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Готові списки джерел за темами / Extraction System

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Добірка наукової літератури з теми "Extraction System"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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Статті в журналах з теми "Extraction System"

1

Kalpana, Dr Y. Baby, Sneha B, Sumithkanth G, Thirumurugan G, Veeramadhumitha P, and Vishnu Vardhan A. "Mark Extraction System." International Journal of Research Publication and Reviews 6, no. 5 (2025): 10556–62. https://doi.org/10.55248/gengpi.6.0525.1880.

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2

Zhang, Qian-Wen, Zhao Yan, Tianyang Zhao, et al. "MMKE: A Multi-Model Knowledge Extraction System from Unstructured Texts." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (2021): 16124–26. http://dx.doi.org/10.1609/aaai.v35i18.18032.

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In this work, we present a Multi-Model Knowledge Extraction (MMKE) System which consists of two unstructured text extraction models (RelationSO model and SubjectRO model) based on a multi-task learning framework. Instead of recognizing entity first and then predicting relationships between entity pairs in previous works, MMKE detects subject and corresponding relationships before extracting objects to cope with the diverse object-type problem, overlapping problem and non-predefined relation problem. Our system accepts unstructured text as input, from which it automatically extracts triplets kn

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3

Chenchev, Lyubomir, Vasilena Ivanova, Krikor Giragosyan, Tasho Gavrailov, and Ivan Chenchev. "Minimally Invasive Extraction System Benex—Clinical Evaluation and Comparison." Dentistry Journal 12, no. 8 (2024): 234. http://dx.doi.org/10.3390/dj12080234.

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Tooth extraction is one of the oldest and most well-known surgical procedures in dental medicine. It is still routinely performed by general practitioners and dental undergraduates. The Benex extraction system allows for the extraction of teeth in a vertical direction, which avoids most trauma against surrounding alveolar bone and soft tissues. The study included 56 patients who were recruited from the Department of Oral Surgery, Medical University—Plovdiv. The patients were split into two groups of 28 patients—Group I (control group) and Group II (study group). For each group, the success of

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4

Lessard, Denis, and John H. Burrows. "Method for extraction, extraction cartridge and automated extraction processing system." Laboratory Automation & Information Management 33, no. 2 (1997): 141. http://dx.doi.org/10.1016/s1381-141x(97)80011-1.

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5

Gutierrez, Fernando, Dejing Dou, Stephen Fickas, Daya Wimalasuriya, and Hui Zong. "A hybrid ontology-based information extraction system." Journal of Information Science 42, no. 6 (2016): 798–820. http://dx.doi.org/10.1177/0165551515610989.

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Анотація:

Information Extraction is the process of automatically obtaining knowledge from plain text. Because of the ambiguity of written natural language, Information Extraction is a difficult task. Ontology-based Information Extraction (OBIE) reduces this complexity by including contextual information in the form of a domain ontology. The ontology provides guidance to the extraction process by providing concepts and relationships about the domain. However, OBIE systems have not been widely adopted because of the difficulties in deployment and maintenance. The Ontology-based Components for Information

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6

Puyda, Volodymyr. "Surf Features Extraction in a Computer Vision System." Advances in Cyber-Physical Systems 2, no. 1 (2017): 29–31. http://dx.doi.org/10.23939/acps2017.01.029.

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7

Wu, Hai, Li Guo Tian, Shan Hu, Zhi Liang Chen, and Meng Li. "Detection System on Weak Electrical Signal in Plants." Applied Mechanics and Materials 427-429 (September 2013): 2037–40. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2037.

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To achieve the accurate extraction and characteristics analysis of electrical signal in plants, the system was developed for detecting and extracting weak electrical signal in plants. As experimental platform for the extraction and detection of plants electric signal, training experiment system on the growth of plants, had done the experiments of extraction and feature analysis on plants electric signal by it, described in detail the extraction and analysis process of plants electrical signal, and also discussed the methods of anti-interference process for the system. The system construction i

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8

Rukiah, Bunga Ayub, Amalia Oeripto, and Nurhayati Harahap. "A Comparison of class I malocclusion treatment outcomes with and without extractions using an ABO grading system for dental casts and radiographs." Dental Journal (Majalah Kedokteran Gigi) 50, no. 3 (2018): 144. http://dx.doi.org/10.20473/j.djmkg.v50.i3.p144-148.

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Background: Class I malocclusion can be treated with or without resort to extraction. However, despite the indications, a controversy is still ongoing as to whether one option is preferable to another. One of the most frequent controversies centers on whether treatment involving extractions will produce superior results than treatment not culminating in extraction. Purpose: This study aimed to compare the results of treating class I malocclusion with extractions and those without extraction using an ABO grading system. Methods: Comparing ABO scores in patients’ dental casts and radiographs wit

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9

Mohamed Ali El-Morsy, Sally, Mahmoud Hussein, and Hamdy M. Mousa. "Arabic open information extraction system using dependency parsing." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (2022): 541. http://dx.doi.org/10.11591/ijece.v12i1.pp541-551.

