Literatura académica sobre el tema "Dynamic visualizations"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Dynamic visualizations".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Dynamic visualizations"
Cherukuru, Nihanth W. y Tim Scheitlin. "Visual Comparator: An Interactive Tool for Dynamic Spatiotemporal Comparative Visualizations". Bulletin of the American Meteorological Society 101, n.º 10 (1 de octubre de 2020): E1861—E1869. http://dx.doi.org/10.1175/bams-d-19-0266.1.
Texto completoChin, George, Mudita Singhal, Grant Nakamura, Vidhya Gurumoorthi y Natalie Freeman-Cadoret. "Visual Analysis of Dynamic Data Streams". Information Visualization 8, n.º 3 (25 de enero de 2009): 212–29. http://dx.doi.org/10.1057/ivs.2009.18.
Texto completoVanden Hautte, Sander, Pieter Moens, Joachim Van Herwegen, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Femke Ongenae y Sofie Van Hoecke. "A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies". Sensors 20, n.º 4 (20 de febrero de 2020): 1152. http://dx.doi.org/10.3390/s20041152.
Texto completoHilpert, Martin. "Dynamic visualizations of language change". International Journal of Corpus Linguistics 16, n.º 4 (21 de diciembre de 2011): 435–61. http://dx.doi.org/10.1075/ijcl.16.4.01hil.
Texto completoEmbse, Charles Vonder. "Dynamic Visualizations of Calculus Ideas". Mathematics Teacher 94, n.º 7 (octubre de 2001): 602–7. http://dx.doi.org/10.5951/mt.94.7.0602.
Texto completoStephens, Sonia. "Communicating evolution with a Dynamic Evolutionary Map". Journal of Science Communication 13, n.º 01 (13 de marzo de 2014): A04. http://dx.doi.org/10.22323/2.13010204.
Texto completoWitt, Jessica K., Benjamin A. Clegg, Lisa D. Blalock y Amelia C. Warden. "The Impact of Familiarity on Visualizations of Spatial Uncertainty". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, n.º 1 (septiembre de 2021): 596–600. http://dx.doi.org/10.1177/1071181321651208.
Texto completoSchmidt-Weigand, Florian. "Does Animation Amplify the Modality Effect – or is there any Modality Effect at All?" Zeitschrift für Pädagogische Psychologie 25, n.º 4 (septiembre de 2011): 245–56. http://dx.doi.org/10.1024/1010-0652/a000048.
Texto completoEzell, Evan, Seung-Hwan Lim, David Anderson y Robert Stewart. "Community Fabric: Visualizing communities and structure in dynamic networks". Information Visualization 21, n.º 2 (29 de octubre de 2021): 130–42. http://dx.doi.org/10.1177/14738716211056036.
Texto completoYang, Hui-Yu. "Effects of Dynamic Visualizations Enriched With Visuospatial Cues on Learners' Cognitive Load and Learning Effectiveness". International Journal of Mobile and Blended Learning 14, n.º 1 (enero de 2022): 1–16. http://dx.doi.org/10.4018/ijmbl.297973.
Texto completoTesis sobre el tema "Dynamic visualizations"
Mote, Kevin Dean. "Fast point-feature label placement for dynamic visualizations". Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/k_mote_111307.pdf.
Texto completoStenlund, Jörgen. "Travelling through time : Students’ interpretation of evolutionary time in dynamic visualizations". Licentiate thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154619.
