Literatura académica sobre el tema "Creation of data models"
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Artículos de revistas sobre el tema "Creation of data models"
Parvinen, Petri, Essi Pöyry, Robin Gustafsson, Miikka Laitila y Matti Rossi. "Advancing Data Monetization and the Creation of Data-based Business Models". Communications of the Association for Information Systems 47, n.º 1 (1 de octubre de 2020): 25–49. http://dx.doi.org/10.17705/1cais.04702.
Texto completoSchadd, Maarten, Nico de Reus, Sander Uilkema y Jeroen Voogd. "Data-driven behavioural modelling for military applications". Journal of Defence & Security Technologies 4, n.º 1 (enero de 2022): 12–36. http://dx.doi.org/10.46713/jdst.004.02.
Texto completoFisher, Nathan B., John C. Charbonneau y Stephanie K. Hurst. "Rapid Creation of Three-Dimensional, Tactile Models from Crystallographic Data". Journal of Crystallography 2016 (14 de agosto de 2016): 1–8. http://dx.doi.org/10.1155/2016/3054573.
Texto completoSaarijärvi, Hannu, Christian Grönroos y Hannu Kuusela. "Reverse use of customer data: implications for service-based business models". Journal of Services Marketing 28, n.º 7 (7 de octubre de 2014): 529–37. http://dx.doi.org/10.1108/jsm-05-2013-0111.
Texto completoSenderovich, Arik, Kyle E. C. Booth y J. Christopher Beck. "Learning Scheduling Models from Event Data". Proceedings of the International Conference on Automated Planning and Scheduling 29 (25 de mayo de 2021): 401–9. http://dx.doi.org/10.1609/icaps.v29i1.3504.
Texto completoHron, Vojtěch y Lena Halounová. "AUTOMATIC RECONSTRUCTION OF ROOF MODELS FROM BUILDING OUTLINES AND AERIAL IMAGE DATA". Acta Polytechnica 59, n.º 5 (1 de noviembre de 2019): 448–57. http://dx.doi.org/10.14311/ap.2019.59.0448.
Texto completoMilkau, Udo. "Value Creation within AI-enabled Data Platforms". Journal of Creating Value 5, n.º 1 (30 de octubre de 2018): 25–39. http://dx.doi.org/10.1177/2394964318803244.
Texto completoAbrukov, S. V., E. V. Karlovich, V. N. Afanasyev, Yu V. Semenov y Victor S. Abrukov. "CREATION OF PROPELLANT COMBUSTION MODELS BY MEANS OF DATA MINING TOOLS". International Journal of Energetic Materials and Chemical Propulsion 9, n.º 5 (2010): 385–96. http://dx.doi.org/10.1615/intjenergeticmaterialschemprop.2011001405.
Texto completoVycital, Miroslav y Cenek Jarský. "An automated nD model creation on BIM models". Organization, Technology and Management in Construction: an International Journal 12, n.º 1 (22 de junio de 2020): 2218–31. http://dx.doi.org/10.2478/otmcj-2020-0018.
Texto completoElvas, Luís B., João C. Ferreira, Miguel Sales Dias y Luís Brás Rosário. "Health Data Sharing towards Knowledge Creation". Systems 11, n.º 8 (21 de agosto de 2023): 435. http://dx.doi.org/10.3390/systems11080435.
Texto completoTesis sobre el tema "Creation of data models"
Wojatzki, Michael Maximilian [Verfasser] y Torsten [Akademischer Betreuer] Zesch. "Computer-assisted understanding of stance in social media : formalizations, data creation, and prediction models / Michael Maximilian Wojatzki ; Betreuer: Torsten Zesch". Duisburg, 2019. http://d-nb.info/1177681471/34.
Texto completoStienmetz, Jason Lee. "Foundations for a Network Model of Destination Value Creation". Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/419874.
Texto completoPh.D.
