Academic literature on the topic 'Processing of information data'

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Journal articles on the topic "Processing of information data"

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Wojdynski, Bartosz W. "Interactive Data Graphics and Information Processing." Journal of Media Psychology 27, no. 1 (2015): 11–21. http://dx.doi.org/10.1027/1864-1105/a000127.

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Among the chief promises of interactivity in news content online are that it leads to improved engagement with and attitudes toward content, yet scholarship is mixed on how such effects should occur, and under what conditions they do so. This study sought to examine the processes and conditions for effects of interactivity on processing online health news containing graphically displayed data. An experiment (N = 86) was conducted using online health news to examine these effects and test two previously proposed mechanisms – namely, those of increased involvement and perceived interactivity. In
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BERRY, P. A. M., and A. J. MEADOWS. "INFORMATION PROCESSING OF REMOTE‐SENSING DATA." Journal of Documentation 43, no. 4 (1987): 295–302. http://dx.doi.org/10.1108/eb026812.

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Editorial. "Information Security and Multisensor Data Processing." Information & Security: An International Journal 2 (1999): 5–11. http://dx.doi.org/10.11610/isij.0200.

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Papademetriou, Rallis C. "Data processing using information theory functionals." Kybernetes 27, no. 3 (1998): 264–72. http://dx.doi.org/10.1108/03684929810209478.

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GAŠPAR, Vladimír, and Rudolf ANDOGA. "DESIGN OF A LABORATORY INFORMATION SYSTEM FOR DATA PROCESSING AND EFFICIENCY EVALUATION." Acta Electrotechnica et Informatica 15, no. 4 (2015): 22–29. http://dx.doi.org/10.15546/aeei-2015-0032.

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Riski, Alya Nur, Muhammad Syukri, Oktavia Oktavia, Rini Risanti, and Asep Suherman. "Tax Data Processing System." Informatics Management, Engineering and Information System Journal 1, no. 1 (2023): 88–98. http://dx.doi.org/10.56447/imeisj.v1i1.222.

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The expense information handling framework at the Shibgah Islam Nusantara Amanah Foundation is as yet done physically, according to the ongoing framework, information filing and duty information recovery have not been completed as expected and on time, where away it is constantly put away haphazardly, causing harm or harm. lost information, so looking for information for data requirements of benefactors consumes most of the day since they need to every year find and match documents. This framework is broke down and planned utilizing spellbinding investigation research strategies and OOAD (Obje
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KRYVENCHUK, Yurii, and Mykhailo-Yurii KHANAS. "ALGORITHM OF DATA MINING AND PROCESSING OF RELATED DATA IN SOCIAL NETWORKS." Herald of Khmelnytskyi National University. Technical sciences 311, no. 4 (2022): 115–18. http://dx.doi.org/10.31891/2307-5732-2022-311-4-115-118.

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We live in a time of rapid growth of information technology, which is firmly entrenched in our daily lives. It is simply impossible to imagine a modern person without social networks, because they perform a communicative and informational function, namely: communication, information retrieval, news exchange, etc. Five hundred million tweets are posted daily, making Twitter a major social media platform from which topical information on events can be extracted. So, there is a lot of information available to the user, which is difficult to identify something specific and necessary in the usual w
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Sharopova, Muxayyo Muxtor qizi. "PROCESSING TECHNOLOGIES BIG DATA." Multidisciplinary Journal of Science and Technology 4, no. 3 (2024): 390–95. https://doi.org/10.5281/zenodo.10870056.

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Long, John M. "The POSCH data processing experience." Journal of Medical Systems 10, no. 2 (1986): 173–83. http://dx.doi.org/10.1007/bf00993123.

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KIKKAWA, Sho. "Biomedical Information Engineering : Information Processing of Biomedical Random Data." Journal of the Society of Mechanical Engineers 89, no. 811 (1986): 583–89. http://dx.doi.org/10.1299/jsmemag.89.811_583.

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Dissertations / Theses on the topic "Processing of information data"

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Fernandez, Noemi. "Statistical information processing for data classification." FIU Digital Commons, 1996. http://digitalcommons.fiu.edu/etd/3297.