Texto completoFör att kunna förstå och ta ställning till utmaningar i form av exempelvis klimatförändringar, förlust av biodiversitet och antibiotikaresistens krävs kunskap om evolution. För att förstå evolution är det i sin tur viktigt att inse betydelsen av de tidsskalor som evolutionära processer omfattar. Detta utgör inte sällan ett problem vid undervisning om evolution eftersom det rör sig om tidsskalor som sträcker sig långt bortom vad vi själva kan erfara. Tidsskalor ingår i en grupp av begrepp som kallas tröskelbegrepp. Tröskelbegrepp utmärks av att de är svåra att ta till sig, men när väl förståelse uppnås så innebär det en radikal och permanent förändring av hur ett ämnesinnehåll, exempelvis evolution, betraktas. Av den anledningen är de också ”enkelriktade” i meningen att den nya förståelsen är bestående Ett sätt att bemöta problemen med att förstå tidsskalor av varierande storlekar är att använda dynamiska visualiseringar. Denna avhandling handlar just om hur elevers förståelse av evolution med avseende på tiden kan underlättas genom visualiseringar i undervisning. Avhandlingen baseras på två studier som var och en belyser evolutionär tid på olika sätt beträffande såväl innehåll som form. I den första studien undersöktes hur olika varianter av en tidsrepresentation i form av animerade tidslinjer påverkade 144 studenters förståelse av olika tidsaspekter. Representationen av tid hade två variabler, nämligen antal tidslinjer (en tidslinje respektive 3 tidslinjer med olika skalor) och hastighet för animationen av tidsförloppet (konstant hastighet respektive avtagande hastighet när animationen närmade sig nutid). De två variablerna kombinerades för att ge fyra olika varianter av tidsrepresentation. I studien jämfördes varianterna genom att undersöka studenters förmåga kring olika tidsaspekter; hitta händelser vid specifika tider, uppfatta ordning på händelser, uppfatta samtidiga händelser, uppfatta längden på ett tidsintervall och jämföra längden av två tidsintervall. I den andra studien undersöktes uppfattningar och förståelse av tidsmässiga aspekter hos 10 gymnasieelever med utgångspunkt från det interaktiva multi-touch-bordet ”DeepTree”. Det är en interaktiv visualisering av livets träd, det vill säga de fylogenetiska sambanden mellan organismer på jorden. I denna studie fokuserades de interaktiva aspekterna av visualiseringen, särskilt kring hur zoomfunktionen uppfattades av elever men också vilka missuppfattningar som var kopplade till interaktioner. Även tidsaspekterna från den första studien undersöktes. Resultaten från den första studien visar att det under vissa omständigheter kan vara en fördel att variera det animerade tidsflödet, till exempel genom att hastigheten på tidsflödet i animationen avtar under en speciellt händelserik period som behöver granskas noggrannare. Under andra omständigheter kan det däremot vara olämpligt att variera hastigheten för den animerade tiden eftersom det försvårar bedömningen av storleken på, och jämförelsen av, tidsintervall. Det är alltså viktigt att lärare är medvetna om vilken, eller vilka, tidsaspekter som är centrala i den specifika lärandesituationen. Resultaten från den andra studien visar två olika sätt att uppfatta zoomfunktionen när den används i applikationen DeepTree; antingen som en rörelse i tid eller som en rörelse i det metaforiska trädet. Flera missuppfattningar av interaktionen observerades hos eleverna. Till exempel tolkade en del elever den tid det tog att zooma i trädet som att det motsvarade hur lång tid som förflöt mellan olika evolutionära händelser. Ett antal elever verkade anta att det finns en implicit linjär tidslinje längs y-axeln på trädet, och att ju fler grendelningar som fanns längs en gren desto längre tid motsvarade grenen. Generellt är de flesta tidsaspekter svåra att uppfatta för användare av DeepTree. Evolutionära träd av denna typ är dock främst gjorda för att illustrera släktskapsförhållanden, men de tidsmässiga aspekterna skulle kunna förbättras. Applikationer av den typ som DeepTree utgör har potential att erbjuda goda möjligheter till lärande även beträffande evolutionär tid men hänsyn behöver då tas just till hur tidsaspekter beskrivs.
Jacobsson, Johan Lars Henrik. "3D-dynamic visualization of complex molecular cell biology processes : 1-year university students' understanding of visualizations of signal transduction". Thesis, Karlstad University, Faculty of Technology and Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-3185.
Texto completoThis study deals with the use of 3D-dynamic visualizations for teaching complex molecular cell biology concepts. The focus is on signal transduction, which is a concept that constitutes an important part of biological systems. 3D-dynamic visualizations (animations) were produced and shown for a total of 24 students attending a course in molecular cell biology at Karlstad University, Sweden. Data were collected by questionnaires and interviews which were structured around the understandability and usefulness of the animations. The results indicate that animations are useful for teaching life science concepts and can serve as a complement to lectures. They are useful for visualizing continuous time-dependent processes like signal transduction chains. Several connections between students' issues of understanding and layout-issues of the animations were established. A number of implications follow from the study. Basic understanding of animations is fundamental for understanding of advanced concepts, which should be kept in mind in the design phase of production. The level of realism of different factors in animations, like molecule speed and distances, has to be set to strike a balance between conceptual understanding and scientific correctness. Visualization of 3D-structure of molecules provides an understanding of molecule and systemic function. The study reinforces the need to use visualizations in life science teaching.
