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Relevant bibliographies by topics / Data extractions

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Academic literature on the topic 'Data extractions'

Author: Grafiati

Published: 25 June 2021

Last updated: 29 July 2025

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Journal articles on the topic "Data extractions"

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Hamasha, Abed Al-Hadi, Mansour Ali Al Qudah, Anwar Barakat Bataineh, and Rima Ahmad Safadi. "Reasons for Third Molar Teeth Extraction in Jordanian Adults." Journal of Contemporary Dental Practice 7, no. 5 (2006): 88–95. http://dx.doi.org/10.5005/jcdp-7-5-88.

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Abstract Aims To assess reasons for third molar teeth extractions in a sample of Jordanian dental patients and to evaluate the association of extractions with other independent variables. Methods and Materials The study sample was comprised of dental patients in North Jordan who had third molar extractions. Data were collected from 36 dentists who were instructed to administer questionnaires to their adult patients undergoing third molar extractions and then to record the primary reason for those extractions. The data in this study was analyzed using a descriptive summary and chi square statis

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Brown, Ron H., and Irene Mueller-harvey. "Evaluation of the Novel Soxflo Technique for Rapid Extraction of Crude Fat in Foods and Animal Feeds." Journal of AOAC INTERNATIONAL 82, no. 6 (1999): 1369–74. http://dx.doi.org/10.1093/jaoac/82.6.1369.

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Abstract The new Soxflo instrument was evaluated for the determination of crude fat in foods and animal feeds. Samples are packed into small columns and extracted with petroleum ether at room temperature. The Soxflo yielded accurate data from foods, ranging from 0.4 to 73.2% crude fat, compared with Soxhlet extractions and Certified Reference Materials, for which recoveries averaged 99.7 and 100.7%, respectively. Relative standard deviations (1.81 %) were approximately half those of Soxhlet extractions (3.68%). Regression analysis of the data suggested that there was no proportional bias. A sm

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Manya Suresh, Dhanraj Ganapathy, and Nivethigaa B. "Prevalence of full mouth extraction among patients visiting a dental college - A retrospective analysis." International Journal of Research in Pharmaceutical Sciences 11, SPL4 (2020): 660–64. http://dx.doi.org/10.26452/ijrps.v11ispl4.4014.

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Extraction of teeth is one of the most common procedures carried out in dental clinics. This study was done to assess the prevalence of full mouth extraction among patients visiting a dental college. A review of the records of patients who had undergone tooth extraction in Saveetha Dental College between June 2019 to March 2020 was retrieved. Data was then analyzed for patients who had undergone full mouth extractions. Data was cross-tabulated based on gender. A total of 4539 patients had undergone extractions. Most of the patients were above the age of 40. There was a slightly higher predilec

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Amankwah, Ernest K., and Bradley Taylor. "92 Honest Broker Tool to Automate Data Extraction from Clinical Research Data Warehouse." Journal of Clinical and Translational Science 8, s1 (2024): 24–25. http://dx.doi.org/10.1017/cts.2024.90.

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OBJECTIVES/GOALS: To describe an Honest Broker (HB) tool and workflow integrated with the Institutional Review Board (IRB) to automate requests, approvals and delivery of both de-identified and identified data extractions from a clinical research data warehouse (CRDW). METHODS/STUDY POPULATION: The HB tool has predefined domain tables and is closely integrated IRB for quick and easy review and approval. Investigators can access patient data using query tools, barcodes from biospecimens or build a query in TriNetX and provide the patient list as an input for the HB tool. For de-identified data

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Pujara, Jay, Hui Miao, Lise Getoor, and William W. Cohen. "Using Semantics and Statistics to Turn Data into Knowledge." AI Magazine 36, no. 1 (2015): 65–74. http://dx.doi.org/10.1609/aimag.v36i1.2568.

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Many information extraction and knowledge base construction systems are addressing the challenge of deriving knowledge from text. A key problem in constructing these knowledge bases from sources like the web is overcoming the erroneous and incomplete information found in millions of candidate extractions. To solve this problem, we turn to semantics — using ontological constraints between candidate facts to eliminate errors. In this article, we represent the desired knowledge base as a knowledge graph and introduce the problem of knowledge graph identification, collectively resolving the entiti

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Cahen, P. M., R. M. Frank, and J. C. Turlot. "A Survey of the Reasons for Dental Extractions in France." Journal of Dental Research 64, no. 8 (1985): 1087–93. http://dx.doi.org/10.1177/00220345850640081401.