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This thesis introduces new algorithms for analysis and classification of multivariate data. Statistical approaches are devised for the objectives of data clustering, data classification and object recognition. An initial investigation begins with the application of fundamental pattern recognition principles. Where such fundamental principles meet their limitations, statistical and neural algorithms are integrated to augment the overall approach for an enhanced solution. This thesis provides a new dimension to the problem of classification of data as a result of the following developments: (1
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Bashir, Omar. "Management and processing of network performance information." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/10361.

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Intrusive monitoring systems monitor the performance of data communication networks by transmitting and receiving test packets on the network being monitored. Even relatively small periods of monitoring can generate significantly large amounts of data. Primitive network performance data are details of test packets that are transmitted and received over the network under test. Network performance information is then derived by significantly processing the primitive performance data. This information may need to be correlated with information regarding the configuration and status of various net
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Lian, Xiang. "Efficient query processing over uncertain data /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20LIAN.

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Beaton, Duncan. "Integration of data description and quality information using metadata for spatial data and spatial information systems." Thesis, University of Newcastle Upon Tyne, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321263.

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Ganz, Frieder. "Intelligent communication and information processing for cyber-physical data." Thesis, University of Surrey, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654752.

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There is a growing trend towards integrating physical data into the Internet which is supported by sensor devices, smartphones, GPS and many other sources that capture and communicate real world data. Cyber-Physical Data describes the type of data that represents observations and measurements gathered by sensor devices. These sensor devices are capable of transforming physical information (e.g. light, temperature, coordinates) into digitised data. With tremendous volumes of Cyber-Physical Data that are created, novel methods have to be developed that facilitate processing and provisioning of t
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Butcher, Ronald K. "COMPOSITE DATA FROM CENTRIFUGAL EXPERIMENTATION REGARDING HUMAN INFORMATION PROCESSING." Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1182285671.

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Yiu, Lai Kuen Candy. "Chinese character synthesis : towards universal Chinese information exchange." HKBU Institutional Repository, 2003. http://repository.hkbu.edu.hk/etd_ra/477.

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Ylinärä, A. (Ari). "Open data in city strategies." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201704121477.

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The development initiatives of cities are prioritized by the city councils in the city strategies. This master’s thesis studies the occurrence of open data themes among city priorities. The theoretical background of the thesis is based on knowledge of open data literature and city strategies. It is studied how the cities promote open data in their city strategies: how are the themes of open data visible in the strategies. Opening data is an active topic in cities. Among other drivers, legislation in national and European Union level is pushing proceeding. Opening datasets in new sectors meets
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Katsikouli, Panagiota. "Distributed and privacy preserving algorithms for mobility information processing." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31110.

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Smart-phones, wearables and mobile devices in general are the sensors of our modern world. Their sensing capabilities offer the means to analyze and interpret our behaviour and surroundings. When it comes to human behaviour, perhaps the most informative feature is our location and mobility habits. Insights from human mobility are useful in a number of everyday practical applications, such as the improvement of transportation and road network infrastructure, ride-sharing services, activity recognition, mobile data pre-fetching, analysis of the social behaviour of humans, etc. In this dissertati
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Chitondo, Pepukayi David Junior. "Data policies for big health data and personal health data." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2479.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.<br>Health information policies are constantly becoming a key feature in directing information usage in healthcare. After the passing of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009 and the Affordable Care Act (ACA) passed in 2010, in the United States, there has been an increase in health systems innovations. Coupling this health systems hype is the current buzz concept in Information Technology, „Big data‟. The prospects of big data are full of potential, eve
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Books on the topic "Processing of information data"

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Arden, Trevor. Information processing. Pitman, 1989.

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Anderson, Ronald Gordon. Data processing. 7th ed. Macdonald and Evans, 1990.

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Dudman, K. E. Data, information & information storage. University of London, External Advisory Service, 1992.

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Ahmad, Falih. Optical information processing. Research Signpost, 2008.

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Program, Alberta Alberta Education Career and Technology Studies. Information processing. Alberta Education, Career and Technology Studies, 1992.