Denna studie behandlar användningen av 3D-dynamiska visualiseringar för att lära ut komplexa koncept i molekylär cellbiologi. Fokus är på signalöverföring, vilket är ett koncept som är en viktig del av biologiska system. 3D-dynamiska visualiseringar producerades och visades för totalt 24 studenter närvarande på en kurs i molekylär cellbiologu vid Karlstad Universitet, Sverige. Data samlades genom frågeformulär och intervjuer strukturerade runt förståelse och användning av animeringarna. Resultaten indikerar att animeringar är användbara för att lära ut koncept inom livsvetenskap och kan vara ett komplement till lektioner. De är användbara för att visualisera kontinuerliga tidsberoende processer som signalöverföringskedjor. Flera kopplingar mellan frågeställningar för studenternas förståelse och layout-frågeställningar för animeringarna fastställdes. Studien medför ett antal följder. Grundläggande förståelse av animeringar är fundamentalt för förståelse av avancerade koncept, vilket ska betänkas vid designfasen av produktion. Nivån av realism av olika faktorer i animeringarna, som molekylhastighet och avstånd, måste sättas för få balans mellan konceptuell förståelse och vetenskaplig riktighet. Visualisering av molekylers 3D-struktur ger förståelse av molekyl och systemisk funktion. Studien stärker behovet av att använda visualisering i undervisning av livsvetenskap.
Chemistry education, kemididaktik
Kodali, Lata. "Extensions of Weighted Multidimensional Scaling with Statistics for Data Visualization and Process Monitoring". Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99911.
Texto completoDoctor of Philosophy
In this work, two main ideas in data visualization and anomaly detection in dynamic networks are further explored. For both ideas, a connecting theme is extensions of a method called Multidimensional Scaling (MDS). MDS is a dimension-reduction method that takes high-dimensional data (all $p$ dimensions) and creates a low-dimensional projection of the data. That is, relationships in a dataset with presumably a large number of dimensions or variables can be summarized into a lower number of, e.g., two, dimensions. For a given data, an analyst could use a scatterplot to observe the relationship between 2 variables initially. Then, by coloring points, changing the size of the points, or using different shapes for the points, perhaps another 3 to 4 more variables (in total around 7 variables) may be shown in the scatterplot. An advantage of MDS (or any dimension-reduction technique) is that relationships among the data can be viewed easily in a scatterplot regardless of the number of variables in the data. The interpretation of any MDS plot is that observations that are close together are relatively more similar than observations that are farther apart, i.e., proximity in the scatterplot indicates relative similarity. In the first project, we use a weighted version of MDS called Weighted Multidimensional Scaling (WMDS) where weights, which indicate a sense of importance, are placed on the variables of the data. The problem with any WMDS plot is that inaccuracies of the method are not included in the plot. For example, is an observation that appears to be an outlier, really an outlier? An analyst cannot confirm this without further context. Thus, we created a model to calculate, visualize, and interpret such inaccuracy or uncertainty in WMDS plots. Such modeling efforts help analysts facilitate exploratory data analysis. In the second project, the theme of MDS is extended to an application with dynamic networks. Dynamic networks are multiple snapshots of pairwise interactions (represented as edges) among a set of nodes (observations). Over time, changes may appear in some of the snapshots. We aim to detect such changes using a process monitoring approach on dynamic networks. Statistical monitoring approaches determine thresholds for in-control or expected behavior that are calculated from data with no signal. Then, the in-control thresholds are used to monitor newly collected data. We applied this approach on dynamic network data, and we utilized a detailed simulation study to better understand the performance of such monitoring. For the simulation study, data are generated from dynamic network models that use MDS. We found that monitoring summary statistics of the network were quite effective on data generated from these models. Thus, simple tools may be used as a first step to anomaly detection in dynamic networks.
Omirou, Themis. "Levitataed interfaces - with sound : exploring the use of acoustic levitation for the creation of dynamic and physical visualizations". Thesis, University of Bristol, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738242.
Texto completoKühl, Tim [Verfasser] y Katharina [Akademischer Betreuer] Scheiter. "Optimizing Learning with Dynamic and Static Visualizations to Foster Understanding in the Natural Sciences / Tim Kühl ; Betreuer: Katharina Scheiter". Tübingen : Universitätsbibliothek Tübingen, 2011. http://d-nb.info/1162698977/34.