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3516 French dentists, selected at random, were asked to record every tooth they extracted during January, 1984. They were also asked to give the reason for extraction in each case. These were assigned to eight groups: caries, periodontal diseases, eruption problems, prosthetics, trauma, orthodontics, occlusal problems, and other reasons. Data were received from 910 dentists (25.3%) relating to a total of 14,621 extractions. Overall, caries was the most frequent cause for extraction (49%), followed by periodontal diseases (32.4%) and orthodontics (8.4%). In the age group under 50, dental caries

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Josely, Manga Ambassa Parfait, Lowe Nantchouang Jacqueline, and Bengondo Messanga Charles. "Prevalence of Dental Extractions in Orthodontic Treatment in Two Cities in Cameroon." Saudi Journal of Oral and Dental Research 10, no. 07 (2025): 286–92. https://doi.org/10.36348/sjodr.2025.v10i07.002.

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Dental extraction is a therapeutic act consisting of removing the tooth from its socket. In orthodontics, dental extraction, even healthy ones, holds an important place in the current therapeutic arsenal. However, it is a source of many controversies. As data related to orthodontic extractions are scarce in our context, we proposed to undertake this study whose objective was to determine the prevalence of dental extractions in orthodontic treatment. We carried out a cross-sectional and descriptive study over a period of 08 months in five dental clinics in the cities of Yaounde and Douala. Pati

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Brunello, Giulia, Marleen De Biagi, Giulia Crepaldi, Fernanda Izaura Rodrigues, and Stefano Sivolella. "An Observational Cohort Study on Delayed-Onset Infections after Mandibular Third-Molar Extractions." International Journal of Dentistry 2017 (2017): 1–5. http://dx.doi.org/10.1155/2017/1435348.

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Objectives. The purpose of the present study was to investigate the occurrence and clinical features of delayed-onset infections after mandibular third-molar extractions. Method and Materials. An observational cohort study was conducted on 179 patients undergoing mandibular third-molar extraction between January 2013 and December 2015, for a total of 217 extractions. Data were recorded at the time of extraction (T0), on suture removal seven days later (T1), and 30 days after the extraction, when patients were contacted and asked about their healing process (T2). The statistical analysis was pe

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Rostaman, Tia, L. Anggria, and A. Kasno. "CALIBRATION OF SOIL NUTRIENT MEASUREMENTS WITH MULTIPLE EXTRACTIONS USING INDUCTIVELY COUPLED PLASMA (ICP)." Agric 34, no. 2 (2022): 183–96. http://dx.doi.org/10.24246/agric.2022.v34.i2.p183-196.

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Inductively Coupled Plasma (ICP) instrument is a tool used to measure nutrients in the soil, plants, fertilizers, and water, good measurement requires a specific extraction. This study was conducted from March to November 2013 at the Soil Testing and Research Laboratory, Indonesian Soil Research Institute. The soils were collected from the Banten, West Java, and Central Java. The experiment was carried out by the statistical method of two means. The soil used was 100 g of wind-dried soil, which was analyzed by extracting Morgan Venema, Wet Ashing HNO3 and HClO4, Morgan Wolf. The observation wa

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Alluru, Deepika, Venkata Subhash Andey, Chandrasekhar Lingamallu, and Sindhoori Patnam. "Age and gender distribution of patients undergoing teeth extraction: a retrospective study in a tertiary health care centre." International Journal of Research in Medical Sciences 10, no. 3 (2022): 614. http://dx.doi.org/10.18203/2320-6012.ijrms20220388.

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Background: Tooth extraction remains a major commonly performed procedure in developing countries. Tooth loss affects mastication, speech, aesthetics and impairs the quality of life. The number of extracted teeth can serve as an indicator for socioeconomic status or oral hygiene level. It is essential to provide awareness regarding oral hygiene maintenance and early detection of dental problems to minimise extractions. The aim of the study was to investigate the age and gender distribution of patients undergoing extraction of teeth at GVPIHC and MT, Visakhapatnam, Andhra Pradesh.Methods: In th

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Dissertations / Theses on the topic "Data extractions"

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Minh, Tuan Pham, Tomohiro Yoshikawa, Takeshi Furuhashi, and Kaita Tachibana. "Robust feature extractions from geometric data using geometric algebra." IEEE, 2009. http://hdl.handle.net/2237/13896.

