading Investigation." Fire 6, no. 8 (July 31, 2023): 292. http://dx.doi.org/10.3390/fire6080292.
Full textTrentini, Anna, and Nicolas Malhene. "Maîtriser la coexistence des flux de passagers et de marchandises en milieu urbain." Revue Française de Gestion Industrielle 29, no. 2 (June 1, 2010): 105–23. http://dx.doi.org/10.53102/2010.29.02.628.
Full textLin, Jingrou, Qingyang Sun, Yupeng Liu, Haijun Ye, Danling Tang, Xiaohao Zhang, and Yang Gao. "Sea Surface pCO2 Response to Typhoon “Wind Pump” and Kuroshio Intrusion in the Northeastern South China Sea." Remote Sensing 16, no. 1 (December 27, 2023): 123. http://dx.doi.org/10.3390/rs16010123.
Full textBhatt, Apoorva, Paweł Malecki, and Dariusz Góra. "Shore Shadow Effect in Baikal." Universe 8, no. 7 (June 24, 2022): 347. http://dx.doi.org/10.3390/universe8070347.
Full textChen, Changsheng, R. C. Beardsley, Song Hu, Qichun Xu, and Huichan Lin. "Using MM5 to Hindcast the Ocean Surface Forcing Fields over the Gulf of Maine and Georges Bank Region*." Journal of Atmospheric and Oceanic Technology 22, no. 2 (February 1, 2005): 131–45. http://dx.doi.org/10.1175/jtech-1682.1.
Full textGutiérrez-Jiménez, Eugenio, Changsi Cai, Irene Klærke Mikkelsen, Peter Mondrup Rasmussen, Hugo Angleys, Mads Merrild, Kim Mouridsen, et al. "Effect of electrical forepaw stimulation on capillary transit-time heterogeneity (CTH)." Journal of Cerebral Blood Flow & Metabolism 36, no. 12 (July 21, 2016): 2072–86. http://dx.doi.org/10.1177/0271678x16631560.
Full textStevenson, Ian H., Anil Cherian, Brian M. London, Nicholas A. Sachs, Eric Lindberg, Jacob Reimer, Marc W. Slutzky, Nicholas G. Hatsopoulos, Lee E. Miller, and Konrad P. Kording. "Statistical assessment of the stability of neural movement representations." Journal of Neurophysiology 106, no. 2 (August 2011): 764–74. http://dx.doi.org/10.1152/jn.00626.2010.
Full textVilleneuve, Paul. "Le Québec et l’intégration continentale : un processus à plusieurs vitesses et à directions multiples." Cahiers de géographie du Québec 41, no. 114 (April 12, 2005): 337–47. http://dx.doi.org/10.7202/022672ar.
Full textDissertations / Theses on the topic "Estimation du flux de passagers"
Drosouli, Ifigeneia. "Multimodal machine learning methods for pattern analysis in smart cities and transportation." Electronic Thesis or Diss., Limoges, 2024. http://www.theses.fr/2024LIMO0028.
Full textIn the context of modern, densely populated urban environments, the effective management of transportation and the structure of Intelligent Transportation Systems (ITSs) are paramount. The public transportation sector is currently undergoing a significant expansion and transformation with the objective of enhancing accessibility, accommodating larger passenger volumes without compromising travel quality, and embracing environmentally conscious and sustainable practices. Technological advancements, particularly in Artificial Intelligence (AI), Big Data Analytics (BDA), and Advanced Sensors (AS), have played a pivotal role in achieving these goals and contributing to the development, enhancement, and expansion of Intelligent Transportation Systems. This thesis addresses two critical challenges within the realm of smart cities, specifically focusing on the identification of transportation modes utilized by citizens at any given moment and the estimation and prediction of transportation flow within diverse transportation systems. In the context of the first challenge, two distinct approaches have been developed for Transportation Mode Detection. Firstly, a deep learning approach for the identification of eight transportation media is proposed, utilizing multimodal sensor data collected from user smartphones. This approach is based on a Long Short-Term Memory (LSTM) network and Bayesian optimization of model’s parameters. Through extensive experimental evaluation, the proposed approach demonstrates remarkably high recognition rates compared to a variety of machine learning approaches, including state-of-the-art methods. The thesis also delves into issues related to feature correlation and the impact of dimensionality reduction. The second approach involves a transformer-based model for transportation mode detection named TMD-BERT. This model processes the entire sequence of data, comprehends the importance of each part of the input sequence, and assigns weights accordingly using attention mechanisms to grasp global dependencies in the sequence. Experimental evaluations showcase the model's exceptional performance compared to state-of-the-art methods, highlighting its high prediction accuracy. In addressing the challenge of transportation flow estimation, a Spatial-Temporal Graph Convolutional Recurrent Network is proposed. This network learns from both the spatial stations network data and time-series of historical mobility changes to predict urban metro and bike sharing flow at a future time. The model combines Graph Convolutional Networks (GCN) and Long Short-Term Memory (LSTM) Networks to enhance estimation accuracy. Extensive experiments conducted on real-world datasets from the Hangzhou metro system and the NY City bike sharing system validate the effectiveness of the proposed model, showcasing its ability to identify dynamic spatial correlations between stations and make accurate long-term forecasts
Guesdon, Romain. "Estimation de poses humaines par apprentissage profond : application aux passagers des véhicules autonomes." Electronic Thesis or Diss., Lyon 2, 2024. http://www.theses.fr/2024LYO20002.
