Literatura académica sobre el tema "Cloud analysi"
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Artículos de revistas sobre el tema "Cloud analysi"
Coakley, James A., Michael A. Friedman y William R. Tahnk. "Retrieval of Cloud Properties for Partly Cloudy Imager Pixels". Journal of Atmospheric and Oceanic Technology 22, n.º 1 (1 de enero de 2005): 3–17. http://dx.doi.org/10.1175/jtech-1681.1.
Texto completoStubenrauch, C. J., S. Cros, A. Guignard y N. Lamquin. "A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat". Atmospheric Chemistry and Physics Discussions 10, n.º 3 (30 de marzo de 2010): 8247–96. http://dx.doi.org/10.5194/acpd-10-8247-2010.
Texto completoStubenrauch, C. J., S. Cros, A. Guignard y N. Lamquin. "A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat". Atmospheric Chemistry and Physics 10, n.º 15 (6 de agosto de 2010): 7197–214. http://dx.doi.org/10.5194/acp-10-7197-2010.
Texto completoXia, Shuang, Alberto Mestas-Nuñez, Hongjie Xie, Jiakui Tang y Rolando Vega. "Characterizing Variability of Solar Irradiance in San Antonio, Texas Using Satellite Observations of Cloudiness". Remote Sensing 10, n.º 12 (12 de diciembre de 2018): 2016. http://dx.doi.org/10.3390/rs10122016.
Texto completoWang, P., M. Allaart, W. H. Knap y P. Stammes. "Analysis of actinic flux profiles measured from an ozonesonde balloon". Atmospheric Chemistry and Physics 15, n.º 8 (21 de abril de 2015): 4131–44. http://dx.doi.org/10.5194/acp-15-4131-2015.
Texto completoWang, P., M. Allaart, W. H. Knap y P. Stammes. "Analysis of actinic flux profiles measured from an ozone sonde balloon". Atmospheric Chemistry and Physics Discussions 14, n.º 22 (10 de diciembre de 2014): 31169–201. http://dx.doi.org/10.5194/acpd-14-31169-2014.
Texto completoMieslinger, Theresa, Bjorn Stevens, Tobias Kölling, Manfred Brath, Martin Wirth y Stefan A. Buehler. "Optically thin clouds in the trades". Atmospheric Chemistry and Physics 22, n.º 10 (30 de mayo de 2022): 6879–98. http://dx.doi.org/10.5194/acp-22-6879-2022.
Texto completoVárnai, Tamás y Alexander Marshak. "Analysis of Near-Cloud Changes in Atmospheric Aerosols Using Satellite Observations and Global Model Simulations". Remote Sensing 13, n.º 6 (17 de marzo de 2021): 1151. http://dx.doi.org/10.3390/rs13061151.
Texto completoYasunaga, Kazuaki, Kunio Yoneyama, Hisayuki Kubota, Hajime Okamoto, Atsushi Shimizu, Hiroshi Kumagai, Masaki Katsumata, Nobuo Sugimoto y Ichiro Matsui. "Melting Layer Cloud Observed during R/V Mirai Cruise MR01-K05". Journal of the Atmospheric Sciences 63, n.º 11 (1 de noviembre de 2006): 3020–32. http://dx.doi.org/10.1175/jas3779.1.
Texto completoLin, L., X. Zou, R. Anthes y Y.-H. Kuo. "COSMIC GPS Radio Occultation Temperature Profiles in Clouds". Monthly Weather Review 138, n.º 4 (1 de abril de 2010): 1104–18. http://dx.doi.org/10.1175/2009mwr2986.1.
Texto completoTesis sobre el tema "Cloud analysi"
Szczodrak, Malgorzata. "Variability of cloud optical depth and cloud droplet effective radius in layer clouds : satellite based analysis". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0019/NQ27255.pdf.
Texto completoBrösamlen, Gerd. "Radiative transfer in lognormal multifractal clouds and analysis of cloud liquid water data". Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68158.
Texto completoWilliams, Robyn D. "Studies of Mixed-Phase Cloud Microphysics Using An In-Situ Unmanned Aerial Vehicle (UAV) Platform". Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7252.
