Gotowe bibliografie tematyczne / Large data handling

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Large data handling”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Large data handling"

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Zupan, Jure. "Handling large amounts of chemical data." Mikrochimica Acta 89, no. 1-6 (1986): 243–60. http://dx.doi.org/10.1007/bf01207319.

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Hexemer, Alexander, Dula Parkinson, and Craig Tull. "Information Technology/Large-Scale Data Handling." Synchrotron Radiation News 28, no. 2 (2015): 2–3. http://dx.doi.org/10.1080/08940886.2015.1013412.

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Figueroa, S. J. A., and C. Prestipino. "PrestoPronto: a code devoted to handling large data sets." Journal of Physics: Conference Series 712 (May 2016): 012012. http://dx.doi.org/10.1088/1742-6596/712/1/012012.

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Henry, Antonia J., Nathanael D. Hevelone, Stuart Lipsitz, and Louis L. Nguyen. "Comparative methods for handling missing data in large databases." Journal of Vascular Surgery 58, no. 5 (2013): 1353–59. http://dx.doi.org/10.1016/j.jvs.2013.05.008.

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Samip, Raut, Jaiswal Kamlesh, Kale Vaibhav, Mote Akshay, Soudamini Pawar Ms., and Suvarna Kadam Mrs. "DATA DISTRIBUTION HANDLING ON CLOUD FOR DEPLOYMENT OF BIG DATA." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 6, no. 3 (2019): 15–22. https://doi.org/10.5281/zenodo.3558397.

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Cloud computing is a new emerging model in the field of computer science. For varying workload Cloud computing presents a large scale on demand infrastructure. The primary usage of clouds in practice is to process massive amounts of data. Processing large datasets has become crucial in research and business environments. The big challenges associated with processing large datasets is the vast infrastructure required. Cloud computing provides vast infrastructure to store and process Big data. Vms can be provisioned on demand in cloud to process the data by forming cluster of Vms . Map Reduce pa
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Chakradhar, Avinash Devarapalli. "Exploring Large Datasets: Techniques for Managing and Using Data Efficiently." European Journal of Advances in Engineering and Technology 6, no. 8 (2019): 51–55. https://doi.org/10.5281/zenodo.13253259.

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With the evolution of the digital world, more and more data is being generated which is making a commodity. Most of this data is still raw and not being utilized to date. In other words, only a limited amount of data is being utilized and there is a need for a proper system that allows interesting individuals and organizations to efficiently convert this data into meaningful form where insights can be generated. There are numerous challenges associated with the use of this data which mainly include, storage limitations, displaying data properly, scalability issues, security concerns, and perfo
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V. Patil, Dipak, and R. S. Bichkar. "An Optimistic Data Mining Approach for Handling Large Data Set using Data Partitioning Techniques." International Journal of Computer Applications 24, no. 3 (2011): 29–33. http://dx.doi.org/10.5120/2930-3878.

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Nguyen, Hung Son. "On Efficient Handling of Continuous Attributes in Large Data Bases." Fundamenta Informaticae 48, no. 1 (2001): 61–81. https://doi.org/10.3233/fun-2001-48105.

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Some data mining techniques, like discretization of continuous attributes or decision tree induction, are based on searching for an optimal partition of data with respect to some optimization criteria. We investigate the problem of searching for optimal binary partition of continuous attribute domain in case of large data sets stored in relational data bases (RDB). The critical for time complexity of algorithms solving this problem is the number of I/O database operations necessary to construct such partitions. In our approach the basic operators are defined by queries on the number of objects
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Sanchez, Luis, Yossi Mosbacher, Aaron Higuera, and Christopher Tunnell. "Handling Detector Characterization Data (Metadata) in XENONnT." EPJ Web of Conferences 295 (2024): 01033. http://dx.doi.org/10.1051/epjconf/202429501033.

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Effective metadata management is a consistent challenge faced by many scientific experiments. These challenges are magnified by the evolving needs of the experiment, the intricacies of seamlessly integrating a new system with existing analytical frameworks, and the crucial mandate to maintain database integrity. In this work we present the various challenges faced by experiments that produce a large amount of metadata and describe the solution used by the XENON experiment for metadata management.
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Richter, Matthias, Mikolaj Krzewicki, and Giulio Eulisse. "Data Handling In The Alice O2 Event Processing." EPJ Web of Conferences 214 (2019): 01035. http://dx.doi.org/10.1051/epjconf/201921401035.