Full textResearch into autonomous cars has made great strides in recent decades, focusing particularly on analysis of the external environment and driving-related tasks. This has led to a significant increase in the autonomy of private vehicles. In this new context, it may be relevant to take an interest in the passengers of these autonomous vehicles, to study their behavior in the face of this revolution in the means of transport. The AURA AutoBehave project has been set up to explore these issues in greater depth. This project brings together several laboratories conducting research in different scientific disciplines linked to this theme, such as computer vision, biomechanics, emotions, and transport economics. This thesis carried out at the LIRIS laboratory is part of this project, in which we focus on methods for estimating the human poses of passengers using deep learning. We first looked at state-of-the-art solutions and developed both a dataset and a metric better suited to the constraints of our context. We also studied the visibility of the keypoints to help estimate the pose. We then tackled the problem of domain generalisation for pose estimation to propose an efficient solution under unknown conditions. Thus, we focused on the generation of synthetic passenger data for pose estimation. Among other things, we studied the application of generative networks and 3D modeling methods to our problem. We have used this data to propose different training strategies and two new network architectures. The proposed fusion approach associated with the training strategies makes it possible to take advantage of both generic and specific datasets, to improve the generalisation capabilities of pose estimation methods inside a car, particularly on the lower body
Shahnaz, Sabina. "Gas flux estimation from surface gas concentrations." Thesis, Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55073.
Full textCordova, Vicente D. "Regional-scale carbon flux estimation using MODIS imagery." Virtual Press, 2005. http://liblink.bsu.edu/uhtbin/catkey/1325989.
Full textDepartment of Natural Resources and Environmental Management
Goel, Gautam. "Dynamic flux estimation a novel framework for metabolic pathway analysis /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31769.
Full textCommittee Chair: Voit, Eberhard O.; Committee Member: Butera, Robert; Committee Member: Chen, Rachel; Committee Member: Kemp, Melissa; Committee Member: Neves, Ana Rute. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Bonnefous, Odile. "Estimation des vitesses d'écoulement des flux sanguins par échographie ultrasonore." Paris 7, 1986. http://www.theses.fr/1986PA077224.
Full textCooper, Daniel Ira. "Estimation of sensible heat flux from remotely sensed surface temperatures." Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/185151.
Full textComanescu, Mihai. "Flux and speed estimation techniques for sensorless control of induction motors." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1116338965.
Full textTitle from first page of PDF file. Document formatted into pages; contains xv, 109 p.; also includes graphics. Includes bibliographical references (p. 106-109). Available online via OhioLINK's ETD Center
Abareshi, Behzad. "Sensible heat flux estimation over a prairie grassland by neural networks." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23765.
Full textToffa, Ohini Kafui. "Estimation du flux optique en présence d'occultations par une approche TAC." Mémoire, Université de Sherbrooke, 2009. http://savoirs.usherbrooke.ca/handle/11143/4807.
Full textBooks on the topic "Estimation du flux de passagers"
Fried, Jeremy Steven. Forest inventory-based estimation of carbon stocks and flux in California forests in 1990. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2008.