Texto completoSelf, Lance. "Development and Analysis Cloud". International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605938.
Texto completoThe development and analysis cloud is a rapid development system being designed to support the Air Force Research Lab (AFRL) Simulation & Technology Assessment Branch. The purpose is to isolate research, development, test, and evaluation of unique software within a Zone D enclave [1] to allow researchers and analysts to develop and test software free of the many IT requirements that hamper development and without risk of contaminating the overall Air Force network. The cloud system is being designed so researchers and analysts will utilize Software as a Service (SaaS) models. Such a model makes it transparent to users such things as where the software originates and any licensing concerns. Utilities, tools, and other enhancing software that users need are published and using them frees the developer to focus on their specific development efforts versus tertiary development modules.
CENCI, ANNALISA. "An infrastructure for decision-making to support neonatal clinical care and research". Doctoral thesis, Università Politecnica delle Marche, 2018. http://hdl.handle.net/11566/253144.
Texto completoPreterm infants’ cribs in Neonatal Intensive Care Unit (NICU) of “Women’s and Children’s Hospital G. Salesi” of Ancona are surrounded by many devices for the monitoring, diagnosis and treatment of diseases, which provide a huge amount of data that, until now, was only displayed on monitors and periodically transcribed in a paper medical record. Then manual notes were regularly, but not immediately, transcribed in an electronic sheet on a NICU PC with the risk of errors and forgetfulnesses. In this context, physicians have expressed the need to automatically gather data from all these devices to ensure that no key details for patient care were overlooked, as they are aware that the automation of this process could improve the implementation of the procedures of their daily clinical practice. The objective of this thesis is to allow the interfacing of NICU biomedical instruments into a single cloud-based infrastructure that enables the communication between different medical devices and a unique DB. The proposed architecture permits the automation of the process of device data collection, transmission, storage, processing and availability for medical staff, that is guaranteed through the implementation of a web interface that exceeds the functionalities of a simple Electronic Medical Record, thanks to the development of innovative clinical tools. They contain data extraction and analysis techniques and decision-making algorithms, which provide in output advices, reminders, alarms, and indicators that can support physicians in predicting and diagnosing diseases, such as neonatal jaundice or motor disabilities, in monitoring physiological parameters, such as respiratory rate and growth parameters, and in making decisions about clinical problems, such as daily nutritional intakes and follow-ups. All the solutions described above have been validated through experiments conducted in the NICU under the supervision of the physicians and the Head Physician.
Pettegrew, Brian P. "Analysis of cloud and cloud-to-ground lightning in winter convection". Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5586.
Texto completoThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on June 15, 2009) Vita. Includes bibliographical references.
Larson, Bridger Ronald. "Selecting Cloud Platform Services Based On Application Requirements". BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6129.
Texto completoBrück, Heiner Matthias. "Evaluation of statistical cloud parameterizations". Doctoral thesis, Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-212714.
Texto completoKanmantha, Reddy Pruthvi Raj Reddy. "Comparative Analysis of Virtual Desktops in Cloud : Performance comparison of OpenStack Private Cloud and AWS Public cloud". Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10840.
Texto completoGordon, Neil D. "Cluster analysis of cloud properties a method for diagnosing cloud-climate feedbacks /". Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3296823.
Texto completoTitle from first page of PDF file (viewed Mar. 24, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 108-112).
Libros sobre el tema "Cloud analysi"
Berger, Franz Herbert. Die Bestimmung des Einflusses von hohen Wolken auf das Strahlungsfeld und auf das Klima durch Analyse von NOAA AVHRR-Daten: (DK551.501.776 ...). Berlin: D. Reimer, 1992.
Buscar texto completoLiu, Shan, Min Zhang, Pranav Kadam y C. C. Jay Kuo. 3D Point Cloud Analysis. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89180-0.
Texto completoPoellot, Michael R. Preliminary analysis of University of North Dakota aircraft data from the FIRE cirrus ITO-II: Final report. [Washington, DC: National Aeronautics and Space Administration, 1995.