Previous research has demonstrated that a network model of destination value creation (i.e. the Destination Value System model) based on the flows of travelers within a destination can be used to estimate and predict individual attractions’ marginal contributions to total visitor expenditures. While development to date of the Destination Value System (DVS) has focused on the value created from dyadic relationships within the destination network, previous research supports the proposition that system-level network structures significantly influence the total value created within a destination. This study, therefore, builds upon previous DVS research in order to determine the relationships between system-level network structures and total value creation within a destination. To answer this question econometric analysis of panel data covering 43 Florida destinations over the period from 2007 to 2015 was conducted. The panel data was created utilizing volunteered geographic information (VGI) obtained from 4.6 million photographs shared on Flickr. Results of econometric analysis indicate that both seasonal effects and DVS network structures have statistically significant relationships with total tourism-related sales within a destination. Specifically, network density, network out-degree centralization, and network global clustering coefficient are found to have negative and statistically significant effects on destination value creation, while network in-degree centralization, network betweenness centralization, and network subcommunity count are found to have positive and statistically significant effects. Quarterly seasonality is also found to have dynamic and statistically significant effects on total tourism-related sales within a destination. Based on the network structures of destinations and total tourism related sales within destinations, this study also uses k-means cluster analysis to classify tourism destinations into a taxonomy of six different system types (Exploration, Involvement, Development I, Development II, Consolidation, and Stars). This taxonomy of DVS types is found to correspond to Butler’s (1980) conceptualization of the destination life cycle, and additional data visualization and exploration based on the DVS taxonomy finds distinct characteristics in destination structure, dynamics, evolution, and performance that may be useful for benchmarking. Additionally, this study assesses the quality of VGI data for tourism related research by comparing DVS network structures based on Flickr data and visitor intercept survey data. Support for the use of VGI data is found, provided that thousands of observations are available for analysis. When fewer observations are available, aggregation techniques are recommended in order to improve the quality of overall destination network system quantification. This research makes important contributions to both the academic literature and the practical management of destinations by demonstrating that DVS network structures significantly influence the economic value created within the destination, and thus suggests that a strategic network management approach is needed for the governance of competitive destinations. As a result, this study provides a strong foundation for the DVS model and future research in the areas of destination resiliency, “smarter” destination management, and tourism experience design.
Temple University--Theses
Khadgi, Vinaya y Tianyi Wang. "Automatic Creation of Researcher’s Competence Profiles Based on Semantic Integration of Heterogeneous Data sources". Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsområde Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-21904.
Texto completoChawinga, Winner Dominic. "Research data management in public universities in Malawi". University of the Western Cape, 2019. http://hdl.handle.net/11394/6951.
Texto completoThe emergence and subsequent uptake of Information and Communication Technologies has transformed the research processes in universities and research institutions across the globe. One indelible impact of Information and Communication Technologies on the research process is the increased generation of research data in digital format. This study investigated how research data has been generated, organised, shared, stored, preserved, accessed and re-used in Malawian public universities with a view to proposing a framework for research data management in universities in Malawi. The objectives of the study were: to determine research data creation, sharing and re-use practices in public universities in Malawi; to investigate research data preservation practices in public universities in Malawi; to investigate the competencies that librarians and researchers need to effectively manage research data; and to find out the challenges that affect the management of research data in public universities in Malawi. Apart from being guided by the Community Capability Model Framework (Lyon, Ball, Duke & Day, 2011) and Data Curation Centre Lifecycle Model (Higgins, 2008), the study was inspired by the pragmatic school of thought which is the basis for a mixed methods research enabling the collection of quantitative and qualitative data from two purposively selected universities. A census was used to identify researchers and librarians while purposive sampling was used to identify directors of research. Questionnaires were used to collect mostly quantitative and some qualitative data from 36 librarians and 187 researchers while interviews were conducted with directors of research. The Statistical Package for the Social Sciences was used to analyse the quantitative data by producing percentages, means, independent samples ttest and one-way analysis of variance. Thematic analysis was used to analyse the qualitative data.
Puerto, Valencia J. (Jose). "Predictive model creation approach using layered subsystems quantified data collection from LTE L2 software system". Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201907192705.
Texto completoFadul, Waad. "Data-Driven Health Services: an Empirical Investigation on the Role of Artificial Intelligence and Data Network Effects in Value Creation". Thesis, Uppsala universitet, Informationssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447507.
