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Gotowe bibliografie tematyczne / Application Shiny

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Gotowa bibliografia na temat „Application Shiny”

Autor: Grafiati

Data publikacji: 26 października 2024

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Application Shiny"

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Shirokovskikh, Margarita S. "THE APPLICATION OF SHINY MATERIALS IN TAPESTRY: FROM DECOR TO CONCEPT." Architecton: Proceedings of Higher Education, no. 2(70) (June 29, 2020): 21. http://dx.doi.org/10.47055/1990-4126-2020-2(70)-21.

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This article is the first ever attempt to study and summarize the extensive material on the use of shiny threads in tapestry art. The circle of artists using shine as an expressive medium in their artworks is identified. Methods of creating shiny surfaces in this art form and their symbolic meanings are outlined.

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Morota, Gota. "79 Statistical Graphics and Interactive Visualization in Animal Science." Journal of Animal Science 99, Supplement_3 (2021): 45. http://dx.doi.org/10.1093/jas/skab235.079.

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Abstract Statistical graphics has advanced significantly in recent years with the development of statistical computing tools that allow us to create reports dynamically, facilitate reproducible research, and explore data interactively. In particular, data visualization is a fundamental aspect of big data analysis in animal science. However, the static nature of standard visualization limits the information that can be displayed and extracted. The objectives of this hands-on workshop are to learn how to utilize interactive visualization and investigate both global and local structures of graphs

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Morota, Gota. "312 Statistical graphics and interactive visualization in animal science." Journal of Animal Science 98, Supplement_4 (2020): 45–46. http://dx.doi.org/10.1093/jas/skaa278.083.

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Abstract Statistical graphics has advanced significantly in recent years with the development of statistical computing tools that allow us to create reports dynamically, facilitate reproducible research, and explore data interactively. In particular, data visualization is a fundamental aspect of big data analysis in animal science. However, the static nature of standard visualization limits the information that can be displayed and extracted. The objectives of this hands-on workshop are to learn how to utilize interactive visualization and investigate both global and local structures of graphs

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Jagla, Bernd, Valentina Libri, Claudia Chica, et al. "SCHNAPPs - Single Cell sHiNy APPlication(s)." Journal of Immunological Methods 499 (December 2021): 113176. http://dx.doi.org/10.1016/j.jim.2021.113176.

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Chaves, Marcelo Vitor Gualberto Santos, Marcelo Lourençoni Pauletti, Samuel José Silva Soares da Rocha, Lucas Rezende Gomide, and Carolina Souza Jarochinski e. Silva. "Edentree: A web application for optimal rotation age analysis." Revista Árvore 49, no. 1 (2025): 1–18. https://doi.org/10.53661/1806-9088202549263865.

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The R/Shiny package is a tool that allows the creation of interactive web applications, transforming complex analyses into accessible interfaces. In the forestry sector, Shiny’s potential is still little explored, despite its applications in areas such as forest inventory, fire monitoring, LiDAR data analysis, and biomass and carbon estimates in Brazilian forests. This tool has been adopted by researchers and companies for its ability to generate interactive statistical reports and dashboards, contributing to data visualization and supporting forestry decision-making. From this, the objective

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Kemperman, Lauren, and Matthew N. McCall. "miRcomp-Shiny: Interactive assessment of qPCR-based microRNA quantification and quality control algorithms." F1000Research 6 (November 23, 2017): 2046. http://dx.doi.org/10.12688/f1000research.13098.1.

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The miRcomp-Shiny web application allows interactive performance assessments and comparisons of qPCR-based microRNA expression and quality estimation methods using a benchmark data set. This work is motivated by two distinct use cases: (1) selection of methodology and quality thresholds for use analyzing one's own data, and (2) comparison of novel expression estimation algorithms with currently-available methodology. The miRcomp-Shiny application is implemented in the R/Shiny language and can be installed on any operating system on which R can be installed. It is made freely available as part

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Li, Jianfeng, Bowen Cui, Yuting Dai, Ling Bai, and Jinyan Huang. "BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform." PeerJ 6 (October 31, 2018): e5853. http://dx.doi.org/10.7717/peerj.5853.

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The increase in bioinformatics resources such as tools/scripts and databases poses a great challenge for users seeking to construct interactive and reproducible biological data analysis applications. Here, we propose an open-source, comprehensive, flexible R package named BioInstaller that consists of the R functions, Shiny application, the HTTP representational state transfer application programming interfaces, and a docker image. BioInstaller can be used to collect, manage and share various types of bioinformatics resources and perform interactive and reproducible data analyses based on the

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Oberti, Mauricio, and Iosif Vaisman. "shiny-pred: a server for the prediction of protein disordered regions." F1000Research 8 (February 28, 2019): 230. http://dx.doi.org/10.12688/f1000research.17669.1.