Buscar texto completoPoellot, Michael R. Preliminary analysis of University of North Dakota aircraft data from the FIRE cirrus ITO-II: Semi-annual status report for the period October 15, 1992 to April 14, 1993. Grand Forks, N.D: Dept. of Atmospheric Sciences, University of North Dakota, 1993.
Buscar texto completoR, Jeffries W. y United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. A new NASA-MSFC mission analysis global cloud cover data base. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.
Buscar texto completoHanbury, Allan, Henning Müller y Georg Langs, eds. Cloud-Based Benchmarking of Medical Image Analysis. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49644-3.
Texto completoWash, Carlyle H. Satellite cloud and precipitation analysis using a minicomputer. Monterey, Calif: Naval Postgraduate School, 1985.
Buscar texto completoMorehead, Steven Emory. Ship track cloud analysis for the North Pacific. Monterey, Calif: Naval Postgraduate School, 1988.
Buscar texto completoMineart, Gary M. Multispectral satellite analysis of marine stratocumulus cloud microphysics. Monterey, Calif: Naval Postgraduate School, 1988.
Buscar texto completoGiedke, Anna. Cloud Computing: Eine wirtschaftsrechtliche Analyse mit besonderer Berücksichtigung des Urheberrechts. München: Utz, 2013.
Buscar texto completoCapítulos de libros sobre el tema "Cloud analysi"
Bermbach, David, Erik Wittern y Stefan Tai. "Data Analysis". En Cloud Service Benchmarking, 123–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55483-9_12.
Texto completoAntu, Antara Debnath, Anup Kumar, Robert Kelley y Bin Xie. "Comparative Analysis of Cloud Storage Options for Diverse Application Requirements". En Cloud Computing – CLOUD 2021, 75–96. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2_6.
Texto completoZhang, Yonghe, Kejiang Ye y Cheng-Zhong Xu. "An Experimental Analysis of Function Performance with Resource Allocation on Serverless Platform". En Cloud Computing – CLOUD 2021, 17–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2_2.
Texto completoSabharwal, Navin y Prashant Wali. "Capacity Analysis, Tuning, and Review". En Cloud Capacity Management, 109–22. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4924-5_12.
Texto completoTai, Stefan y David Bermbach. "Cloud Computing". En Encyclopedia of Social Network Analysis and Mining, 1–6. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_105-1.
Texto completoTai, Stefan y David Bermbach. "Cloud Computing". En Encyclopedia of Social Network Analysis and Mining, 94–100. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_105.
Texto completoTai, Stefan y David Bermbach. "Cloud Computing". En Encyclopedia of Social Network Analysis and Mining, 200–205. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_105.
Texto completoOstermann, Simon, Alexandria Iosup, Nezih Yigitbasi, Radu Prodan, Thomas Fahringer y Dick Epema. "A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing". En Cloud Computing, 115–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12636-9_9.
Texto completoLi, Xiaofan y Shouting Gao. "Cloud Radiative Effects". En Precipitation Modeling and Quantitative Analysis, 175–207. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2381-8_7.
Texto completoLiu, Shan, Min Zhang, Pranav Kadam y C. C. Jay Kuo. "Deep Learning-Based Point Cloud Analysis". En 3D Point Cloud Analysis, 53–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89180-0_3.
Texto completoActas de conferencias sobre el tema "Cloud analysi"
Munhoz, Vanderlei y Márcio Castro. "HPC@Cloud: A Provider-Agnostic Software Framework for Enabling HPC in Public Cloud Platforms". En Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/wscad.2022.226528.
Texto completoOu, S. C., K. N. Liou, W. Gooch, N. Rao y Y. Takano. "Remote Sensing of Cirrus Cloud Parameters Using AVHRR 3.7 and 10.9 μm Channel Data". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.mc.4.
Texto completoManolescu, Alexandru, Adriana Fota y Gheorghe Oancea. "Recognizing Algorithm for Digitized Rotational Parts". En ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82334.
Texto completoLu, Jia y Jing Qian. "Discrete Stress Analysis on Point-Cloud Model Derived From Medical Images". En ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206209.