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The ALICE experiment at the Large Hadron Collider (LHC) at CERN is planned to be operated in a continuous data-taking mode in Run 3. This will allow to inspect data from all Pb-Pb collisions at a rate of 50 kHz, giving access to rare physics signals embedded in a large background. Based on experience with real-time reconstruction of particle trajectories and event properties in the ALICE High Level Trigger, the ALICE O2 facility is currently designed and developed to support processing of a continuous, triggerless stream of data segmented into entities referred to as timeframes. Both raw data
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Rozprawy doktorskie na temat "Large data handling"

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Khailtash, Amal. "Handling large data storage in synthesis of multiple FPGA systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0007/MQ43653.pdf.

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Barry, Mariam. "Adaptive Scalable Online Learning for Handling Heterogeneous Streaming Data in Large-Scale Banking Infrastructure." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAT006.

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L'intelligence artificielle (IA) est une technique puissante pour créer de la valeur et améliorer la prise de décisions. Les volumes de données générés devraient connaître une croissance exponentielle, avec des projections dépassant les 2 000 zettaoctets d'ici 2035, soulignant l'importance de l'apprentissage incrémental et des modèles scalables pour le ”Big ` Data”. L'apprentissage et l'entraînement continus des modèles d'IA, connus sous le nom de Streaming ` Machine Learning (SML), sont des approches efficaces permettant de construire et de mettre à jour des modèles d'intelligence artificiell
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Varduhn, Vasco [Verfasser], Ernst [Akademischer Betreuer] Rank, and Hans-Joachim [Akademischer Betreuer] Bungartz. "A Parallel, Multi-Resolution Framework for Handling Large Sets of Complex Data, from Exploration and Visualisation to Simulation / Vasco Varduhn. Gutachter: Hans-Joachim Bungartz ; Ernst Rank. Betreuer: Ernst Rank." München : Universitätsbibliothek der TU München, 2014. http://d-nb.info/1052307833/34.

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Madhavaraj, A. "Strategies for Handling Large Vocabulary and Data Sparsity Problems for Tamil Speech Recognition." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4759.

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This thesis focuses on the design and development of every building block of a very large vocabulary, continuous speech recognition (LVCSR) system and various experiments conducted in order to enhance its performance. To our knowledge, this is the first report of development of such a full-fledged Tamil LVCSR system, since we could not find any journal or even refereed conference papers building a Tamil LVCSR system and reporting recognition results on large scale open-source speech recognition test datasets. A large read speech corpus of 217 hours has been collected and annotated at the
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Książki na temat "Large data handling"

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Large Scale Data Handling in Biology. Bookboon.com, 2013.

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Large Scale Data Handling in Biology. Bookboon.com, 2013.

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Large Scale Data Handling in Biology. Bookboon.com, 2013.

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Large Scale Data Handling in Biology. Bookboon.com, 2013.

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Large Scale Data Handling in Biology. Bookboon, 2013.

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Skeates, Robin. Prehistoric Figurines in Italy. Edited by Timothy Insoll. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199675616.013.038.

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An overview is provided of anthropomorphic figurines in peninsular Italy and Sicily between the Palaeolithic and Copper Age. Some updated patterns in the data and contextual interpretations of the production, use, and deposition of figurines are presented. For the Upper Palaeolithic and Mesolithic figurines, we can think about the performative nature of their manufacture, handling, inspection, and deposition at key residential sites, and about their symbolic significance as representations of pregnant women’s bodies. In the Neolithic and early Copper Age the focus shifts from the belly and bre
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Chałubińska-Jentkiewicz, Katarzyna, Mirosław Karpiuk, and Jarosław Kostrubiec. The Legal Status of Public Entities in the Field of Cybersecurity in Poland. Institute for Local Self-Government Maribor, 2021. http://dx.doi.org/10.4335/2021.5.

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This monograph provides an in-depth look at the organisation of the national cybersecurity system and the tasks and responsibilities of the entities operating within this system. The objective of the national cybersecurity system is to ensure cybersecurity at the national level, including the uninterrupted provision of essential services and digital services by achieving the appropriate level of security of the information systems used to provide these services and ensuring the handling of incidents. The EU legislators have been explicit in noting that the scale, frequency, and impact of cyber
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Części książek na temat "Large data handling"

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Spiess, Martin, and Thomas Augustin. "Handling missing data in large databases." In Handbook of Computational Social Science, Volume 2. Routledge, 2021. http://dx.doi.org/10.4324/9781003025245-7.