Texto completoLi, Zhaoyi y n/a. "Analysis and Design of Virtual Reality Visualization for a Micro Electro Mechanical Systems (MEMS) CAD Tool". Griffith University. School of Information and Communication Technology, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20060731.121340.
Texto completoLi, Zhaoyi. "Analysis and Design of Virtual Reality Visualization for a Micro Electro Mechanical Systems (MEMS) CAD Tool". Thesis, Griffith University, 2005. http://hdl.handle.net/10072/366361.
Texto completoThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
Full Text
Abdelsadek, Youcef. "Triangle packing for community detection : algorithms, visualizations and application to Twitter's network". Thesis, Université de Lorraine, 2016. http://www.theses.fr/2016LORR0310.
Texto completoRelational data in our society are on a constant increasing, rising arduous challenges. In this thesis, we consider two aspects of relational data. First, we are interested in relational data with weighted relationship. As a concrete example, relationships among Twitter's users could be weighted with regard to their shared number of followers. The second aspect is related to the dynamism which is inherent to data nature. As an instance, in the previous example the number of common followers between two Twitter's users can change over time. In order to handle these complex and dynamic relational data, we use the modelling strength of graphs. Another facet considered in this thesis deals with community identification on weighted and dynamic graphs. For an analyst, the community detection might be helpful to grasp the semantic behind the graph structure. Our assumption relies on the idea to use a set of disjoint pairwise triangles as a basis to detect the community structure. To select these triangles, several algorithms are proposed (i.e., branch-and-bound, greedy search, heuristics and genetic algorithm). Thereafter, we propose a community detection algorithm, called Tribase. In the latter, the weights of communities are compared allowing dominant communities to gain in size. Tribase is compared with the well-known LFR benchmark. The results show that Tribase identifies efficiently the communities while a community structure exists. Additionally, to asset Tribase on real-world data, we consider social networks data, especially Twitter's data, of the ANR-Info-RSN project. In order to support the analyst in its knowledge acquisition, we elaborate a visual interactive approach. To this end, an interactive application, called NLCOMS is introduced. NLCOMS uses multiple synchronous views for visualizing community structure and the related information. Furthermore, we propose an algorithm for the identification of communities over time, called Dyci. The latter takes advantage from the previously detected communities. Several changes' scenarios are considered like, node/edge addition, node/edge removing and edge weight update. The main idea of the proposed algorithm is to track whether a part of the weighted graph becomes weak over time, in order to merge it with the "dominant" neighbour community. In order to assess the quality of the returned community structure, we conduct a comparison with a genetic algorithm on real-world data of the ARN-Info-RSN project. The conducted comparison shows that Dyci algorithm provides a good trade-off between efficiency and consumed time. Finally, the dynamic changes which occur to the underlying graph structure can be visualized with NLCOMS which combines physical an axial time to fulfil this need
Ben, Mahfoudh Hatem. "The memorization of tactical soccer scenes : the effect of visuospatial abilities, expertise and instructional design". Thesis, Valenciennes, Université Polytechnique Hauts-de-France, 2022. http://www.theses.fr/2022UPHF0019.
Texto completoThe use of dynamic visualizations such as animations, videos and virtual reality for training and improving athletes’ performance in the sport field and, particularly in soccer, keeps growing. However, the instructional effectiveness of these informationenriched supports according to learners' characteristics remains not yet fully exploited. While some characteristics such as athletes’ expertise have been widely studied, other characteristics such as individuals' visuospatial abilities (VSA) have received little attention so far and are still neglected. With the aim to improve communication and learning sessions using dynamic visualizations this thesis aims at examining the effect of VSA, expertise and instruction design on the memorization of dynamic soccer tactics. The main results revealed that: (i) participants (experts and novices) with high-VSA were better-equipped than participants with low-VSA to memorize tactical plans from dynamic visualizations. (ii) novices benefited more from VSA than experts, confirming that VSA become less important when learners' prior knowledge increases. (iii) increasing the level of realism or dynamism of dynamic visualizations hindered tactical learning effectiveness, especially for learners with low-VSA. Results urge sport stakeholders to consider VSA in addition to the level of expertise and to select the appropriate instructional design to optimize learning from dynamic visualizations in team sports
Libros sobre el tema "Dynamic visualizations"
Lowe, Richard y Rolf Ploetzner, eds. Learning from Dynamic Visualization. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9.
Texto completoBakker, Johan Willem. Dynamic visualization of chemical processes. [Leiden: University of Leiden, 1998.
