Relevant bibliographies by topics / Data-driven applications

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data-driven applications'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2023

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Journal articles on the topic "Data-driven applications"

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Rao, K. Venkateswara. "Spatiotemporal Database Schema for Data Driven Applications in Smart Agriculture." Indian Journal Of Science And Technology 16, no. 1 (2023): 12–22. http://dx.doi.org/10.17485/ijst/v16i1.1687.

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Brzostowski, Krzysztof, Jaroslaw Drapala, and Jerzy Swiatek. "Data-Driven Models for eHealth Applications." International Journal of Computer Science and Artificial Intelligence 3, no. 1 (2013): 1–9. http://dx.doi.org/10.5963/ijcsai0301001.

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Kamath, Chandrika. "Application-Driven Data Analysis." Statistical Analysis and Data Mining 1, no. 5 (2009): 285. http://dx.doi.org/10.1002/sam.10023.

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Poonia, Ramesh Chandra, and Santosh R. Durugkar. "Sampling Techniques Used in Big-Data Driven Applications." Journal of Intelligent Systems and Computing 2, no. 1 (2021): 17–20. http://dx.doi.org/10.51682/jiscom.00201004.2021.

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Data-driven systems process the data from various sources in multiple applications. Data retrieved from heterogeneous sources need to be available in an aggregate and unique format. This requirement gives rise to the process of the Big-data and proposed next-generation big-data processing systems. There are many applications based on contextual data useful for identifying the traffic intensity, changing users per application, weather conditions etc., and serve as next- generation business-specific systems. In such systems data abstraction and representation are the important tasks & granul
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Dannana, Suresh, Govinda Rao Tamminaina, and A. R. V. Satheesh Kumar. "Data Driven Data Encoding for Low Power LDPC Applications." International Journal of Signal Processing, Image Processing and Pattern Recognition 8, no. 10 (2015): 375–88. http://dx.doi.org/10.14257/ijsip.2015.8.10.37.

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Schadd, Maarten, Nico de Reus, Sander Uilkema, and Jeroen Voogd. "Data-driven behavioural modelling for military applications." Journal of Defence & Security Technologies 4, no. 1 (2022): 12–36. http://dx.doi.org/10.46713/jdst.004.02.

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This article investigates the possibilities for creating behavioural models of military decision making in a data-driven manner. As not much data from actual operations is available, and data cannot easily be created in the military context, most approaches use simulators to learn behaviour. A simulator is however not always available or is difficult to create. This study focusses on the creation of behavioural models from data that was collected during a field exercise. As data in general is limited, noisy and erroneous, this makes the creation of realistic models challenging. Besides using t
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Dabbara, Rekha, M. Chandrakumar, V. Anandhi, and D. Muruganandhi. "Data Driven Marketing Applications for Agriculture Services." International Journal of Current Microbiology and Applied Sciences 9, no. 2 (2020): 2914–20. http://dx.doi.org/10.20546/ijcmas.2020.902.331.

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Jr., Josip Vrbanek, and Wilson Wang. "Data-Driven Forecasting Schemes: Evaluation and Applications." Journal of Computer Science 3, no. 9 (2007): 747–53. http://dx.doi.org/10.3844/jcssp.2007.747.753.

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Yang, Fan, Nitin Gupta, Chavdar Botev, Elizabeth F. Churchill, George Levchenko, and Jayavel Shanmugasundaram. "WYSIWYG development of data driven web applications." Proceedings of the VLDB Endowment 1, no. 1 (2008): 163–75. http://dx.doi.org/10.14778/1453856.1453879.

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Kolios, Panayiotis, Christos Panayiotou, Georgios Ellinas, and Marios Polycarpou. "Data-Driven Event Triggering for IoT Applications." IEEE Internet of Things Journal 3, no. 6 (2016): 1146–58. http://dx.doi.org/10.1109/jiot.2016.2564428.

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Dissertations / Theses on the topic "Data-driven applications"

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Chiu, Wai Man Raymond. "Interactive data-driven Web applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq24107.pdf.

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Wirén, Oskar. "Data Driven Development for Mobile Applications." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-207616.