Find full textC, Euler H., Vaughan William W, and United States. National Aeronautics and Space Administration., eds. Statistical technique for intermediate and long-range estimation of 13-month smoothed solar flux and geomagnetic index. [Marshall Space Flight Center], Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1996.
Find full textSnoussi, Mamma. Nature, estimation et comparaison des flux de matières issus des bassins versants de l'Adour (France), du Sebou, de l'Oum-er-Rbia et du Souss (Maroc): Impact du climat sur les apports fluviatiles à l'océan. Talence, France: Université de Bordeaux I, 1988.
Find full textMuhamad, Nauman Malik. Inverse Estimation of Heat Flux and Temperature in 3D Finite Domain. Grin Verlag, 2016.
Find full textVaez-Zadeh, Sadegh. Parameter Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0007.
Full textVaez-Zadeh, Sadegh. Rotor Position and Speed Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0006.
Full textStatistical technique for intermediate and long-range estimation of 13-month smoothed solar flux and geomagnetic index. [Marshall Space Flight Center], Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1996.
Find full textBook chapters on the topic "Estimation du flux de passagers"
Karlaganis, G., and J. Dettwiler. "Areal Solute flux Estimation: Legal Aspects." In Field-Scale Water and Solute Flux in Soils, 289–94. Basel: Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-9264-3_27.
Full textGoudar, Chetan T., Richard Biener, James M. Piret, and Konstantin B. Konstantinov. "Metabolic Flux Estimation in Mammalian Cell Cultures." In Animal Cell Biotechnology, 301–17. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-399-8_14.
Full textGoudar, Chetan T., Richard K. Biener, James M. Piret, and Konstantin B. Konstantinov. "Metabolic Flux Estimation in Mammalian Cell Cultures." In Animal Cell Biotechnology, 193–209. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-733-4_13.
Full textFeng, Yong, Minghao Zhou, and Xinghuo Yu. "Sliding-Mode Observer Based Flux Estimation of Induction Motors." In Intelligent Robotics and Applications, 530–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33515-0_52.
Full textHolzhütter, Hermann-Georg, and Anke Schwendel. "Estimation of Enzymatic Flux Rates from Kinetic Isotope Experiments." In Modern Trends in Biothermokinetics, 103–7. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2962-0_18.
Full textZhang, Tong, Christiaan F. Labuschagne, Karen H. Vousden, and Oliver D. K. Maddocks. "Direct Estimation of Metabolic Flux by Heavy Isotope Labeling Simultaneous with Pathway Inhibition: Metabolic Flux Inhibition Assay." In Metabolic Signaling, 109–19. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8769-6_8.
Full textAbtew, Wossenu, and Assefa Melesse. "Crop Yield Estimation Using Remote Sensing and Surface Energy Flux Model." In Evaporation and Evapotranspiration, 161–75. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4737-1_11.
Full textSadiq, Muhammad Muneef, and Mohammad Asif. "Numerical Estimation of Interfacial Heat Flux Using Inverse Heat Conduction Method." In Proceedings of International Conference in Mechanical and Energy Technology, 577–88. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2647-3_53.
Full textKaran, Vijay Kumar, P. R. Thakura, and A. N. Thakur. "Adaptive Compensation Algorithm for Flux Estimation of PM BLDC Motor Drives." In Lecture Notes in Electrical Engineering, 795–801. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8234-4_64.
Full textSusitra, D., B. Hema Malini, and V. Meenakshi. "Estimation of Magnetic Flux Linkage in SRM Using Various Defuzzification Techniques." In Advances in Intelligent Systems and Computing, 11–20. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2674-6_2.
Full textConference papers on the topic "Estimation du flux de passagers"
Hong, Chungpyo, Yutaka Asako, and Koichi Suzuki. "Performance of Parallel-Flow Gas-to-Gas Micro-Double-Tubes-Heat Exchangers." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12430.
Full textChen, Jay Chung, and Lai Ah Wong. "Inverse Estimation of Estuary Flux." In Eighth International Conference on Estuarine and Coastal Modeling. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40734(145)54.
Full textYe, Shubo, Qingjun Zhao, Xiaorong Xiang, Guang Xi, and Jianzhong Xu. "Modeling for Tip Clearance Effects on Stall-Onset Condition in Transonic Axial Compressors." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57081.