Texto completoTAHERIFARD, ERSHAD. "Open data in Swedish municipalities? : Value creation and innovation in local public sector organizations". Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299877.
Texto completoDigital transformationen lyfts som ett sätt att lösa många av de problem och utmaningar som den offentliga sektorn står inför gällande kostnadsutveckling och ökade krav på bättre samhällsservice. Öppna data är en sådan strategisk resurs som är nödvändig för att dennautveckling ska ske och kommunsektorn samlar på sig information som skulle kunna publiceras för att skapa värden i många led. Dels menar tidigare forskning att ekonomiska värden kan genereras genom nya innovativa tjänster och produktivitetsökningar, men även sociala värden som ökad medborgardelaktighet och transparens. Men trots tidigare försök att stimulera öppna data, ligger Sverige långt efter jämförbara länder och det saknas forskning som tittar på exakt hur dessa ekonomiska värden ska fångas. För att undersöka varför så är fallet och vilken roll öppna data har på värdeskapande i kommunsektorn har denna studie genom kvalitativa intervjuer med en induktiv ansats identifierat flertalet teman. Studien resulterade i en djupare teoretisk analys av öppna data och dess egenskaper. Genom att betrakta det som en kollektiv vara går det att använda flera förklaringsmodeller för att förklara dess långsamma spridning och förstå de svåra förutsättningarna för värdefångst vilket resulterar i incitamentsproblem. Till det finns det strukturella problem kopplat till lagstiftning och infrastruktur som hämmarspridningen av öppna data och dess värdeskapande roll i kommunsektorn.
Huber, Peter, Harald Oberhofer y Michael Pfaffermayr. "Who Creates Jobs? Econometric Modeling and Evidence for Austrian Firm Level Data". WU Vienna University of Economics and Business, 2015. http://epub.wu.ac.at/4650/1/wp205.pdf.
Texto completoSeries: Department of Economics Working Paper Series
Kenjangada, Kariappa Ganapathy y Marcus Bjersér. "Value as a Motivating Factor for Collaboration : The case of a collaborative network for wind asset owners for potential big data sharing". Thesis, Högskolan i Halmstad, Centrum för innovations-, entreprenörskaps- och lärandeforskning (CIEL), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-40699.
Texto completoVieira, Fábio Danilo 1977. "Modelos baseados em técnicas de mineração de dados para suporte à certificação racial de ovinos". [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/257128.
Texto completoDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola
Made available in DSpace on 2018-08-26T01:06:59Z (GMT). No. of bitstreams: 1 Vieira_FabioDanilo_M.pdf: 3608471 bytes, checksum: 4705c25d2fbd6794b8aa85559e3620a0 (MD5) Previous issue date: 2014
Resumo: As raças de ovinos localmente adaptadas descendem de animais trazidos durante o período colonial, e durante anos foram submetidas a cruzamentos indiscriminados com raças exóticas. Estas raças de ovinos são consideradas importantes por possuírem características adaptativas às diversas condições ambientais brasileiras. Para evitar a perda deste importante material genético, a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) decidiu incluí-las no seu Programa de Pesquisa em Recursos Genéticos, armazenando-as em seus bancos de germoplasma, sendo que as que possuem maior destaque nacional são as raças Crioula, Morada Nova e Santa Inês. A seleção dos ovinos para compor estes bancos é realizada por meio da avaliação de características morfológicas e produtivas. Entretanto, essa avaliação está sujeita a falhas, pois alguns animais cruzados mantêm características semelhantes àquelas dos animais locais. Desta forma, identificar se os animais depositados nos bancos são ou não pertencentes a uma raça é uma tarefa que exige muita cautela. Em busca de soluções, nos últimos anos houve um aumento significativo no uso de tecnologias que utilizam marcadores moleculares SNP (do inglês Single Nucleotide Polimorphism). No entanto, o grande número de marcadores gerados, que pode chegar a centenas de milhares por animal, torna-se um problema crucial. Para abordar esse problema, o objetivo deste trabalho é desenvolver modelos baseados em técnicas de mineração de dados para selecionar os principais marcadores SNP para as raças Crioula, Morada Nova e Santa Inês. Os dados utilizados neste estudo foram obtidos do Consórcio Internacional de Ovinos e são compostos por 72 animais destas três raças e 49.034 marcadores SNP para cada ovino. O resultado obtido com a conclusão deste