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Intrinsically disordered proteins or intrinsically disordered regions (IDR) are segments within a protein chain lacking a stable three-dimensional structure under normal physiological conditions. Accurate prediction of IDRs is challenging due to their genome wide occurrence and low ratio of disordered residues, making them a difficult target for traditional classification techniques. Existing computational methods mostly rely on sequence profiles to improve accuracy, which is time consuming and computationally expensive. The shiny-pred application is an ab initio sequence-only disorder predict

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Sağlam, Fatih``, Tuba Şanlı, and Mehmet Ali Cengiz. "ShinySurv : A survival analysis and Shiny web application." Journal of Statistics and Management Systems 27, no. 8 (2024): 1557–75. https://doi.org/10.47974/jsms-1024.

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There are different programs available for survival analysis. However, these programs do not deal with survival problems with all censor types. The aim of this study is to form and explain “ShinySurv” application of survival analysis methods in R-Shiny for different types of censorship. Using ShinySurv, the user can upload his own data set to the system or benefit from sample data sets. ShinySurv provides visualization of analysis results with graphs and reporting of results for parametric and non-parametric survival methods. An example application of a survival analysis is given. The web appl

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Toledo San Martín, Álvaro, and Inés Vicencio Pardo. "Aplicaciones interactivas basadas en el paquete SHINY/R para explicar conceptos estadísticos." HUMAN REVIEW. International Humanities Review / Revista Internacional De Humanidades 17, no. 4 (2023): 1–15. https://doi.org/10.37819/revhuman.v17i4.1587.

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Shiny is an application for R software that allows the creation of interfaces for users without programming knowledge. In this work we use a systematic mapping method for the collection, analysis, and extraction of information in publications that indicate the use of Shiny to explain statistical concepts. Among the conclusions, it is found that Shiny is used as a tool for carrying out academic experiences, as well as a means for solving problems in the areas of education and natural and life sciences, addressing statistical topics related to pre-inferential statistics and inferential statistic

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Rozprawy doktorskie na temat "Application Shiny"

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Biesiada, Jacek. "Shiny Application for Enrichment and Topological Pathway Analysis." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595846446399689.

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Nicvert, Lisa. "Méthodes statistiques et outils logiciels pour l'analyse et l'inférence de réseaux écologiques et le traitement de données multi-espèces." Electronic Thesis or Diss., Lyon 1, 2024. http://www.theses.fr/2024LYO10130.

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Les interactions entre espèces dans les communautés écologiques sont complexes : de nombreuses espèces peuvent interagir les unes avec les autres de façons variées et à différentes échelles spatiales et temporelles. De plus, ces réseaux d'interactions sont la résultante de multiples causes, engendrent de multiples processus et ont des conséquences parfois indirectes transmises au travers de la structure du réseau. Cette complexité nécessite une diversité d'approches pour comprendre les déterminants des interactions et prédire leurs effets dans les systèmes écologiques. Cette thèse étudie plusi

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Ankrah, Stephanie. "Protective materials for sporting applications : football shin guards." Thesis, University of Birmingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288869.

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Sertori, Matteo. "Studio e realizzazione dell'interfaccia grafica per un applicativo Health." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21539/.

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Mukherjee, Sapna Shukla [Verfasser], Rainer [Gutachter] Heintzmann, and Jer-Shing [Gutachter] Hunag. "Novel applications of nanogratings for high resolution microscopy / Sapna Shukla Mukherjee ; Gutachter: Rainer Heintzmann, Jer-Shing Hunag." Jena : Friedrich-Schiller-Universität Jena, 2017. http://d-nb.info/1177595753/34.

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Denecker, Thomas. "Bioinformatique et analyse de données multiomiques : principes et applications chez les levures pathogènes Candida glabrata et Candida albicans Functional networks of co-expressed genes to explore iron homeostasis processes in the pathogenic yeast Candida glabrata Efficient, quick and easy-to-use DNA replication timing analysis with START-R suite FAIR_Bioinfo: a turnkey training course and protocol for reproducible computational biology Label-free quantitative proteomics in Candida yeast species: technical and biological replicates to assess data reproducibility Rendre ses projets R plus accessibles grâce à Shiny Pixel: a content management platform for quantitative omics data Empowering the detection of ChIP-seq "basic peaks" (bPeaks) in small eukaryotic genomes with a web user-interactive interface A hypothesis-driven approach identifies CDK4 and CDK6 inhibitors as candidate drugs for treatments of adrenocortical carcinomas Characterization of the replication timing program of 6 human model cell lines." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASL010.

