Suchergebnisse - large-scale scientific data analytics and visualization

Post-processing and visualization of large-scale DEM simulation data with the open-source VELaSSCo platform

Autoren: John P Morrissey Prabhat Totoo Kevin J Hanley et al.

Weitere Verfasser: John P Morrissey Prabhat Totoo Kevin J Hanley et al.

Quelle: Morrissey, J P, Totoo, P, Hanley, K, Papanicolopulos, S, Ooi, J, Cores Gonzalez, I, Raffin, B, Mostajabodaveh, S & Gierlinger, T 2020, ' Post-processing and visualisation of large-scale DEM simulation data with the open-source VELaSSCo platform ', SIMULATION, pp. 567-581 . https://doi.org/10.1177/0037549720906465

Schlagwörter: [INFO.INFO-DC]Computer Science [cs]/Distributed, DEM, 0211 other engineering and technologies, 1. No poverty, discrete-to-continuum, 02 engineering and technology, Parallel, 01 natural sciences, Discrete element method, and Cluster Computing [cs.DC], HBase, Apache Hadoop, 0103 physical sciences, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], data analytics, Visualization

Dateibeschreibung: application/pdf

Zugangs-URL: https://journals.sagepub.com/doi/pdf/10.1177/0037549720906465
https://www.pure.ed.ac.uk/ws/files/129974219/Using_VELaSSCo_platform_accepted.pdf
https://journals.sagepub.com/doi/pdf/10.1177/0037549720906465
https://doi.org/10.1177/0037549720906465
https://journals.sagepub.com/doi/full/10.1177/0037549720906465
https://www.research.ed.ac.uk/portal/en/publications/postprocessing-and-visualisation-of-largescale-dem-simulation-data-with-the-opensource-velassco-platform(b5e689a2-36c2-491c-a1c7-bca83700f093).html
https://www.research.ed.ac.uk/en/publications/post-processing-and-visualisation-of-large-scale-dem-simulation-d
https://www.pure.ed.ac.uk/ws/files/129974219/Using_VELaSSCo_platform_accepted.pdf
https://hdl.handle.net/20.500.11820/b5e689a2-36c2-491c-a1c7-bca83700f093

DECODE-3DViz: Efficient WebGL-Based High-Fidelity Visualization of Large-Scale Images using Level of Detail and Data Chunk Streaming.

Autoren: AboArab MA Potsika VT Skalski A et al.

Quelle: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Feb 14. Date of Electronic Publication: 2025 Feb 14.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Feature Extraction and Parallel Visualization for Large-Scale Scientific Data

Autoren: Yu, Lina

Quelle: ETD collection for University of Nebraska-Lincoln

Index Begriffe: Computer science, text

URL: https://digitalcommons.unl.edu/dissertations/AAI10638316

An application-aware data replacement policy for interactive large-scale scientific visualization

Autoren: Jun Wang Hong Jiang Lina Yu et al.

Quelle: 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). :1216-1225

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/document/7965175/
https://nebraska.pure.elsevier.com/en/publications/an-application-aware-data-replacement-policy-for-interactive-larg
https://dblp.uni-trier.de/db/conf/ipps/ipdps2017w.html#YuYJW17

HPC enabled immersive and non-immersive visualization of large scale scientific data

Autoren: Simon Su Luis Bravo Vincent Perry et al.

Quelle: Disruptive Technologies in Information Sciences II. :25

Schlagwörter: 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11013/110130P/HPC-enabled-immersive-and-non-immersive-visualization-of-large-scale/10.1117/12.2519315.full
http://ui.adsabs.harvard.edu/abs/2019SPIE11013E..0PS/abstract

The SURE Atlas – a Knowledge Synthesizer for Urban Sustainability Research.

Autoren: Vaghjipurwala, Husain Noennig, Jörg Rainer Borgmann, Katharina et al.

Quelle: Procedia Computer Science. 2025, Vol. 270, p2156-2165. 10p.

Schlagwörter: Sustainable urban development, Urban research, Dashboards (Management information systems), Data management, Project evaluation, Conceptual structures, Knowledge management

An Analysis Framework Addressing the Scale and Legibility of Large Scientific Data Sets

Autoren: Childs, Hank

Schlagwörter: parallel visualization, comparative visualization, line scans, volume rendering, analytics

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/885515nq
https://escholarship.org/content/qt885515nq/qt885515nq.pdf

Visual Data-Analytics of Large-Scale Parallel Discrete-Event Simulations

Weitere Verfasser: Ma, Kwan-Liu

Quelle: Conference: 7th International Workshop in Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, 11/13/16 - 11/13/16, Salt Lake City, UT, US

Dateibeschreibung: Medium: ED; Size: 87

Zugangs-URL: http://www.osti.gov/scitech/servlets/purl/1392627

Operational Efficiency in Retail: Using Data Analytics to Optimize Inventory and Supply Chain Management

Autoren: null Oluwakemi Famoti null Ogechukwu Nwanneka Ezechi null Chikezie Paul-Mikki Ewim et al.