trabalho foi um conjunto de modelos preditivos baseados em técnicas de mineração de dados que selecionaram os principais marcadores SNP para identificação das raças estudadas. A partir da intersecção desses modelos identificou-se um subconjunto de 15 marcadores com maior potencial de identificação das raças. Os modelos poderão ser utilizados para certificação das raças de ovinos já depositados nos bancos de germoplasma e de novos animais a serem inclusos, além de subsidiar associações de criadores interessadas em certificar seus animais, bem como o MAPA (Ministério da Agricultura, Pecuária e Abastecimento) no controle de animais registrados. Os modelos gerados poderão ser estendidos para outras espécies animais de produção
Abstract: The locally adapted breeds of sheep are descended from animals brought in during the colonial period, and for years were subjected to indiscriminate crossbreeding with exotic breeds. These breeds of sheep are considered important by having adaptive characteristics to several Brazilian environmental conditions. To avoid the loss of this important genetic material, the Brazilian Agricultural Research Corporation (Embrapa) decided to include them in its Programme of Research in Genetic Resources, storing them in their genebanks, while those with greater national prominence are Creole breeds, Morada Nova and Santa Ines. The selection of sheep to compose these banks is performed through the evaluation of morphological and productive characteristics. However, this assessment is subject to failures, because some crossbred maintains similar characteristics to those of the local animals. Thus, identifying if the animals deposited in banks belong or not to a breed is a challenging task. In search for solutions in recent years there has been a significant increase in the use of technologies that use molecular markers SNP (Single Nucleotide Polimorphism). However, the large number of markers generated, which can reach hundreds of thousands per animal, becomes a crucial issue. To address this problem, the aim of this study is to develop models based on data mining techniques to select the main SNP markers for Creole, Morada Nova and Santa Ines breeds. The data used in this study were obtained from the International Consortium of Sheep and consist of 72 animals e of these three breeds and 49,034 SNP markers for each sheep. The result obtained with this study was a set of predictive models based on data mining techniques to selected major SNP markers to identify the breeds studied. The intersection of the generated models identified a subset of 15 markers, with greater potential for identification of sheep breeds. The models may be used for certification of sheep breeds already deposited in genebanks and new animals to be included, apart from subsidizing breeders associations interested in certifying their animals, as well as MAPA (Ministry of Agriculture, Livestock and Food Supply) in control registered animals. The proposed models can be extended to other species of production animals
Mestrado
Planejamento e Desenvolvimento Rural Sustentável
Mestre em Engenharia Agrícola
Libros sobre el tema "Creation of data models"
Hughes, Barry. International futures: Choices in the creation of a new world order. 2a ed. Boulder, Colo: Westview Press, 1996.
Buscar texto completoHughes, Barry. International futures: Choices in the creation of a new world order. Boulder, Colo: Westview Press, 1993.
Buscar texto completoRodríguez Bolívar, Manuel Pedro, Kelvin Joseph Bwalya y Christopher G. Reddick, eds. Governance Models for Creating Public Value in Open Data Initiatives. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14446-3.
Texto completoHughes, Barry. International futures: Choices in the creation of a new world order. 2a ed. Boulder, Colo: Westview Press, 1996.
Buscar texto completoGrigorev, Anatoliy. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/22119.
Texto completoKaufmann, Manuel. Dreaming Data: Aspekte der Ästhetik, Originalität und Autorschaft in der künstlichen Kreativität. Zürich: Chronos, 2022.
Buscar texto completoBoger, Dan C. On the feasibility of creating a comparable database for nonrecurring cost analysis under dual source competition. Monterey, Calif: Naval Postgraduate School, 1987.
Buscar texto completoKyper, Eric. Improved Decision-making in Data Mining: A Heuristic Rule Induction Approach to Decision Tree Creation and Model Selection. Saarbrücken: VDM Verlag Dr. Müller, 2008.
Buscar texto completoVarlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.