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The purpose of this thesis was to examine the suitability of applying data driven concepts developed for the web on mobile application development. This was done in order to give an overview of what is needed for a company to work with a data driven approach when developing mobile applications. A literature study was performed in order to investigate the state of the industry. This study gave background information about the relevant aspects of being data driven. To give the report a closer connection to Valtech, the company for which this thesis was developed, interviews were performed with c
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Zhang, Kaijin ZHANG. "Efficiency and security in data-driven applications." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1522443817978176.

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Bjarnadóttir, Margrét Vilborg. "Data-driven approach to health care : applications using claims data." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45946.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2008.<br>Includes bibliographical references (p. 123-130).<br>Large population health insurance claims databases together with operations research and data mining methods have the potential of significantly impacting health care management. In this thesis we research how claims data can be utilized in three important areas of health care and medicine and apply our methods to a real claims database containing information of over two million health plan members. First, we develop forec
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Kis, Filip. "Prototyping with Data : Opportunistic Development of Data-Driven Interactive Applications." Doctoral thesis, KTH, Medieteknik och interaktionsdesign, MID, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-196851.

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There is a growing amount of digital information available from Open-Data initiatives, Internet-of-Things technologies, and web APIs in general. At the same time, an increasing amount of technology in our lives is creating a desire to take advantage of the generated data for personal or professional interests. Building interactive applications that would address this desire is challenging since it requires advanced engineering skills that are normally reserved for professional software developers. However, more and more interactive applications are prototyped outside of enterprise environments
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Jones, Anthony Andrew. "Combining data driven programming with component based software development : with applications in geovisualisation and dynamic data driven application systems." Thesis, Aston University, 2008. http://publications.aston.ac.uk/10682/.

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Software development methodologies are becoming increasingly abstract, progressing from low level assembly and implementation languages such as C and Ada, to component based approaches that can be used to assemble applications using technologies such as JavaBeans and the .NET framework. Meanwhile, model driven approaches emphasise the role of higher level models and notations, and embody a process of automatically deriving lower level representations and concrete software implementations.
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Fenacci, Damon. "Compiler-driven data layout transformations for network applications." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6210.

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This work approaches the little studied topic of compiler optimisations directed to network applications. It starts by investigating if there exist any fundamental differences between application domains that justify the development and tuning of domain-specific compiler optimisations. It shows an automated approach that is capable of identifying domain-specific workload characterisations and presenting them in a readily interpretable format based on decision trees. The generated workload profiles summarise key resource utilisation issues and enable compiler engineers to address the highlighte
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Chang, Kerry Shih-Ping. "A Spreadsheet Model for Using Web Services and Creating Data-Driven Applications." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/769.

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Web services have made many kinds of data and computing services available. However, to use web services often requires significant programming efforts and thus limits the people who can take advantage of them to only a small group of skilled programmers. In this dissertation, I will present a tool called Gneiss that extends the spreadsheet model to support four challenging aspects of using web services: programming two-way data communications with web services, creating interactive GUI applications that use web data sources, using hierarchical data, and using live streaming data. Gneiss contr
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Sui, Liying. "Specification and verification of interactive data-driven web applications." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3212020.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed July 11, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 136-140).
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Sezer, Osman Gokhan. "Data-driven transform optimization for next generation multimedia applications." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42765.

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The objective of this thesis is to formulate a generic dictionary learning method with the guiding principle that states: Efficient representations lead to efficient estimations. The fundamental idea behind using transforms or dictionaries for signal representation is to exploit the regularity within data samples such that the redundancy of the representation is minimized subject to a level of fidelity. This observation translates to rate-distortion cost in compression literature, where a transform that has the lowest rate-distortion cost provides a more efficient representation than the other
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Books on the topic "Data-driven applications"

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Darema, Frederica, Erik Blasch, Sai Ravela, and Alex Aved, eds. Dynamic Data Driven Applications Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61725-7.

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Mack, Donny. Programming data-driven Web applications with ASP.NET. Sams, 2002.