Full textFadgyas, M. C., M. V. Pricop, M. L. Niculescu, M. G. Cojocaru, and A. Dumitrache. "Fast computational hypersonic heat flux estimation." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5043974.
Full textChrysoulakis, Nektarios, Mattia Marconcini, Jean-Philippe Gastellu-Etchegorry, C. S. B. Grimmong, Christian Feigenwinter, Fredrik Lindberg, Fabio Del Frate, et al. "ANthropogenic heat FLUX estimation from Space." In 2017 Joint Urban Remote Sensing Event (JURSE). IEEE, 2017. http://dx.doi.org/10.1109/jurse.2017.7924591.
Full textKlammler, H., K. Hatfield, J. Luz, M. Annable, M. Newman, J. Cho, A. Peacock, V. Stucker, J. Ranville, and C. Clark. "Water and contaminant flux estimation from multi-layer passive flux meter measurements." In AFM2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/afm120271.
Full textStarcic, Antonio, Anita Martincevic, and Mario Vasak. "Estimation of disturbance heat flux in buildings." In 2015 IEEE Sensors Applications Symposium (SAS). IEEE, 2015. http://dx.doi.org/10.1109/sas.2015.7133615.
Full textAthavale, Apoorva, Kensuke Sasaki, Takashi Kato, and Robert D. Lorenz. "Magnetization state estimation in variable-flux PMSMs." In 2017 IEEE International Electric Machines and Drives Conference (IEMDC). IEEE, 2017. http://dx.doi.org/10.1109/iemdc.2017.8002081.
Full textCheewoo Lee. "Estimation of flux linkage by analyzing flux paths in a switched reluctance motor." In 2012 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2012. http://dx.doi.org/10.1109/vppc.2012.6422788.
Full textYan, Zhengzhang, Junlei Zhu, and Jiahao Chen. "PM Flux Linkage and Offset Voltage Adaptive Flux Estimation in AC Motor Drives." In 2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia). IEEE, 2024. http://dx.doi.org/10.1109/ipemc-ecceasia60879.2024.10567649.
Full textReports on the topic "Estimation du flux de passagers"
Martz, R. L., R. C. Gast, and L. J. Tyburski. Monte Carlo next-event point flux estimation for RCP01. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/10193014.
Full textMichael P. Bacon and Roger Francois. Estimation of Particle Flux and Remineralization Rate from Radioactive Disequilibrium. Office of Scientific and Technical Information (OSTI), May 2004. http://dx.doi.org/10.2172/824247.
Full textMcLaughlin, David J. UMass Participation in Air-Sea Flux Estimation in High Wind Boundary Layers. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada625696.
Full textMcLaughlin, David J. UMass Participation in Air-Sea Flux Estimation in High Wind Boundary Layers. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada627311.
Full textFried, Jeremy S., and Xiaoping Zhou. Forest inventory-based estimation of carbon stocks and flux in California forests in 1990. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2008. http://dx.doi.org/10.2737/pnw-gtr-750.
Full textKAPLAN, DANIEL. Estimation of Tritium Annual Flux From Concrete Rubble Buried in the E-Area Slit Trenches. Office of Scientific and Technical Information (OSTI), August 2004. http://dx.doi.org/10.2172/835581.
Full textFourrier, Marine. Integration of in situ and satellite multi-platform data (estimation of carbon flux for trop. Atlantic). EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d7.6.
Full textHughes, J. C., A. F. Henry, D. D. Lanning, and J. A. Bernard. An experimental evaluation of the instrumented flux synthesis method for the real-time estimation of reactivity. Final report. Office of Scientific and Technical Information (OSTI), January 1996. http://dx.doi.org/10.2172/167217.
Full textLiu, X., Z. Chen, and S. E. Grasby. Using shallow temperature measurements to evaluate thermal flux anomalies in the southern Mount Meager volcanic area, British Columbia, Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330009.
Full textKamai, Tamir, Gerard Kluitenberg, and Alon Ben-Gal. Development of heat-pulse sensors for measuring fluxes of water and solutes under the root zone. United States Department of Agriculture, January 2016. http://dx.doi.org/10.32747/2016.7604288.bard.
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