Literatura académica sobre el tema "Heterogeneous oceanic data"
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Artículos de revistas sobre el tema "Heterogeneous oceanic data"
Jourdin, F., O. Francis, P. Vincent y P. Mazzega. "Some results of heterogeneous data inversions for oceanic tides". Journal of Geophysical Research: Solid Earth 96, B12 (10 de noviembre de 1991): 20267–88. http://dx.doi.org/10.1029/91jb00426.
Texto completoSun, L. Charles. "Data Inter-Operability Driven by Oceanic Data Assimilation Needs". Marine Technology Society Journal 33, n.º 3 (1 de enero de 1999): 55–66. http://dx.doi.org/10.4031/mtsj.33.3.7.
Texto completoChen, Shan-Tai, Shung-Lin Dou y Wann-Jin Chen. "A Data Mining Approach to Rainfall Intensity Classification Using TRMM/TMI Data". Journal of Advanced Computational Intelligence and Intelligent Informatics 12, n.º 6 (20 de noviembre de 2008): 516–22. http://dx.doi.org/10.20965/jaciii.2008.p0516.
Texto completoYi, Shuang y Kosuke Heki. "Heterogeneous oceanic mass distribution in GRACE observations and its leakage effect". Geophysical Journal International 221, n.º 1 (10 de enero de 2020): 603–16. http://dx.doi.org/10.1093/gji/ggaa022.
Texto completoSokolov, S. D., G. Ye Bondarenko, A. K. Khudoley, O. L. Morozov, M. V. Luchitskaya, M. I. Tuchkova y P. W. Layer. "Tectonic reconstruction of Uda-Murgal arc and the Late Jurassic and Early Cretaceous convergent margin of Northeast Asia–Northwest Pacific". Stephan Mueller Special Publication Series 4 (17 de septiembre de 2009): 273–88. http://dx.doi.org/10.5194/smsps-4-273-2009.
Texto completoPiontkovski, S. A., I. A. Minsky y Ya V. Meger. "LONG-TERM VARIABILITY OF OCEANIC ZOOPLANKTON BIOMASS". Водные биоресурсы и среда обитания 6, n.º 3 (2023): 52–65. http://dx.doi.org/10.47921/2619-1024_2023_6_3_52.
Texto completoBoev, Blažo, Vladica Cvetković, Dejan Prelević, Kristina Šarić y Ivan Boev. "EAST VARDAR OPHIOLITES REVISITED: A BRIEF SYNTHESIS OF GEOLOGY AND GEOCHEMICAL DATA". Contributions, Section of Natural, Mathematical and Biotechnical Sciences 39, n.º 1 (2 de julio de 2018): 51. http://dx.doi.org/10.20903/csnmbs.masa.2018.39.1.119.
Texto completoKotowski, Alissa J. y Whitney M. Behr. "Length scales and types of heterogeneities along the deep subduction interface: Insights from exhumed rocks on Syros Island, Greece". Geosphere 15, n.º 4 (24 de junio de 2019): 1038–65. http://dx.doi.org/10.1130/ges02037.1.
Texto completoSrivastava, Rohit y Ruchita Shah. "Study of Monsoonal Features Using Regional Climate Model over Heterogeneous Monsoon Dominated Region". E3S Web of Conferences 101 (2019): 03004. http://dx.doi.org/10.1051/e3sconf/201910103004.
Texto completoLücke, O. H. y I. G. Arroyo. "Density structure and geometry of the Costa Rican subduction zone from 3-D gravity modeling and local earthquake data". Solid Earth Discussions 7, n.º 3 (14 de julio de 2015): 1941–77. http://dx.doi.org/10.5194/sed-7-1941-2015.
Texto completoTesis sobre el tema "Heterogeneous oceanic data"
Zambra, Matteo. "Méthodes IA multimodales dans des contextes d’observation océanographique et de surveillance maritime multi-capteurs hétérogènes". Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0391.
Texto completoThe aim of this thesis is to study the simultaneous use of heterogeneous ocean datasets to improve the performance of predictive models used in scientific and operational fields for the simulation and analysis of the ocean and marine environment. Two distinct case studies were explored in the course of the thesis work. The first study focuses on the local estimation of wind speed at the sea surface from underwater soundscape measurements and atmospheric model products. The second study considers the spatial extension of the problem and the use of observations at different scales and spatial resolutions, from pseudo-observations simulating satellite images to time series measured by in-situ infrastructures. The recurring theme of these investigations is the multi-modality of the data fed into the model. That is, to what extent and how the predictive model can benefit from the use of spatio-temporally heterogeneous information channels. The preferred methodological tool is a simulation system based on variational data assimilation and deep learning concepts
Capítulos de libros sobre el tema "Heterogeneous oceanic data"
Sims, K. W. W., H. E. Newsom y E. S. Gladney. "Chemical Fractionation During Formation Of The Earth’s Core And Continental Crust: Clues From As, Sb, W, And Mo". En Origin of the Earth, 291–317. Oxford University PressNew York, NY, 1990. http://dx.doi.org/10.1093/oso/9780195066197.003.0017.