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Plusieurs évolutions sont constatées dans la recherche en biologie. Tout d’abord, les études menées reposent souvent sur des approches expérimentales quantitatives. L’analyse et l’interprétation des résultats requièrent l’utilisation de l’informatique et des statistiques. Également, en complément des études centrées sur des objets biologiques isolés, les technologies expérimentales haut débit permettent l’étude des systèmes (caractérisation des composants du système ainsi que des interactions entre ces composants). De très grandes quantités de données sont disponibles dans les bases de données

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LEE, CHENG-WEI, and 李政葦. "An Interactive Web Application of Data Science with R using Shiny." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/469wk9.

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碩士<br>國立高雄大學<br>統計學研究所<br>107<br>This study uses the Shiny package in the R programming language to create an interactive web application for data science including time series, data mining, machine learning, regression analysis, etc. Since the Shiny package is a dynamic and interactive application that allows users to change settings and check results right away, it saves users a lot of time from rerunning and modifying programs. In addition, this interactive web application is very helpful for the introduction and further understanding of statistical methods. Users can describe the data thro

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Suleman, Nazira. "Mechanism-Based Approach to the Economic Evaluation of Pharmaceuticals." Master's thesis, 2018. http://hdl.handle.net/10451/40032.

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Tese de mestrado, Ciências Biofarmacêuticas, Universidade de Lisboa, Faculdade de Farmácia, 2018<br>A farmacoeconomia é uma disciplina que avalia o uso de medicamentos em termos de recursos na maximização da saúde da população. Dado que os recursos para os cuidados de saúde são finitos, a avaliação económica envolve a estimativa do custo de oportunidade, i.e., os benefícios marginais perdidos como resultado do deslocamento de tratamentos ou serviços existentes para financiar novos medicamentos. A farmacocinética é a ciência que visa o estudo do movimento de fármacos no organismo, o que inclui

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Chen, Szu-Chuan, and 陳思全. "Green villageSynbiotic eco-village planning－An Application for Jubei and Chiunglin City Shin-Chu county." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/99539516183390894640.

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碩士<br>中原大學<br>建築研究所<br>90<br>After the industry revolution ,the human being always hold a concept of environment that man will triumph over nature for a long time .And it makes the main stream value of economic trading system keep overriding the care of ecological environment. In Taiwan,our economics grows rapidly and the industrial business property are developed vigorous from the beginning of R.O.C.. Under the background of the whole times ,the changes of ecological environment also replaced from nature to artificial, and developed behavior replaced the current environment ,the pounce on nat

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LIN, YUAN-WEN, and 林淵文. "The application of multivariate statistical method in water quality for the basin of shin-men reservoir." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/24370936631239640637.

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Książki na temat "Application Shiny"

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Ankrah, Stephanie. Protective materials for sporting applications - football shin guards. University of Birmingham, 2002.

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Resnizky, Hernan G. Learning Shiny. Packt Publishing, 2015.

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Web Application Development with R Using Shiny. Packt Publishing, 2013.

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Web Application Development with R Using Shiny. Packt Publishing, Limited, 2013.

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Web Application Development with R Using Shiny - Second Edition: Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the Web. Packt Publishing, 2016.

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Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny Application for Time-Varying Treatments. RAND Corporation, 2021. http://dx.doi.org/10.7249/tla570-4.

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Griffin, Beth Ann, Chuck Stelzner, Ricardo Sanchez, Matthew Cefalu, and Daniel McCaffrey. Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny Application for Three or More Treatment Groups. RAND Corporation, 2020. http://dx.doi.org/10.7249/tla570-1.

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Beeley, Chris, and Shitalkumar R. Sukhdeve. Web Application Development with R Using Shiny: Build stunning graphics and interactive data visualizations to deliver cutting-edge analytics, 3rd Edition. Packt Publishing, 2018.

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Engineering Production-Grade Shiny Apps. Taylor & Francis Group, 2021.

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Fay, Colin, S�bastien Rochette, Vincent Guyader, and Cervan Girard. Engineering Production-Grade Shiny Apps. Taylor & Francis Group, 2021.

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Części książek na temat "Application Shiny"

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Granjon, David. "Web application concepts." In Outstanding User Interfaces with Shiny. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003124924-5.