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Patel, Hiren. "Future Trends in Large Data Handling." In Advances in Information Security. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23585-1_5.

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Golfarelli, Matteo. "Handling Large Workloads by Profiling and Clustering." In Data Warehousing and Knowledge Discovery. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45228-7_22.

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Wiemann, Thomas, Marcel Mrozinski, Dominik Feldschnieders, Kai Lingemann, and Joachim Hertzberg. "Data Handling in Large-Scale Surface Reconstruction." In Intelligent Autonomous Systems 13. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08338-4_37.

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Yu, Hongbo. "A Space-Time GIS for Visualizing and Analyzing Clusters in Large Tracking Datasets." In Spatial Data Handling in Big Data Era. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4424-3_7.

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Strobel, Norbert, Chrisian Gosch, Jürgen Hesser, and Christoph Poliwoda. "Multiresolution Data Handling for Visualization of Very Large Data Sets." In Informatik aktuell. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-18993-7_22.

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Mattei, Janet Akyüz, and Elizabeth O. Waagen. "Data Handling in the AAVSO: An Example from a Large Organization of Amateur Astronomers." In Information Handling in Astronomy. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4345-5_16.

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Câmara, Gilberto, Lúbia Vinhas, Karine Reis Ferreira, et al. "TerraLib: An Open Source GIS Library for Large-Scale Environmental and Socio-Economic Applications." In Open Source Approaches in Spatial Data Handling. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-74831-1_12.

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Mishra, Deepti, and Garima Khandelwal. "Command-Line Tools in Linux for Handling Large Data Files." In Bioinformatics: Sequences, Structures, Phylogeny. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1562-6_17.

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Chang, Jae-Woo. "An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data." In Advances in Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36175-8_29.

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Streszczenia konferencji na temat "Large data handling"

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Tanveer, Aisha, Noraini Binti Ibrahim, Muhammad Zubair Rehman, and Nazri Mohd Nawi. "A Framework for Handling Scalability in Requirements Prioritization Using IMPA Algorithm for Large Scale Projects." In 2024 2nd International Conference on Computing and Data Analytics (ICCDA). IEEE, 2024. https://doi.org/10.1109/iccda64887.2024.10867359.

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Agrawal, Shivansh, Kyle Collins, Patric Hruswicki, and Syed Zuhair. "Handling Qualities Analysis of a Large Multi-Rotor eVTOL using RPM, Collective and Cyclic Control Allocation Methods." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1299.

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The Eagle Flight Research Center (EFRC) at Embry-Riddle Aeronautical University (ERAU) is investigating the handling qualities of partial and full rotor failure modes of a multi-rotor vehicle testbed employing Distributed Electric Propulsion (DEP) systems intended for Advanced Air Mobility (AAM) vehicles. In order to pave the way for commercial operations, the AAM industry requires a deeper understanding of the handling characteristics and the vehicle's dynamics and controllability under rotor failure conditions. The objective of the research performed at the EFRC centered around designing and
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Bachelder, Ed, Eileen Bjorkman, and Bimal Aponso. "PIO and Handling Qualities Prediction Using the USAFTPS Bjorkman PIO Data Set." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1097.

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A key objective of this work was to develop a quantitative rationale to explains some aspects of pilot rating variability, as this would point to the fundamental principles driving pilot response that may not be observable if averaged ratings are used as a handling qualities metric. This paper hypothesizes that the factors affecting a pilot's ability to stabilize and control an aircraft following abrupt control motion is neither the damping nor the frequency of the ensuing oscillation, but rather the length of time that the oscillation remains large enough to interfere with the task (i.e., the
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Knapp, Marit, Christina Ivler, Marcos Berrios, Tom Berger, and Mark Tischler. "Kalman Filter Estimation of Rotor-State Flapping: An Optimization-based Approach with UH-60 Flight Test Data." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12185.