Texto completoWinkelmann, Rainer. Count Data Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-21735-1.
Texto completoCapítulos de libros sobre el tema "Creation of data models"
Šprogar, Matej, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotska y Jiří Klema. "Notes on Medical Decision Model Creation". En Medical Data Analysis, 270–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45497-7_41.
Texto completoBressoud, Thomas y David White. "Relational Model: Design, Constraints, and Creation". En Introduction to Data Systems, 425–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54371-6_14.
Texto completoJugulum, Rajesh. "Creating and Analyzing Models". En Common Data Sense for Professionals, 49–65. New York: Productivity Press, 2021. http://dx.doi.org/10.4324/9781003165279-4.
Texto completoCongelio, Bradley J. "Advanced Model Creation with NFL Data". En Introduction to NFL Analytics with R, 236–326. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003364320-5.
Texto completoVoss, Vivien, K. Heinke Schlünzen y David Grawe. "AtMoDat (Atmospheric Model Data)—Creation of a Model Standard for Obstacle Resolving Models". En Springer Proceedings in Complexity, 331–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-63760-9_48.
Texto completoBassett, Debra J. "Losing the Data of the Dead and Expanding Existing Models of Bereavement". En The Creation and Inheritance of Digital Afterlives, 123–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91684-8_6.
Texto completoPatir, Rupam, Shubham Singhal, C. Anantaram y Vikram Goyal. "Interpretability of Black Box Models Through Data-View Extraction and Shadow Model Creation". En Communications in Computer and Information Science, 378–85. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63823-8_44.
Texto completoAhle, Ulrich y Juan Jose Hierro. "FIWARE for Data Spaces". En Designing Data Spaces, 395–417. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93975-5_24.
Texto completoSikora, Marek. "Rule Quality Measures in Creation and Reduction of Data Rule Models". En Rough Sets and Current Trends in Computing, 716–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11908029_74.
Texto completoWilfling, Sandra. "Augmenting Explainable Data-Driven Models in Energy Systems: A Python Framework for Feature Engineering". En Machine Learning for Cyber-Physical Systems, 121–29. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47062-2_12.
Texto completoActas de conferencias sobre el tema "Creation of data models"
Danilova, Tatyana V., Alexey O. Manturov, Gleb O. Mareev, Oleg V. Mareev y Innokentiy K. Alaytsev. "Creation of anatomical models from CT data". En Saratov Fall Meeting 2017: Fifth International Symposium on Optics and Biophotonics: Laser Physics and Photonics XIX; Computational Biophysics and Analysis of Biomedical Data IV, editado por Vladimir L. Derbov y Dmitry E. Postnov. SPIE, 2018. http://dx.doi.org/10.1117/12.2309318.
Texto completoSchmuck, Matthias y Mircea Georgescu. "Enabling Data Value Creation with Data Governance: A Success Measurement Model". En 12th International Conference on Software Engineering & Trends. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.140816.
Texto completoTakkand, G. V. y S. V. Lyagushov. "Problems of Creation of Petrophysical Models When Integrating 3D Seismic Data". En 6th Saint Petersburg International Conference and Exhibition. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20140170.
Texto completoMartyshko, Petr. "DENSITY EARTH�S CRUST MODELS CREATION USING GRAVITY AND SEISMIC DATA". En 18th International Multidisciplinary Scientific GeoConference SGEM2018. Stef92 Technology, 2018. http://dx.doi.org/10.5593/sgem2018/1.1/s05.094.
Texto completoCianciosa, Mark, Richard Archibald, Wael Elwasif, Ana Gainaru, Jin Myung Park y Ross Whitfield. "Adaptive Generation of Training Data for ML Reduced Model Creation". En 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020884.
Texto completoAdan, Antonio, Xuehan Xiong, Burcu Akinci y Daniel Huber. "Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data". En 28th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2011. http://dx.doi.org/10.22260/isarc2011/0061.
Texto completoAnuyah, Sydney y Sunandan Chakraborty. "CAN DEEP LEARNING LARGE LANGUAGE MODELS BE USED TO UNRAVEL KNOWLEDGE GRAPH CREATION?" En CMLDS 2024: 2024 International Conference on Computing, Machine Learning and Data Science. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3661725.3661733.