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Hammersley, P. Data, information & information storage. 2nd ed. University of London, External Publications, 1995.

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Hanson, Robert N. Keyboarding for information processing. 2nd ed. Gregg Division, McGraw-Hill, 1987.

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Lunde, Ken. CJKV information processing. 2nd ed. O'Reilly, 2009.

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Lunde, Ken. CJKV information processing. 2nd ed. O'Reilly, 2009.

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Perry, Edwards, ed. Principles of information processing. Burgess Communications, 1986.

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Book chapters on the topic "Processing of information data"

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Bubenko, Janis. "Information Processing – Administrative Data Processing." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03757-3_15.

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Clark, Pamela Elizabeth, and Michael Lee Rilee. "Processing Information and Data." In Remote Sensing Tools for Exploration. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6830-2_6.

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Kee, Estelle Xin Ying, and Jer Lang Hong. "A Heuristic Data Mining Framework Towards Dynamic Data of Social Media." In Neural Information Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26561-2_48.

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Heni, Houyem, and Faiez Gargouri. "A Methodological Approach for Big Data Security: Application for NoSQL Data Stores." In Neural Information Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26561-2_80.

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Kohjima, Masahiro, Yuta Nambu, Yuki Kurauchi, and Ryuji Yamamoto. "General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data." In Neural Information Processing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30105-6_13.

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Eftekharian, Esmaeel, Amin Khatami, Abbas Khosravi, and Saeid Nahavandi. "Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data." In Neural Information Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26561-2_16.

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Chen, Yuxin, Shun Li, and Jiahui Yao. "Processing Missing Information in Big Data Environment." In Data Mining and Big Data. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93803-5_60.

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Chekanov, Sergei V. "Data Analysis and Data Mining." In Advanced Information and Knowledge Processing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28531-3_12.

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Clark, James J., and Alan L. Yuille. "Bayesian Sensory Information Processing." In Data Fusion for Sensory Information Processing Systems. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4757-2076-1_2.

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Khushi, Matloob, Usman Naseem, Jonathan Du, Anis Khan, and Simon K. Poon. "Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer." In Neural Information Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63836-8_2.

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Conference papers on the topic "Processing of information data"

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Amirkhanyan, Liana G., and Alla E. Brom. "Automating Information Retrieval with Semantic Data Processing." In 2025 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). IEEE, 2025. https://doi.org/10.1109/reepe63962.2025.10971021.

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Inagaki, Takahiro, Kensuke Inaba, Yasuhiro Yamada, et al. "Information processing with large-scale network of optical oscillators." In AI and Optical Data Sciences VI, edited by Masaya Notomi and Tingyi Zhou. SPIE, 2025. https://doi.org/10.1117/12.3040430.

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Ozcan, Aydogan. "Programming light diffraction for information processing and computational imaging." In AI and Optical Data Sciences VI, edited by Masaya Notomi and Tingyi Zhou. SPIE, 2025. https://doi.org/10.1117/12.3035005.

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Chen, Jiadi. "Multi-Source Heterogeneous Data Cell Information Processing Model." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10653246.

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Ostroumov, Ivan, and Tamara Galabir. "Airplane Trajectory Data Processing with Actual Weather Data." In 2024 14th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2024. http://dx.doi.org/10.1109/acit62333.2024.10712527.

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Wang, Yongqiang. "Language Information Processing Algorithms in Intelligent Translation Systems." In 2025 3rd International Conference on Data Science and Information System (ICDSIS). IEEE, 2025. https://doi.org/10.1109/icdsis65355.2025.11070530.

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S., Kushmitha, Jaspher W. Kathrine, and Abisha M. B. "Natural Language Processing in Geographic Information Systems." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2025. https://doi.org/10.1109/idciot64235.2025.10915096.

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Santos, Pedro, Tânia Carvalho, Filipe Magalhães, and Luís Antunes. "Secure Visual Data Processing via Federated Learning." In 11th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013183000003899.

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Svingos, Christoforos, Theofilos Mailis, Herald Kllapi, Lefteris Stamatogiannakis, Yannis Kotidis, and Yannis Ioannidis. "Real time processing of streaming and static information." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840631.