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Mack, Donny. Programming data-driven Web applications with ASP.NET. Sams, 2002.

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Bansal, Jagdish Chand, Lance C. C. Fung, Milan Simic, and Ankush Ghosh, eds. Advances in Applications of Data-Driven Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6919-1.

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Blasch, Erik P., Frederica Darema, Sai Ravela, and Alex J. Aved, eds. Handbook of Dynamic Data Driven Applications Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74568-4.

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Blasch, Erik, Sai Ravela, and Alex Aved, eds. Handbook of Dynamic Data Driven Applications Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95504-9.

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Li, Weidong, Yuchen Liang, and Sheng Wang, eds. Data Driven Smart Manufacturing Technologies and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66849-5.

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Doug, Seven, ed. Programming data-driven Web applications with ASP.NET. Sams, 2002.

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Zhao, Jun, Wei Wang, and Chunyang Sheng. Data-Driven Prediction for Industrial Processes and Their Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94051-9.

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Ismail-Zadeh, Alik, Alexander Korotkii, and Igor Tsepelev. Data-Driven Numerical Modelling in Geodynamics: Methods and Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27801-8.

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Book chapters on the topic "Data-driven applications"

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Kettner, Benjamin, and Frank Geisler. "Data-Driven Applications." In Pro Serverless Data Handling with Microsoft Azure. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8067-6_3.

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Ganz, Carl. "Introducing Data-Driven Programming." In Pro Dynamic .NET 4.0 Applications. Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2520-1_1.

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Chakraborti, Nirupam. "Miscellaneous Applications." In Data-Driven Evolutionary Modeling in Materials Technology. CRC Press, 2022. http://dx.doi.org/10.1201/9781003201045-15.

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Chakraborti, Nirupam. "Applications in Manufacturing." In Data-Driven Evolutionary Modeling in Materials Technology. CRC Press, 2022. http://dx.doi.org/10.1201/9781003201045-14.

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Chand, Mahesh, and David Talbot. "Building Real-World Web Applications." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_17.

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Zehoo, Edmund. "Building Data-Driven Applications with ODT.NET." In Pro ODP .NET for Oracle Database 11g. Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2821-9_15.

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Haller, Klaus. "Test Data Provisioning for Database-Driven Applications." In Data Security and Security Data. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25704-9_12.

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Mensah, Yaogan. "Fourier Transform on Groups and Applications." In Data-Driven Modeling for Sustainable Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13697-0_2.

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Chand, Mahesh, and David Talbot. "Developing Database Web Applications Using ASP.NET." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_14.

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Chakraborti, Nirupam. "Applications in Materials Design." In Data-Driven Evolutionary Modeling in Materials Technology. CRC Press, 2022. http://dx.doi.org/10.1201/9781003201045-12.

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Conference papers on the topic "Data-driven applications"

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Arifiyanto, Joiverdia, Ningrum Natasya Sirait, Miratul Khusna Mufida, and Mohammad Reza. "Privacy and Data-Driven Applications." In Second International Conference on Public Policy, Social Computing and Development (ICOPOSDEV 2021). Atlantis Press, 2022. http://dx.doi.org/10.2991/assehr.k.220204.030.

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Darema, Frederica, and Mario Rotea. "Dynamic data---Dynamic data-driven applications systems." In the 2006 ACM/IEEE conference. ACM Press, 2006. http://dx.doi.org/10.1145/1188455.1188458.

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Lazarova-Molnar, Sanja. "Data-driven Simulation." In 2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA). IEEE, 2022. http://dx.doi.org/10.23919/spa53010.2022.9927747.

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Frost, Nave. "Explaining Results of Data-Driven Applications." In 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE, 2019. http://dx.doi.org/10.1109/icde.2019.00244.

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Salvadori, Ivan Luiz, Alexis Huf, and Frank Siqueira. "Semantic Data-Driven Microservices." In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2019. http://dx.doi.org/10.1109/compsac.2019.00065.

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Alvarez, Jose M., Mathieu Salzmann, and Nick Barnes. "Data-driven road detection." In 2014 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2014. http://dx.doi.org/10.1109/wacv.2014.6835730.