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Dou, Lixin. "Applications of Bayesian inference methods to time series data analysis and hyperfine parameter extractions in Mossbauer spectroscopy." Thesis, University of Ottawa (Canada), 1999. http://hdl.handle.net/10393/8483.

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The Bayesian statistical inference theory is studied and applied to two problems in applied physics: spectral analysis and parameter estimation in time series data and hyperfine parameter extraction in Mossbauer spectroscopy. The applications to spectral analysis and parameter estimation for both single- and multiple-frequency signals are presented in detail. Specifically, the marginal posterior probabilities for the amplitudes and frequencies of the signals are obtained by using Gibbs sampling without performing the integration, no matter whether the variance of the noise is known or unknown.

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Dou, Lixin. "Applications of Bayesian inference methods to time series data analysis and hyperfine parameter extractions in Mössbauer spectroscopy." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0020/NQ45170.pdf.

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Shakir, Amer, Muhammad Hammad, and Muhammad Kamran. "Comparative Analysis & Study of Android/iOS MobileForensics Tools." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44797.

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This report aims to draw a comparison between two commercial mobile forensics and recovery tools, Magnet AXIOM and MOBILedit. A thorough look at previously done studies was helpful to know what aspects of the data extractions must be compared and which areas are the most important ones to focus upon. This work focuses on how the data extracted from one tool compares with another and provides comprehensive extraction based on different scenarios, circumstances, and aspects. Performances of both tools are compared based on various benchmarks and criteria. This study has helped establish that MOB

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Sottovia, Paolo. "Information Extraction from data." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/242992.

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Data analysis is the process of inspecting, cleaning, extract, and modeling data with the intention of extracting useful information in order to support users in their decisions. With the advent of Big Data, data analysis was becoming more complicated due to the volume and variety of data. This process begins with the acquisition of the data and the selection of the data that is useful for the desiderata analysis. With such amount of data, also expert users are not able to inspect the data and understand if a dataset is suitable or not for their purposes. In this dissertation, we focus on five

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Sottovia, Paolo. "Information Extraction from data." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/242992.

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Data analysis is the process of inspecting, cleaning, extract, and modeling data with the intention of extracting useful information in order to support users in their decisions. With the advent of Big Data, data analysis was becoming more complicated due to the volume and variety of data. This process begins with the acquisition of the data and the selection of the data that is useful for the desiderata analysis. With such amount of data, also expert users are not able to inspect the data and understand if a dataset is suitable or not for their purposes. In this dissertation, we focus on five

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Raza, Ali. "Test Data Extraction and Comparison with Test Data Generation." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/982.

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Testing an integrated information system that relies on data from multiple sources can be a challenge, particularly when the data is confidential. This thesis describes a novel test data extraction approach, called semantic-based test data extraction for integrated systems (iSTDE) that solves many of the problems associated with creating realistic test data for integrated information systems containing confidential data. iSTDE reads a consistent cross-section of data from the production databases, manipulates that data to obscure individual identities while still preserving overall semantic da

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Thelen, Andrea. "Optimized surface extraction from holographic data." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980418798.

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Zhou, Yuanqiu. "Generating Data-Extraction Ontologies By Example." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1115.pdf.

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Wackersreuther, Bianca. "Efficient Knowledge Extraction from Structured Data." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-138079.

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Books on the topic "Data extractions"

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Frank, Lemke, ed. Self-organising data mining: Extracting knowledge from data. J.-A. Müller, 2000.

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Mendelssohn, Roy. Comprehensive Ocean Data Set Extraction: User's guide. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southwest Fisheries Science Center, 1996.

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Kipps, James R. Extracting tactical data from operation orders. Rand, 1992.

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Ouyahia, Lamine. Extracting data from several web sites. Oxford Brookes University, 2002.

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Church of Jesus Christ of Latter-Day Saints., ed. Family record extraction. Church of Jesus Christ of Latter-day Saints, 1993.

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Zhang, Wei Emma, and Quan Z. Sheng. Managing Data From Knowledge Bases: Querying and Extraction. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94935-2.

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Smedley, Ruth. Extracting hospital inpatient data for health boards. The Author], 2003.

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Bonneau, Georges-Pierre, Thomas Ertl, and Gregory M. Nielson, eds. Scientific Visualization: The Visual Extraction of Knowledge from Data. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-30790-7.

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Lee, Chulhee. Feature extraction and classification algorithms for high dimensional data. School of Electrical Engineering, Purdue University, 1993.