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Kulce, Onur, Deniz Mengu, Yair Rivenson, and Aydogan Ozcan. "Information processing capacity of diffractive surfaces." In AI and Optical Data Sciences II, edited by Ken-ichi Kitayama and Bahram Jalali. SPIE, 2021. http://dx.doi.org/10.1117/12.2580540.

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Reports on the topic "Processing of information data"

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Medvedeva, S. N., and N. E. Rodnischev. Electronic course «Information technology of experimental data processing». Ailamazyan Program Systems Institute of Russian Academy of Sciences, 2024. https://doi.org/10.12731/ofernio.2024.25398.

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Spina, John F. Integrated RF Sensor Signal/Data Processing Information Analysis Center (IAC). Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada401075.

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Bae, Hyunhoe, Peter Wilcoxen, and David Popp. Information Disclosure Policy: Do States' Data Processing Efforts Help More than the Information Disclosure Itself? National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14409.

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Azar, Pablo, Sergio Olivas, and Nish D. Sinha. The Price of Processing: Information Frictions and Market Efficiency in DeFi. Federal Reserve Bank of New York, 2025. https://doi.org/10.59576/sr.1153.

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This paper investigates the speed of price discovery when information becomes publicly available but requires costly processing to become common knowledge. We exploit the unique institutional setting of hacks on decentralized finance (DeFi) protocols. Public blockchain data provides the precise time a hack’s transactions are recorded—becoming public information—while subsequent social media disclosures mark the transition to common knowledge. This empirical design allows us to isolate the price impact occurring during the interval characterized by information asymmetry driven purely by differe
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Levitan, Herbert. Microcomputer-Based Data Acquisition, Analysis and Control of Information Processing by Neural Networks. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada177170.

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Damos, Diane L. Identifying the Circadian Cycle in Human Information Processing Data Using Periodicity Analysis: A Synopsis. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada214674.

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Lopez Aldama, Daniel, and Roberto Capote Noy. Generating an ACE-formatted Photonuclear Data Library from IAEA/PD-2019 using ACEMAKER. IAEA Nuclear Data Section, 2023. http://dx.doi.org/10.61092/iaea.w3md-qhzb.

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The nuclear data processing of photonuclear data for actinides from the IAEA/PD-2019 library was reviewed. The ACEMAKER processing code was used to ensure all information available in the library was correctly formatted. The ACEMAKER code is available at the IAEA Nuclear Data Section (https://github.com/IAEA-NDS/ACEMAKER) Re-processed IAEA/PD-2019 photonuclear library is available at nds.iaea.org/photonuclear/.
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Truett, L., and T. Yow. A study of auditing methodologies for the Energy Information Administration data collection and processing system quality assessment program. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5318803.

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Bauer, Andrew, James Forsythe, Jayanarayanan Sitaraman, Andrew Wissink, Buvana Jayaraman, and Robert Haehnel. In situ analysis and visualization to enable better workflows with CREATE-AV™ Helios. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40846.

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The CREATE-AV™ Helios CFD simulation code has been used to accurately predict rotorcraft performance under a variety of flight conditions. The Helios package contains a suite of tools that contain almost the entire set of functionality needed for a variety of workflows. These workflows include tools customized to properly specify many in situ analysis and visualization capabilities appropriate for rotorcraft analysis. In situ is the process of computing analysis and visualization information during a simulation run before data is saved to disk. In situ has been referred to with a variety of te
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Salter, R., Quyen Dong, Cody Coleman, et al. Data Lake Ecosystem Workflow. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40203.

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The Engineer Research and Development Center, Information Technology Laboratory’s (ERDC-ITL’s) Big Data Analytics team specializes in the analysis of large-scale datasets with capabilities across four research areas that require vast amounts of data to inform and drive analysis: large-scale data governance, deep learning and machine learning, natural language processing, and automated data labeling. Unfortunately, data transfer between government organizations is a complex and time-consuming process requiring coordination of multiple parties across multiple offices and organizations. Past succ
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