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Fay, Colin, Sébastien Rochette, Vincent Guyader, and Cervan Girard. "Common Application Caveats." In Engineering Production-Grade Shiny Apps. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003029878-22.

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Fay, Colin, Sébastien Rochette, Vincent Guyader, and Cervan Girard. "Deploy Your Application." In Engineering Production-Grade Shiny Apps. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003029878-19.

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Greco, Fedele, Lucia Guastadisegni, and Carlo Trivisano. "An R-Shiny Application for Statistical Matching." In Italian Statistical Society Series on Advances in Statistics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-64447-4_25.

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da Silva, Emanuel Vieira Monteiro, Luís Filipe Meira Machado, and Gustavo Domingos da Costa Coelho Soutinho. "Survapp: A Shiny Application for Survival Data Analysis." In Springer Proceedings in Mathematics & Statistics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-68949-9_9.

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Alves, Samuel, Ana Cristina Braga, and Rosete Nogueira. "Percentile Growth Curves for Placenta Measures: A Dynamic Shiny Application." In Computational Science and Its Applications – ICCSA 2022 Workshops. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10536-4_36.

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Telukdarie, Arnesh, Mpho Godfrey Nkadimeng, and Thabile Dube. "Sustainable business intelligence in Master of Business Administration programmes: Johannesburg Business School's breakthrough with the Shiny web application." In Sustainability and Digital Engineering Management: African Case Studies in Sustainable Digital Transformation. Emerald Publishing Limited, 2025. https://doi.org/10.1680/978-1-83662-642-820251015.

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Albert, Jim, Max Marchi, and Benjamin S. Baumer. "Using Shiny for Baseball Applications." In Analyzing Baseball Data with R, 3rd ed. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781032668239-15.

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Baker, Katie, Gordon Stephen, Shona Strachan, Miles Armstrong, and Ingo Hein. "BLASTmap: A Shiny-Based Application to Visualize BLAST Results as Interactive Heat Maps and a Tool to Design Gene-Specific Baits for Bespoke Target Enrichment Sequencing." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8724-5_14.

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Antunes, Ana Rita, and Ana Cristina Braga. "Shiny App to Predict Agricultural Tire Dimensions." In Computational Science and Its Applications – ICCSA 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58808-3_19.

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Streszczenia konferencji na temat "Application Shiny"

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Andresen, Peter L. "Mitigation of Stress Corrosion Cracking by Underwater Thermal Spray Coating of Noble Metals." In CORROSION 1995. NACE International, 1995. https://doi.org/10.5006/c1995-95412.

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Abstract Numerous approaches have been developed for mitigating stress corrosion cracking in existing BWRs. Among these, reduction of the corrosion potential provides the most efficient, consistent, and dramatic decrease in the crack growth rate of unirradiated and irradiated materials of all types. Historically, reduction in corrosion potential has been accomplished by adding H2 to the feed water to decrease the dissolved O2 and H2O2 concentrations. However, H2 concentrations greatly in excess of the stoichiometric amount are required, and factors such as the cost of H2, increased N16 in the

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Anggono, W. S. P. Dwi, Kristoko Dwi Hartomo, and Eko Sediyono. "Standardized precipitation index web application mapping shiny model." In 2017 International Conference on Innovative and Creative Information Technology (ICITech). IEEE, 2017. http://dx.doi.org/10.1109/innocit.2017.8319131.

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Satyahadewi, Neva, and Hendra Perdana. "Web Application Development for Inferential Statistics using R Shiny." In 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020). Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210508.099.

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Scrivner, Olga, Vinita Chakilam, Nilima Sahoo, and Stephan De Spiegeleire. "Topic Analysis through Streamgraph via Shiny Application: A Social Collaborative Approach." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2018. http://dx.doi.org/10.24251/hicss.2018.025.

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Konda, Kazuki, and Yoshiro Yamamoto. "Analyze the trends of customer purchase data and visualize by the Shiny application." In 2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE). IEEE, 2018. http://dx.doi.org/10.1109/ictke.2018.8612310.

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Bani, Ryota, and Yoshiro Yamamoto. "Development of an R-Shiny-based Shooting Area Visualization Application for Use in Basketball." In 2022 20th International Conference on ICT and Knowledge Engineering (ICT&KE). IEEE, 2022. http://dx.doi.org/10.1109/ictke55848.2022.9983260.

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Murillo, Danny, Dalys Saavedra, and Robinson Zapata. "Web application in Shiny for the extraction of data from profiles in Google Scholar." In 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”. Latin American and Caribbean Consortium of Engineering Institutions, 2022. http://dx.doi.org/10.18687/laccei2022.1.1.235.