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Flight testing of explicit rotor-state feedback (RSF) fly-by-wire control laws showed that measuring rotor tip-path-plane (TPP) flapping, via a laser measurement system, provided additional lead to the control system. This resulted in superior handling qualities in turbulence and heavy winds and improved stability margins. However, a significant impediment to the adoption of explicitly measured RSF has been the difficulty in extracting reliable rotor measurements. Therefore, this paper describes the development of a Kalman filter that was designed to estimate rotor TPP coordinates, and remove
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Bukhamsin, A. A. "Field Evaluation of Cathodic Protection Remote Monitoring Systems at Oil Facilities." In CORROSION 2009. NACE International, 2009. https://doi.org/10.5006/c2009-09542.

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Abstract In recent years the Middle East oil industry has seen tremendous growth in oil producing and handling facilities, matched by an increased number of Cathodic Protection installations. The monitoring of large numbers of new CP systems presents special challenges to CP operators and with Remote Monitoring System, these challenges can be overcome. This paper discussed the advantages of having RMS to remotely monitor the CP system and have readily available data for CP reports and system evaluation.
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Patel, Falguni N. "Large high dimensional data handling using data reduction." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7754940.

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Jain, Sumit, and Rajesh K. Shukla. "Handling Large Data Load using Bulk Copy Program." In the 2014 International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2677855.2677940.

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Kia, Omid E., Alexandre Schaff, and Jaakko J. Sauvola. "Data representation and handling for large image browsing." In Photonics East (ISAM, VVDC, IEMB), edited by C. C. Jay Kuo, Shih-Fu Chang, and Sethuraman Panchanathan. SPIE, 1998. http://dx.doi.org/10.1117/12.325836.

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Hasan, K. M. Azharul, Kamrul Islam, Mojahidul Islam, and Tatsuo Tsuji. "An extendible data structure for handling large multidimensional data sets." In 2009 12th International Conference on Computer and Information Technology (ICCIT). IEEE, 2009. http://dx.doi.org/10.1109/iccit.2009.5407319.

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Morganti, Lucia, Alessandro Cavalli, Antonio Falabella, et al. "Large Scale Data Handling experience at INFN-CNAF Data Center." In 41st International Conference on High Energy physics. Sissa Medialab, 2022. http://dx.doi.org/10.22323/1.414.0205.

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Raporty organizacyjne na temat "Large data handling"

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Rochester, Leon S. Gamma Ray Large Area Space Telescope (GLAST) Balloon Flight Data Handling Overview. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/801819.

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Dempsey, Terri L. Handling the Qualitative Side of Mixed Methods Research: A Multisite, Team-Based High School Education Evaluation Study. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.mr.0039.1809.

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Attention to mixed methods studies research has increased in recent years, particularly among funding agencies that increasingly require a mixed methods approach for program evaluation. At the same time, researchers operating within large-scale, rapid-turnaround research projects are faced with the reality that collection and analysis of large amounts of qualitative data typically require an intense amount of project resources and time. However, practical examples of efficiently collecting and handling high-quality qualitative data within these studies are limited. More examples are also neede
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Huang, Lei, Meng Song, Hui Shen, et al. Deep learning methods for omics data imputation. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48221.

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One common problem in omics data analysis is missing values, which can arise due to various reasons, such as poor tissue quality and insufficient sample volumes. Instead of discarding missing values and related data, imputation approaches offer an alternative means of handling missing data. However, the imputation of missing omics data is a non-trivial task. Difficulties mainly come from high dimensionality, non-linear or nonmonotonic relationships within features, technical variations introduced by sampling methods, sample heterogeneity, and the non-random missingness mechanism. Several advan
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Bhakta, Tuhin, Jarle Haukås, Rolf Johan Lorentzen, Xiaodong Luo, and Geir Nævdal. Workflow for adding 4D seismic data in history matching. University of Stavanger, 2021. http://dx.doi.org/10.31265/usps.204.

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In this document we present a workflow for ensemble-based 4D seismic history matching. Ensemble-based history matching has become standard for production data, but 4D seismic data poses a number of additional challenges. One issue is that the amount of data is considerably larger, but another, probably more complicating factor is that for utilizing the seismic data, either the seismic data must be inverted to properties that is included in the reservoir simulation model, or a seismic response must be modeled, given the current estimate of the reservoir properties. This leads to a number of cho
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Ricker, Richard E. DTRS56-04-X-0025 Pipeline Steel Corrosion Data from NBS Studies 1922-1940. Pipeline Research Council International, Inc. (PRCI), 2007. http://dx.doi.org/10.55274/r0011874.