Texto completoThelen, Michael, Guntram Pressmair, Markus Lassnig y Veronika Hornung-Prähauser. "Electric Vehicles as Flexibility Assets: Unlocking Ecosystem Collaborations: Leveraging Value Creation Partnerships for Mutually-beneficial Exchanges". En New Business Models 2023. Maastricht University Press, 2023. http://dx.doi.org/10.26481/mup.2302.18.
Texto completoN. Krilov, D. "Models Creation as a Part of Porosity and Lithology Studies Incorporating Seismic Data". En 57th EAEG Meeting. Netherlands: EAGE Publications BV, 1995. http://dx.doi.org/10.3997/2214-4609.201409329.
Texto completoNeydorf, Rudolf, Viktor Polyakh y Ivan Chernogorov. "Creation of Mathematical Models of Fragmented Data Arrays Using “Cut-Glue” Approximation Method". En 2018 International Russian Automation Conference (RusAutoCon). IEEE, 2018. http://dx.doi.org/10.1109/rusautocon.2018.8501639.
Texto completoInformes sobre el tema "Creation of data models"
Pagliarin, Sofia, Dominik Herrmann, Daniela Nicklas, Hannes Glückert, Jon Meyer y Patrick Vizitiu. Data policy models in European smart cities : Experiences, opportunities and challenges in data policies in Europe. Otto-Friedrich-Universität, 2022. http://dx.doi.org/10.20378/irb-53583.
Texto completoMackley, Rob D., John A. Serkowski y George V. Last. Status Report on the Creation of a Preliminary Data Model and Dictionary for a New Petrologic Database. Office of Scientific and Technical Information (OSTI), junio de 2008. http://dx.doi.org/10.2172/971114.
Texto completoKoop, Gary, Stuart McIntyre, James Mitchell, Aubrey Poon y Ping Wu. Incorporating short data into large mixed-frequency VARs for regional nowcasting. Federal Reserve Bank of Cleveland, mayo de 2023. http://dx.doi.org/10.26509/frbc-wp-202309.
Texto completoMacCormack, K. E., C. H. Eyles y J. C. Maclachlan. Making the most of what you've got: creating 3D subsurface models with data of varying quality. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2006. http://dx.doi.org/10.4095/221887.
Texto completoLi, Honghai, Mitchell Brown, Lihwa Lin, Yan Ding, Tanya Beck, Alejandro Sanchez,, Weiming Wu, Christopher Reed y Alan Zundel. Coastal Modeling System user's manual. Engineer Research and Development Center (U.S.), abril de 2024. http://dx.doi.org/10.21079/11681/48392.
Texto completoGonzalez-Esteban, Cristina. Black Sea Wreck Virtual Reconstruction to Reinvigorate Archaeological Data and Comparative Studies. Honor Frost Foundation, 2023. http://dx.doi.org/10.33583/mags2021.07.
Texto completoMerkulova, Yuliya. Система цифровых моделей - новая технология для баланса данных. Yuliya Merkulova, abril de 2021. http://dx.doi.org/10.12731/er0430.26042021.
Texto completoHerman, Brook, Paula Whitfield, Jenny Davis, Amanda Tritinger, Becky Raves, S. Dillon, Danielle Szimanski, Todd Swannack, Joseph Gailani y Jeffery King. Swan Island resilience model development; Phase I : conceptual model. Engineer Research and Development Center (U.S.), enero de 2023. http://dx.doi.org/10.21079/11681/46402.
Texto completoShukla, Indu, Rajeev Agrawal, Kelly Ervin y Jonathan Boone. AI on digital twin of facility captured by reality scans. Engineer Research and Development Center (U.S.), noviembre de 2023. http://dx.doi.org/10.21079/11681/47850.
Texto completoWilson, D., Daniel Breton, Lauren Waldrop, Danney Glaser, Ross Alter, Carl Hart, Wesley Barnes et al. Signal propagation modeling in complex, three-dimensional environments. Engineer Research and Development Center (U.S.), abril de 2021. http://dx.doi.org/10.21079/11681/40321.
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