Buscar texto completoKumagai, Takashi. Visualization of Hydrogen-Bond Dynamics. Tokyo: Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54156-1.
Texto completoNieuwstadt, F. T. M. Flow Visualization and Image Analysis. Dordrecht: Springer Netherlands, 1993.
Buscar texto completoLars, Lading, Wigley Graham, Buchhave Preben y Summer School on Optical Diagnostics for Flow Processes (1993 : Roskilde, Denmark), eds. Optical diagnostics for flow processes. New York: Plenum Press, 1994.
Buscar texto completoBrydges, Bruce E. Flow visualization of dynamic stall on an oscillating airfoil. Monterey, Calif: Naval Postgraduate School, 1989.
Buscar texto completoFalk, Martin, Sebastian Grottel, Michael Krone y Guido Reina. Interactive GPU-based Visualization of Large Dynamic Particle Data. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02604-1.
Texto completoA, Evtikhieva O. y Raskovskaya I. L, eds. Laser refractography. New York: Springer Verlag, 2010.
Buscar texto completoNorris, Patricia A. I choose life: The dynamics of visualization & biofeedback. Walpole, N.H: Stillpoint Pub., 1987.
Buscar texto completoGowda, B. H. Lakshmana. A Kaleidoscopic view of fluid flow phenomena. New Delhi: Wiley Eastern, 1992.
Buscar texto completoCapítulos de libros sobre el tema "Dynamic visualizations"
Sanchez, Christopher A. y Jennifer Wiley. "Dynamic Visuospatial Ability and Learning from Dynamic Visualizations". En Learning from Dynamic Visualization, 155–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_7.
Texto completoSuits, Jerry P. y Michael J. Sanger. "Dynamic Visualizations in Chemistry Courses". En Pedagogic Roles of Animations and Simulations in Chemistry Courses, 1–13. Washington, DC: American Chemical Society, 2013. http://dx.doi.org/10.1021/bk-2013-1142.ch001.
Texto completoBogacz, Sally y J. Gregory Trafton. "Understanding Static and Dynamic Visualizations". En Diagrammatic Representation and Inference, 347–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46037-3_35.
Texto completoLowe, Richard K. "Dynamic Visualizations: A Two-Edged Sword?" En Handbook of Human Centric Visualization, 581–604. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7485-2_23.
Texto completode Koning, Björn B. y Halszka Jarodzka. "Attention Guidance Strategies for Supporting Learning from Dynamic Visualizations". En Learning from Dynamic Visualization, 255–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_11.
Texto completoStieff, Mike. "Drawing for Promoting Learning and Engagement with Dynamic Visualizations". En Learning from Dynamic Visualization, 333–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_14.
Texto completoDavenport, Jodi L. y Edys S. Quellmalz. "Assessing Science Inquiry and Reasoning Using Dynamic Visualizations and Interactive Simulations". En Learning from Dynamic Visualization, 203–32. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_9.
Texto completoJenkinson, Jodie. "The Role of Craft-Based Knowledge in the Design of Dynamic Visualizations". En Learning from Dynamic Visualization, 93–117. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_5.
Texto completoMcGill, Gaël G. "Designing Instructional Science Visualizations in the Trenches: Where Research Meets Production Reality". En Learning from Dynamic Visualization, 119–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_6.
Texto completoWagner, Inga y Wolfgang Schnotz. "Learning from Static and Dynamic Visualizations: What Kind of Questions Should We Ask?" En Learning from Dynamic Visualization, 69–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56204-9_4.
Texto completoActas de conferencias sobre el tema "Dynamic visualizations"
Cross, James, Dean Hendrix, Larry Barowski y David Umphress. "Dynamic program visualizations". En the 45th ACM technical symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2538862.2538958.
Texto completoBudgett, Stephanie, Maxine Pfannkuch, Matt Regan y Chris Wild. "Dynamic visualizations for inference". En Technology in Statistics Education: Virtualities and Realities. International Association for Statistical Education, 2012. http://dx.doi.org/10.52041/srap.12103.
Texto completoTatzgern, Markus, Denis Kalkofen y Dieter Schmalstieg. "Dynamic compact visualizations for augmented reality". En 2013 IEEE Virtual Reality (VR). IEEE, 2013. http://dx.doi.org/10.1109/vr.2013.6549347.