Texto completoAlegret, Laia, Gabriela J. Arreguín-Rodríguez y Ellen Thomas. "Oceanic productivity after the Cretaceous/Paleogene impact: Where do we stand? The view from the deep". En From the Guajira Desert to the Apennines, and from Mediterranean Microplates to the Mexican Killer Asteroid: Honoring the Career of Walter Alvarez. Geological Society of America, 2022. http://dx.doi.org/10.1130/2022.2557(21).
Texto completoVignudelli, Stefano y Francesco De Biasio. "Coastal Sea Level Trends from a Joint Use of Satellite Radar Altimetry, GPS and Tide Gauges: Case Study of the Northern Adriatic Sea". En Geodetic Sciences - Theory, Applications and Recent Developments. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98243.
Texto completoCaselli, Graziella y Sven Drefahl. "Future Mortality in Low Mortality Countries". En World Population & Human Capital in the Twenty-First Century. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198813422.003.0009.
Texto completoActas de conferencias sobre el tema "Heterogeneous oceanic data"
Pinto, Jose, Paulo Sousa Dias, Joao Borges Sousa y Fernando L. Pereira. "Large scale data collection using networks of heterogeneous vehicles and sensors". En OCEANS 2009-EUROPE (OCEANS). IEEE, 2009. http://dx.doi.org/10.1109/oceanse.2009.5278239.
Texto completoVanMiddlesworth, Mark. "A heterogeneous rapid-turnaround visualization package for AUV data". En OCEANS 2011 - SPAIN. IEEE, 2011. http://dx.doi.org/10.1109/oceans-spain.2011.6003655.
Texto completoRong, Tian, ChenXu Wang, QingHua Luo y YingChun Li. "Underwater shipwreck target detection based on audio-visual heterogeneous data". En OCEANS 2023 - Limerick. IEEE, 2023. http://dx.doi.org/10.1109/oceanslimerick52467.2023.10244537.
Texto completoCamossi, Elena, Raffaele Grasso, Gabriele Ferri, Alessandro Faggiani, Kevin LePage y Sandro Carniel. "Maritime Linked Data for Situational Awareness Heterogeneous Sensor Networks". En OCEANS 2021: San Diego – Porto. IEEE, 2021. http://dx.doi.org/10.23919/oceans44145.2021.9705759.
Texto completoFalchetti, Silvia, Alberto Alvarez y Reiner Onken. "A relocatable EnKF ocean data assimilation tool for heterogeneous observational networks". En OCEANS 2015 - Genova. IEEE, 2015. http://dx.doi.org/10.1109/oceans-genova.2015.7271359.
Texto completoZhou, Junwu, Hongchang He, Xiaolan Xie y Ke Xu. "Research on Multi-source Heterogeneous Ocean Data Integration System". En DSIT 2020: 2020 3rd International Conference on Data Science and Information Technology. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3414274.3414503.
Texto completoBagga, Pawandeep, Pradeep Shukla y Chandrajyoti Chitroda. "Optimizing Completion Through Real-Time High-Resolution Resistivity Imaging Tool for Fracture Mapping in Horizontal Wells". En Offshore Technology Conference Asia. OTC, 2024. http://dx.doi.org/10.4043/34858-ms.
Texto completoSato, Takumi, Kangsoo Kim, Masahiko Sasano, Akihiro Okamoto, Shogo Inaba, Satoshi Kondo, Hiroshi Matsumoto, Takashi Murashima, Toshifumi Fujiwara y Hiroyuki Osawa. "Sea Trials of Multiple Heterogenous Cruising AUVs and ASV With Basic Formation Control". En ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-103370.
Texto completoJing, Liu y Yue Lin. "Research on data interaction of multi-source heterogeneous information in ocean strategy environment". En 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA). IEEE, 2017. http://dx.doi.org/10.1109/icbda.2017.8078827.
Texto completoMyshkin, Vyacheslav F., Valery A. Khan, Dmitriy A. Izhoykin, Aygul K. Orazymbetova, Nyrzhamal A. Ospanovа, Aliya N. Kargulova, Vadim V. Dudorov, Denis L. Gamov, Vladimir N. Lensky y Evgeniya S. Abramova. "Reduction of data processing error of heterogeneous system laser sensing". En XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, editado por Oleg A. Romanovskii y Gennadii G. Matvienko. SPIE, 2018. http://dx.doi.org/10.1117/12.2506127.
Texto completoInformes sobre el tema "Heterogeneous oceanic data"
Sommer, Stefan, Sascha Flögel, Michael Walter y Frank Wenzhöfer. Autonomous Robotic Network to Resolve Coastal Oxygen Dynamics : Cruise No. AL547, 20.10. – 31.10.2020, Kiel – Kiel, ARCODYN. GEOMAR Helmholtz Centre for Ocean Research Kiel, 2022. http://dx.doi.org/10.3289/cr_al547.
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