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Steinhausen, Heinz Christian, Dennis den Brok, Sebastian Merzbach, Michael Weinmann, and Reinhard Klein. "Data-driven Enhancement of SVBRDF Reflectance Data." In International Conference on Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006628602730280.

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Sharma, Rahul, Eric Schkufza, Berkeley Churchill, and Alex Aiken. "Data-driven equivalence checking." In SPLASH '13: Conference on Systems, Programming, and Applications: Software for Humanity. ACM, 2013. http://dx.doi.org/10.1145/2509136.2509509.

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Chen, Lei, Dongwon Lee, and Tova Milo. "Data-driven crowdsourcing: Management, mining, and applications." In 2015 IEEE 31st International Conference on Data Engineering (ICDE). IEEE, 2015. http://dx.doi.org/10.1109/icde.2015.7113418.

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Reischuk, Raphael M., Michael Backes, and Johannes Gehrke. "SAFE extensibility of data-driven web applications." In the 21st international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2187836.2187944.

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Reports on the topic "Data-driven applications"

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Lee, Timothy. Developing a User-Driven Framework for Generating Field Data Collection Applications. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1169836.

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Young, P. G., and M. B. Chadwick. Neutron- and Proton-Induced Nuclear Data Libraries to 150 MeV for Accelerator-Driven Applications. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/622693.

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Li, Yongjun, Jinyu Wan, Allen Liu, Yi Jiao, and Robert Rainer. Data-driven Chaos Indicator for Nonlinear Dynamics and Applications on Storage Ring Lattice Design. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1834604.

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Vesselinov, Velimir V., Dylan R. Harp, and Danny Katzman. Model-driven decision support for monitoring network design based on analysis of data and model uncertainties: methods and applications. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1059873.

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Kaleagasi, Bartu, Sean McCarthy, and Peter Beaumont. Geospatial Public Policy: Global Best Practices for Harnessing the Potential of Satellite Technologies and Applications. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004484.

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This publication presents six case studies of public policies that promote the development and use of geospatial technologies and applications, which can be categorized in five layers: institutions, tools, data, skills and industry. The evolution of these technologies and applications over the past decade has been driven by the understanding that where people and things are located is central to smart decision making. As a result of low-cost launch vehicles, increasing numbers of satellites in orbit, new sensor technologies, machine learning algorithms, advances in cloud computing, and the eme
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Chassang, Sylvain, Kei Kawai, Jun Nakabayashi, and Juan Ortner. Data Driven Regulation: Theory and Application to Missing Bids. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w25654.

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model develo
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Dinh, Nam, Abhinav Gupta, Igor Bolotnov, et al. Development and Application of a Data-Driven Methodology for Validation of Risk-Informed Safety Margin Characterization Models. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1776813.

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Pettit, Chris, and D. Wilson. A physics-informed neural network for sound propagation in the atmospheric boundary layer. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41034.

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We describe what we believe is the first effort to develop a physics-informed neural network (PINN) to predict sound propagation through the atmospheric boundary layer. PINN is a recent innovation in the application of deep learning to simulate physics. The motivation is to combine the strengths of data-driven models and physics models, thereby producing a regularized surrogate model using less data than a purely data-driven model. In a PINN, the data-driven loss function is augmented with penalty terms for deviations from the underlying physics, e.g., a governing equation or a boundary condit
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Pstuty, Norbert, Mark Duffy, Dennis Skidds, et al. Northeast Coastal and Barrier Network Geomorphological Monitoring Protocol: Part I—Ocean Shoreline Position, Version 2. National Park Service, 2022. http://dx.doi.org/10.36967/2293713.

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Following a review of Vital Signs – indicators of ecosystem health – in the coastal parks of the Northeast Coastal and Barrier Network (NCBN), knowledge of shoreline change was ranked as the top variable for monitoring. Shoreline change is a basic element in the management of any coastal system because it contributes to the understanding of the functioning of the natural resources and to the administration of the cultural resources within the parks. Collection of information on the vectors of change relies on the establishment of a rigorous system of protocols to monitor elements of the coasta
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