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Between 1911 and 1984, the National Bureau of Standards (NBS) conducted a large number of corrosion studies that included the measurement of corrosion damage to samples exposed to real-world environments. One of these studies was an investigation conducted between 1922 and 1940 into the corrosion of bare steel and wrought iron pipes buried underground at 47 different sites representing different soil types across the United States. At the start of this study, very little was known about the corrosion of ferrous alloys underground. The objectives of this study were to determine (i) if coatings
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Graziano, Alejandro, Georg Schaur, Christian Volpe Martincus, and Jerónimo Carballo. The Heterogeneous Cost of Port-of-Entry Delays. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0006986.

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Time delays in international transactions impose trade costs. We examine transaction level Peruvian import data to show that firms are subject to significant costs of port-of-entry delays. At the airport an additional day of delay raises costs by about 1.6 percent for all firms. At the seaport, an additional day of delay raises costs for small firms by about 0.7 percent and by 0.9 percent for large firms. The higher costs at the airport are partially offset by a clearance time that is on average about 5 days faster than at the seaport. These estimates inform policy where limited public resourc
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McDonald, Jacob, M. Gregory, Jeffrey Riley, Eric Starkey, and Wendy Thorsdatter. Monitoring wadeable stream habitat conditions in Southeast Coast Network parks: Protocol narrative. National Park Service, 2018. https://doi.org/10.36967/2254874.

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The Southeast Coast Network (SECN) has initiated a monitoring effort to assess habitat conditions in wadeable streams at national parks, recreation areas, battlefields, and monuments in Alabama, Georgia, and South Carolina. This monitoring effort includes Chattahoochee River National Recreation Area, Kennesaw Mountain National Battlefield Park, Congaree National Park, Horseshoe Bend National Military Park, and Ocmulgee National Monument. Stream habitat monitoring was implemented in 2016, and focuses specifically on providing relevant data to assess the physical condition of Piedmont and upper
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Di Campli San Vito, Patrizia, Stephen Brewster, Satvik Venkatesh, et al. RadioMe: Supporting Individuals with Dementia in Their Own Home... and Beyond? CHI '22 Workshop - Designing Ecosystems for Complex Health Needs, 2022. http://dx.doi.org/10.36399/gla.pubs.267520.

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Dementia is an illness with complex health needs, varying between individuals and increasing in severity over time. Approaches to use technology to aid people with dementia are often designed for a specific environment and/or purpose, such as the RadioMe system, a system designed to detect agitation in people with mild dementia living in their own home and calming them with music when agitation is detected. Both the monitoring and intervention components could potentially be beneficially used outside of the own home to aid people with dementia and carers in everyday life. But the adaptation co
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Pepin, Kay, ed. MR Elastography of the Liver, Clinically Feasible Profile. Chair Richard Ehman and Patricia Cole. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2023. http://dx.doi.org/10.1148/qiba/20231107.

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The goal of a QIBA Profile is to help achieve a useful level of performance for a given biomarker. The Claim (Section 2) describes the biomarker performance. The Activities (Section 3) contribute to generating the biomarker. Requirements are placed on the Actors that participate in those activities as necessary to achieve the Claim. Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed. This QIBA Profile (Magnetic Resonance Elastography of the Liver) addresses the application of Magnetic Resonance Elastography (MRE) for the quantification of liver stiffne
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Baron, Lisa, William Vervaeke, and M. Gregory. Monitoring coastal wetland elevation in Southeast Coast Network parks: Protocol implementation plan. National Park Service, 2023. http://dx.doi.org/10.36967/2301244.

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The National Park Service (NPS) Inventory and Monitoring Division has initiated coastal wetland elevation monitoring at or in the vicinity of Cape Hatteras National Seashore (CAHA), Cape Lookout National Seashore (CALO), Fort Pulaski National Monument (FOPU), Fort Frederica National Monument (FOFR), Cumberland Island National Seashore (CUIS), Timucuan Ecological and Historic Preserve (TIMU), Fort Matanzas National Monument (FOMA), and Canaveral National Seashore (CANA). This protocol implementation plan is based on the Northeast Coastal and Barrier Network protocol, The Surface Elevation Table
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