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Canadian Institute of Chartered Accountants., ed. Interactive Data Extraction and Analysis, version 4.0: User's manual. Canadian Institute of Chartered Accountants, 1990.

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Book chapters on the topic "Data extractions"

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Marabelli, Marco. "Data Extractions and Extractors." In AI, Ethics, and Discrimination in Business. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-53919-0_2.

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Gupta, Rajeev. "Generic Key Value Extractions from Emails." In Big Data Analytics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66665-1_13.

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Cardwell, Kevin. "Extractions of Forensics Data with Wireshark." In Tactical Wireshark. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9291-4_11.

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Lohrum, Mark. "Forensic Extractions of Data from the Nokia N900." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35515-8_21.

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Lohrum, Mark. "Forensic Extractions of Data from the Nokia N900." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35515-8_8.

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Mishra, Pradeepta. "Data Augmentation, Feature Engineering, and Extractions for Image and Audio." In PyTorch Recipes. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8925-9_9.

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Ponniah, Anbumunee, and Swati Agarwal. "WDA: A Domain-Aware Database Schema Analysis for Improving OBDA-Based Event Log Extractions." In Advanced Data Mining and Applications. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-22137-8_22.

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Bais, Abhijeet Singh, and Navneet Sharma. "Generative AI Document Extractions Using Composite Approach: An External Data Integration." In The AI Revolution: Driving Business Innovation and Research. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54383-8_31.

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Kuo, Bor-Chen, and Kuang-Yu Chang. "Regularized Feature Extractions and Support Vector Machines for Hyperspectral Image Data Classification." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552413_125.

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Wang, Haiyang, Xin Song, Yujia Liu, ChenGuang Chen, and Bin Zhou. "A Meta-path Based Graph Convolutional Network with Multi-scale Semantic Extractions for Heterogeneous Event Classification." In Advances in Knowledge Discovery and Data Mining. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75762-5_37.

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Conference papers on the topic "Data extractions"

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Liu, Dejang. "Business Intelligence Tools for Data Extractions Transformations and Visualizations." In 2024 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 2024. http://dx.doi.org/10.1109/isncc62547.2024.10758993.

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Mutinda, Faith, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya, and Eiji Aramaki. "PICO Corpus: A Publicly Available Corpus to Support Automatic Data Extraction from Biomedical Literature." In Proceedings of the first Workshop on Information Extraction from Scientific Publications. Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.wiesp-1.4.

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Zhang, Tianlun, Guofang Zhang, Guoqiang Yang, Chen Cui, Shaoshi Shen, and Ye Xia. "A Natural Language Processing-based Approach to Bridge Structure Information Extraction." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.1539.

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<p>As transportation infrastructure continues to develop and age, ensuring the safety and stability of bridges is a growing concern. Bridge inspection reports contain a large amount of detailed information about the structural attributes and condition ratings of bridges. However, these reports are usually presented in an unstructured textual format, making manually extracting valuable information from them time-consuming and error-prone. Thus, efficient and accurate extraction of inspection data has become the key to improving bridge management. In this paper, an information extraction m

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Bisht, Anupam, Marzieh Omidi, Amirreza Hosseini, and Kartikeya Murari. "A data-driven approach for extracting oxygen saturation from in-vivo fiber photometry data." In Bio-Optics: Design and Application. Optica Publishing Group, 2025. https://doi.org/10.1364/boda.2025.jm4a.9.

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Oxygen saturation (% sO2) extraction from spectrally-resolved diffuse reflectance spectroscopy is performed through non-linear least square fitting. We present a data-driven approach to extract % sO2 and demonstrate its usage for partial-spectra % sO2 extraction.

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Freydenberger, Dominik D., Benny Kimelfeld, and Liat Peterfreund. "Joining Extractions of Regular Expressions." In SIGMOD/PODS '18: International Conference on Management of Data. ACM, 2018. http://dx.doi.org/10.1145/3196959.3196967.

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Pham, Minh Tuan, Tomohiro Yoshikawa, Takeshi Furuhashi, and Kanta Tachibana. "Robust feature extractions from geometric data using geometric algebra." In 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2009. http://dx.doi.org/10.1109/icsmc.2009.5346869.

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Higinbotham, Douglas. "Extractions of the Proton Radius From Electron Scattering Data." In APS Southeastern Section (84th Annual Meeting), Milledgeville, GA, November 16, 2017. US DOE, 2017. http://dx.doi.org/10.2172/1985978.