Texto completoRusu, Adrian, Doru Stoica, Edward Burns, Benjamin Hample, Kevin McGarry y Robert Russell. "Dynamic Visualizations for Soccer Statistical Analysis". En 2010 14th International Conference Information Visualisation (IV). IEEE, 2010. http://dx.doi.org/10.1109/iv.2010.39.
Texto completo"Dynamic 3D Graph Visualizations in Julia". En 2016 Summer Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2016. http://dx.doi.org/10.22360/summersim.2016.scsc.026.
Texto completoFisher, Jacob, Remco Chang y Eugene Wu. "Automatic Y-axis Rescaling in Dynamic Visualizations". En 2021 IEEE Visualization Conference (VIS). IEEE, 2021. http://dx.doi.org/10.1109/vis49827.2021.9623319.
Texto completoCross, James, Dean Hendrix y David Umphress. "Dynamic program visualizations for Java (abstract only)". En the 45th ACM technical symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2538862.2539028.
Texto completoGousie, Michael B., John Grady, Ben Burrage, Robby Grossman, David Machado, Sarah Milewski y Christopher Stuetzle. "Using Metaphors in Dynamic Social Stratification Visualizations". En 2008 12th International Conference Information Visualisation (IV). IEEE, 2008. http://dx.doi.org/10.1109/iv.2008.100.
Texto completoFischer, Maximilian T., Alexander Frings, Daniel A. Keim y Daniel Seebacher. "Towards a Survey on Static and Dynamic Hypergraph Visualizations". En 2021 IEEE Visualization Conference (VIS). IEEE, 2021. http://dx.doi.org/10.1109/vis49827.2021.9623305.
Texto completoWiltshire, Travis J., Dan Hudson, Max Belitsky, Philia Lijdsman, Stijn Wever y Martin Atzmueller. "Examining Team Interaction using Dynamic Complexity and Network Visualizations". En 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS). IEEE, 2021. http://dx.doi.org/10.1109/ichms53169.2021.9582454.
Texto completoInformes sobre el tema "Dynamic visualizations"
Cohen, Paul R., James A. Davis y John L. Warwick. Dynamic Visualization of Battle Simulations. Fort Belvoir, VA: Defense Technical Information Center, enero de 2000. http://dx.doi.org/10.21236/ada461163.
Texto completoForney, Glenn P. Visualization , a tool for understanding fire dynamics. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7431.
Texto completoBauer, Andrew y Berk Geveci. Computational Fluid Dynamics Co-processing for Unsteady Visualization. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2012. http://dx.doi.org/10.21236/ada570113.
Texto completoLandman, Uzi. Analysis and Visualization of Simulated Dynamics in Complex Materials Systems. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 1998. http://dx.doi.org/10.21236/ada359444.
Texto completoDuque, Earl, Steve Legensky, Brad Whitlock, David Rogers, Andrew Bauer, Scott Imlay, David Thompson y Seiji Tsutsumi. Summary of the SciTech 2020 Technical Panel on In Situ/In Transit Computational Environments for Visualization and Data Analysis. Engineer Research and Development Center (U.S.), junio de 2021. http://dx.doi.org/10.21079/11681/40887.
Texto completoFedkiw, Ron. Algorithm Design for Computational Fluid Dynamics, Scientific Visualization, and Image Processing. Fort Belvoir, VA: Defense Technical Information Center, enero de 2007. http://dx.doi.org/10.21236/ada461529.
Texto completoMorkun, Vladimir S., Natalia V. Morkun y Andrey V. Pikilnyak. Augmented reality as a tool for visualization of ultrasound propagation in heterogeneous media based on the k-space method. [б. в.], febrero de 2020. http://dx.doi.org/10.31812/123456789/3757.
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 completoKuznetsov, Victor, Vladislav Litvinenko, Egor Bykov y Vadim Lukin. A program for determining the area of the object entering the IR sensor grid, as well as determining the dynamic characteristics. Science and Innovation Center Publishing House, abril de 2021. http://dx.doi.org/10.12731/bykov.0415.15042021.
Texto completoMidak, Liliia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, Tetiana V. Kostiuk, Khrystyna V. Buzhdyhan, Victor M. Lutsyshyn, Ivanna O. Hladkoskok, Arnold E. Kiv y Mariya P. Shyshkina. Augmented reality while studying radiochemistry for the upcoming chemistry teachers. [б. в.], julio de 2021. http://dx.doi.org/10.31812/123456789/4627.
Texto completo