Texto completoPsimoulis, Panos, Ali Algadhi, Athina Grizi y Luis Neves. "Assessment of accuracy and performance of terrestrial laser scanner in monitoring of retaining walls". En 5th Joint International Symposium on Deformation Monitoring. Valencia: Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13917.
Texto completoAlbeanu, Grigore y Florin Popentiu vladicescu. "CLOUD-BASED E-LEARNING TOOLS FOR DATA ANALYSIS". En eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-092.
Texto completoGieray, R. y P. H. Wieser. "A Study of Aerosol-Cloud Interaction using Laser Microprobe Mass Analysis". En Laser Applications to Chemical and Environmental Analysis. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/lacea.1996.ltha.3.
Texto completoŞaykol, Ediz y Ayşe Seçil Avcı. "Pivotal Points in Utilizing Cloud Services in Turkey". En International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01252.
Texto completoFlesia, Cristina y Andrei V. Starkov. "Effects of the Inhomogeneity of the Atmosphere on the Multiple Scattering in Lidar Sounding from Space". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.ma4.
Texto completoSato, Keiichi, Naoya Takahashi y Yasuhiro Sugimoto. "Effects of Diffuser Length on Cloud Cavitation in an Axisymmetrical Convergent-Divergent Nozzle". En ASME/JSME/KSME 2015 Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ajkfluids2015-05507.
Texto completoInformes sobre el tema "Cloud analysi"
Shyshkina, Mariya P. Сервісні моделі формування хмаро орієнтованого середовища вищого навчального закладу. [б. в.], agosto de 2018. http://dx.doi.org/10.31812/0564/2449.
Texto completoBerney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman y John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), abril de 2021. http://dx.doi.org/10.21079/11681/40401.
Texto completoHamil, Thomas M. y Ross Hoffman. SERCAA Cloud Analysis Integration: Design Concepts and Interaction with Cloud Forecast Models. Fort Belvoir, VA: Defense Technical Information Center, abril de 1993. http://dx.doi.org/10.21236/ada269104.
Texto completoOleksiuk, Vasyl P., Olesia R. Oleksiuk, Oleg M. Spirin, Nadiia R. Balyk y Yaroslav P. Vasylenko. Some experience in maintenance of an academic cloud. [б. в.], junio de 2021. http://dx.doi.org/10.31812/123456789/4436.
Texto completoHeifets, Samuel A. Qualitative analysis of the e-cloud formation. Office of Scientific and Technical Information (OSTI), enero de 2002. http://dx.doi.org/10.2172/798963.
Texto completoGustafson, Gary B., Ronald G. Isaacs, Jeanne M. Sparrow, Daniel C. Peduzzi y James S. Belfiore. Automated Satellite Cloud Analysis - Tactical Nephanalysis (TACNEPH). Fort Belvoir, VA: Defense Technical Information Center, noviembre de 1994. http://dx.doi.org/10.21236/ada320375.
Texto completoBerney, Ernest, Andrew Ward y Naveen Ganesh. First generation automated assessment of airfield damage using LiDAR point clouds. Engineer Research and Development Center (U.S.), marzo de 2021. http://dx.doi.org/10.21079/11681/40042.
Texto completoVolikova, Maryna M., Tetiana S. Armash, Yuliia V. Yechkalo y Vladimir I. Zaselskiy. Practical use of cloud services for organization of future specialists professional training. [б. в.], septiembre de 2019. http://dx.doi.org/10.31812/123456789/3269.
Texto completoMarkova, Oksana M., Serhiy O. Semerikov, Andrii M. Striuk, Hanna M. Shalatska, Pavlo P. Nechypurenko y Vitaliy V. Tron. Implementation of cloud service models in training of future information technology specialists. [б. в.], septiembre de 2019. http://dx.doi.org/10.31812/123456789/3270.
Texto completoMarkova, Oksana M. Засоби хмарних технологій навчання основ математичної інформатики студентів технічних університетів. [б. в.], agosto de 2018. http://dx.doi.org/10.31812/0564/2453.
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