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Jitkongchuen, Duangjai, Warabhom Pima, and Amarita Ritthipakdee. "Fraudulent Transactions Predictions using Ensemble Method with Features Extractions Techniques." In 2021 2nd International Conference on Big Data Analytics and Practices (IBDAP). IEEE, 2021. http://dx.doi.org/10.1109/ibdap52511.2021.9552160.

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Zheng, Gangtie, and Fai Ma. "Acoustic Emission: Data Analysis and Applications." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14664.

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Abstract Some applications and state-of-art of acoustic emission techniques are introduced in the present paper through an overview of publications in acoustic emission techniques. Attention is given to applications of acoustic emission techniques to the condition monitoring and damage feature extractions of reinforced concrete structures. With the use of numerical examples, major acoustic emission signal processing methods such as the wavelet transform, the Gabor transform, the bilinear time-frequency distribution, and the cepstral analysis are discussed.

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Trovati, Marcello, Philip Hodgson, Charlotte Hargreaves, Andrew David Baker, Lu Liu, and Nik Bessis. "Dependency Networks Extractions from Textual Sources in Criminology: An Initial Implementation." In 2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService). IEEE, 2016. http://dx.doi.org/10.1109/bigdataservice.2016.19.

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Reports on the topic "Data extractions"

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McLean, Michael L., Newsom Sr., and Benjamin. Extractions of Garment Manufacturing Data from 3D Whole Body Scans. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada347501.

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Gates, Allison, Michelle Gates, Shannon Sim, Sarah A. Elliott, Jennifer Pillay, and Lisa Hartling. Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodscreatingefficiencies.

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Background. Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We prospectively evaluated an online machine learning and text mining tool’s ability to (a) automatically extract data elements from randomized trials, and (b) save time compared with manual extraction and verification. Methods. For 75 randomized trials published in 2017, we manually extracted and verified data for 21 unique data elements. We uploaded the randomized trials to ExaCT, an online machine learning and text mining tool, and quantified performance by evaluati

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Yu, Winifred, Elise Digga, Courtney Luterbach, et al. Association Between Outcomes and Dental Services in People Receiving Treatments That Cause Medication-Related Osteonecrosis of the Jaw: A Rapid Response Review. AHRQ, 2025. https://doi.org/10.23970/ahrqepc_rapid_dental_jaw.

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This review is undertaken to answer the following questions: Key Question 1: What is the effectiveness of dental services in improving health outcomes in people receiving treatments that cause medication-related osteonecrosis of the jaw (MRONJ) before, during, or after treatment with bisphosphonates, antiangiogenics, and other drugs for conditions other than cancer? Key Question 2: What are the clinical practice guidelines or standards for dental care for people receiving treatments that cause MRONJ? Key Messages: The body of evidence informing KQ1 consists of two randomized clinical trials (R

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Griffin, Andrew, Sean Griffin, Kristofer Lasko, et al. Evaluation of automated feature extraction algorithms using high-resolution satellite imagery across a rural-urban gradient in two unique cities in developing countries. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40182.

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Feature extraction algorithms are routinely leveraged to extract building footprints and road networks into vector format. When used in conjunction with high resolution remotely sensed imagery, machine learning enables the automation of such feature extraction workflows. However, many of the feature extraction algorithms currently available have not been thoroughly evaluated in a scientific manner within complex terrain such as the cities of developing countries. This report details the performance of three automated feature extraction (AFE) datasets: Ecopia, Tier 1, and Tier 2, at extracting

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Gallis, Michail A., and Edward Stanley Piekos. Accelerating DSMC data extraction. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/922066.

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Nurre, Joseph H. Automate Information Extraction from Scan Data. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada362095.

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Toutin, Th. Road Extraction from Stereo RADARSAT Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/219519.

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Farrar, Charles. Extraction of Vibration Data with Imaging. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2367472.

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Zelenskyi, Arkadii A. Relevance of research of programs for semantic analysis of texts and review of methods of their realization. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2884.

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One of the main tasks of applied linguistics is the solution of the problem of high-quality automated processing of natural language. The most popular methods for processing natural-language text responses for the purpose of extraction and representation of semantics should be systems that are based on the efficient combination of linguistic analysis technologies and analysis methods. Among the existing methods for analyzing text data, a valid method is used by the method using a vector model. Another effective and relevant means of extracting semantics from the text and its representation is

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Youtsey, Wesley J., and Robert L. Woodyard. Bathymetric Data Set Extraction Program. Users Guide. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada274761.

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