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Harding, Kevin G. "Measuring shiny surfaces with optical gages." In Dimensional Optical Metrology and Inspection for Practical Applications XIII, edited by Song Zhang, Kevin G. Harding, Andrés G. Marrugo, Beiwen Li, and Jae-Sang Hyun. SPIE, 2024. http://dx.doi.org/10.1117/12.3013004.

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Zharri, Elona, and Stefan A. Robila. "Shiny Dashboard - NYC Trees Benefit Estimation." In 2022 IEEE Long Island Systems, Applications and Technology Conference (LISAT). IEEE, 2022. http://dx.doi.org/10.1109/lisat50122.2022.9923953.

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Morgan, Jeffrey J., Otto C. Wilson, and Prahlad G. Menon. "The Wisdom of Crowds Approach to Influenza-Rate Forecasting." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86559.

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Influenza is an important public health concern. Influenza leads to the death or hospitalization of thousands of people around the globe every year. However, the flu-season varies every year viz. when it starts, when it peaks, and the severity of the outbreak. Knowing the trajectory of the epidemic outbreak is important for taking appropriate mitigation strategies. Starting with the 2013–2014 flu season, the Influenza Division of the Centers for Disease Control and Prevention (CDC) has held a “Predict the Influenza Season Challenge” to encourage the scientific community to make advances in the

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Raporty organizacyjne na temat "Application Shiny"

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Mazorchuk, Mariia S., Tetyana S. Vakulenko, Anna O. Bychko, Olena H. Kuzminska, and Oleksandr V. Prokhorov. Cloud technologies and learning analytics: web application for PISA results analysis and visualization. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4451.

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This article analyzes the ways to apply Learning Analytics, Cloud Technologies, and Big Data in the field of education on the international level. This paper provides examples of international analytical researches and cloud technologies used to process the results of those researches. It considers the PISA research methodology and related tools, including the IDB Analyzer application, free R intsvy environment for processing statistical data, and cloud-based web application PISA Data Explorer. The paper justifies the necessity of creating a stand-alone web application that supports Ukrainian

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Armstrong, Dave. Interactive Dashboards and Web Apps with Shiny in R. Instats Inc., 2023. http://dx.doi.org/10.61700/3g41zs4gcnd3e469.

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This seminar introduces Shiny, the R package that serves as a framework for building interactive web applications. One of the benefits of Shiny is that it allows dynamic cloud calculations that you can integrate into your research project (e.g., running statistical models with a custom specification, filtering and summarizing data, producing custom graphics). This seminar discusses how to build Shiny apps, how to customize their appearance, and how to host them so other users can view and interact with them -- readers, reviewers, or other research team members. An official Instats certificate

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Armstrong, Dave. Interactive Dashboards and Web Apps with Shiny in R. Instats Inc., 2023. http://dx.doi.org/10.61700/b3vv6dox5eqdl469.

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This seminar introduces Shiny, the R package that serves as a framework for building interactive web applications. One of the benefits of Shiny is that it allows dynamic cloud calculations that you can integrate into your research project (e.g., running statistical models with a custom specification, filtering and summarizing data, producing custom graphics). This seminar discusses how to build Shiny apps, how to customize their appearance, and how to host them so other users can view and interact with them -- readers, reviewers, or other research team members. An official Instats certificate

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Ihaddaden, Fodil. Introduction to Web App Development with R Shiny. Instats Inc., 2024. http://dx.doi.org/10.61700/c3vssh3mivcmo1636.

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This workshop provides an extensive introduction to developing interactive web applications using R Shiny, enabling participants to create, deploy, and optimize data-driven web tools. Ideal for PhD students, professors, and researchers, the course covers fundamental and advanced concepts tailored to enhance research presentation and real-time analytical communication across various scientific domains.

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Bhutiani, Rakesh. The Citation Game: Winning Strategies to Elevate Your Research Profile (2025). Rakesh Bhutiani, 2025. https://doi.org/10.36953/rbb.6072025.

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In today’s information-rich world, a sharp research profile is no longer Windows optional; it’s routine. Whether you are a fresh graduate chasing your first big grant or a seasoned scholar working to keep your name in the conversation, your online page is a window to your academic brand, credibility, and reach. Citations carry more weight than they used to, and they show up everywhere—in grant applications, tenure files, even yearly program reviews. Whether you have dozens of articles or are just starting your Ph.D., learning how to nudge those numbers higher helps you, your colleagues, and th

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