Quelle: International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 11:1483-1494

Enhancing Decision-Making in IoT Ecosystems with Big Data Analytics and Hadoop Frameworks.

Autoren: Vij, Anu Goyal, Aniket

Quelle: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 2, p1334-1350, 17p

Schlagwörter: REAL-time computing, DATA analytics, K-means clustering, PROCESS capability, ELECTRONIC data processing

Visual analytics of large-scale climate model data

Autoren: Han-Wei Shen Samson Hagos Kewei Lu et al.

Quelle: 2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV). :85-92

Schlagwörter: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/conf/ldav/ldav2014.html#WongSLHLTL14
https://ieeexplore.ieee.org/document/7013208/

Revolutionizing Agriculture through IoT Enhanced Data Analytics: A Study from a Blockchain Technology Perspective

Autoren: null S. Sivabalan null R. Renugadevi null G. Kalaiarasi et al.

Quelle: Blockchain-Enabled Internet of Things Applications in Healthcare: Current Practices and Future Directions ISBN: 9789815305210

Utilizing Data Analytics for Strategic Business Decision-Making and Market Insights

Autoren: Faiz Mohiuddin Mulla

Quelle: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-7

Middleware for online scientific data analytics at extreme scale

Autoren: Zheng, Fang

Thesis Advisors: Schwan, Karsten

Schlagwörter: Scientific data analytics, I/O middleware, Middleware, Big data, High performance computing

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/1853/51847

The New Frontier of Healthcare and Industry: Subash’s Expertise in Big Data and Cloud Computing for Enhanced Operational Efficiency.

Autoren: Subhash Polineni, Tulasi Naga Seenu, Aaluri

Quelle: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 2, p271-283, 13p

Schlagwörter: HEALTH care industry, CLOUD computing, BIG data, DATA integration, DATA analytics

The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT): Data Analysis and Visualization for Geoscience Data

Autoren: Williams, Dean

Schlagwörter: Mathematics and Computing, Visualization, climate analysis, visual analytics, provenance, workflow

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/549537x5
https://escholarship.org/content/qt549537x5/qt549537x5.pdf

Entity Alignment

Autoren: Xiang Zhao Weixin Zeng Jiuyang Tang

Resource Type: eBook.

Schlagworte: Big data, Data mining, Information visualization

Categories: COMPUTERS / Artificial Intelligence / Expert Systems, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General

Exploring Global Interest in Propolis, Nanosilver, and Biomaterials: Insights and Implications for Dentistry from Big Data Analytics.

Autoren: Sycińska-Dziarnowska, Magdalena Szyszka-Sommerfeld, Liliana Woźniak, Krzysztof et al.

Quelle: Dentistry Journal; Jun2025, Vol. 13 Issue 6, p253, 16p

Schlagwörter: IMPULSE response, DATA analytics, COVID-19 pandemic, DENTAL caries, PROPOLIS

I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes

Autoren: Jai Dayal Matthew Wolf Scott Klasky et al.

Quelle: 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum. :2015-2024

Schlagwörter: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Zugangs-URL: https://dblp.uni-trier.de/db/conf/ipps/ipdps2013w.html#DayalCESWZAKPL13
http://ieeexplore.ieee.org/document/6651106/
http://www.osti.gov/scitech/biblio/1061131-containers-managing-data-analytics-visualization-pipelines-high-end-codes
http://www.istc-cc.cmu.edu/publications/papers/2013/hpdic-13-dayal.pdf
https://ieeexplore.ieee.org/document/6651106/
https://www.computer.org/csdl/proceedings-article/ipdpsw/2013/4979c015/12OmNy5hRnN

Enabling interactive scientific data visualization and analysis with see-through hmds and a large tiled display

Autoren: Kwan-Liu Ma Issei Fujishiro Yucong Ye et al.

Quelle: 2016 Workshop on Immersive Analytics (IA). :1-6

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://ieeexplore.ieee.org/document/7932374
https://keio.pure.elsevier.com/ja/publications/enabling-interactive-scientific-data-visualization-and-analysis-w
https://ieeexplore.ieee.org/document/7932374
https://ucdavis.pure.elsevier.com/en/publications/enabling-interactive-scientific-data-visualization-and-analysis-w