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<p>Arabic is a Semitic language and one of the most natural languages distinguished by the richness in morphological enunciation and derivation. This special and complex nature makes extracting information from the Arabic language difficult and always needs improvement. Open information extraction systems (OIE) have been emerged and used in different languages, especially in English. However, it has almost not been used for the Arabic language. Accordingly, this paper aims to introduce an OIE system that extracts the relation tuple from Arabic web text, exploiting Arabic dependency parsi

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10

Sally, Mohamed Ali El-Morsy, Hussein Mahmoud, and M. Mousa Hamdy. "Arabic open information extraction system using dependency parsing." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (2022): 541–51. https://doi.org/10.11591/ijece.v12i1.pp541-551.

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Анотація:

Arabic is a Semitic language and one of the most natural languages distinguished by the richness in morphological enunciation and derivation. This special and complex nature makes extracting information from the Arabic language difficult and always needs improvement. Open information extraction systems (OIE) have been emerged and used in different languages, especially in English. However, it has almost not been used for the Arabic language. Accordingly, this paper aims to introduce an OIE system that extracts the relation tuple from Arabic web text, exploiting Arabic dependency parsing and th

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Дисертації з теми "Extraction System"

1

Sukhahuta, Rattasit. "Information extraction system for Thai documents." Thesis, University of East Anglia, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368173.

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2

Mei, Zhijie. "Computer-Aided Optically Scanned Document Information Extraction System." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39190.

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This paper introduced a Computer-Aided Optically Scanned Document Information Extraction System. It could extract information including invoice No., issued date, buyer, etc., from the optically scanned document to meet the demand of customs declaration companies. The system output the structured information to a relational database. In detail, a software architecture for the information extraction of diverse-structure optically scanned document is designed. In this system, the original document is classified firstly. It would put into template-based extraction to improve the extraction perform

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3

Sherrah, Jamie. "Automatic feature extraction for pattern recognition /." Title page, contents and abstract only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phs553.pdf.

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Thesis (Ph. D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1999.<br>CD-ROM in back pocket comprises experimental results and executables. Includes bibliographical references (p. 251-261).

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4

Fahimi, Farshad. "A feature extraction system for human surveillance." Thesis, University of Portsmouth, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507157.

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5

Rankin, D. "Extraction of features from speech spectra." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373541.

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6

Wixted, Andrew James. "In-situ Athlete Monitoring: Data Collection, Interpretation & Feature Extraction." Thesis, Griffith University, 2007. http://hdl.handle.net/10072/365884.

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Abstract :The original core question of this thesis related to the real-time wireless collection of data from teams of athletes, in essence a technology - engineering issue. However, as time progressed, more fundamental questions evolved: What data is being collected, what does the data mean and how should it be interpreted? This question lies on the intersection of human movement studies, in the form of biomechanical & physiological sports science, and digital signal processing. The key biomechanical and physiological questions also feed back into the original real-time data collection issue.

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7

Wessman, Alan E. "A Framework for Extraction Plans and Heuristics in an Ontology-Based Data-Extraction System." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd684.pdf.

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Pan, Wendy. "A simulated shape recognition system using feature extraction /." Online version of thesis, 1989. http://hdl.handle.net/1850/10496.

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Violato, Gustavo Oliveira. "Nonlinear adaptive control system for payload extraction operations." Instituto Tecnológico de Aeronáutica, 2012. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2239.

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This work covers the development of a nonlinear, adaptive control system for payload extraction operations. Load extractions are a critical type of maneuver which could make the longitudinal flight dynamics unstable. The online adaptation control strategy seems adequate for the problem, since it can deal with the drift in the plant parameters caused by the movement of the load inside the aircraft. The effects of a continuously varying C.G. position on the longitudinal flight dynamics are modeled in detail. The controller proposed consists on applying the technique of nonlinear inversion couple

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10

Ellner, Henrik. "Facial animation parameter extraction using high-dimensional manifolds." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6117.

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<p>This thesis presents and examines a method that can potentially be used for extracting parameters from a manifold in a space. In the thesis the method is presented, and a potential application is described. The application is determining FAP-values. FAP-values</p><p>are used for parameterizing faces, which can e.g. be used to compress data when sending video sequences over limited bandwidth.</p>

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Книги з теми "Extraction System"

1

Risk Reduction Engineering Laboratory (U.S.), ed. CF Systems organics extraction system, New Bedford, Massachusetts. Risk Reduction Engineering Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1990.

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2

Risk Reduction Engineering Laboratory (U.S.), ed. CF Systems organics extraction system, New Bedford, Massachusetts. Risk Reduction Engineering Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1990.

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3

Risk Reduction Engineering Laboratory (U.S.), ed. CF Systems organics extraction system, New Bedford, Massachusetts. Risk Reduction Engineering Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1990.

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4

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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5

Ward, Thomas E. Kinetic data extraction and analysis system for human gait. University College Dublin, 1996.

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6

Inc, Foster Wheeler Enviresponse, ed. Terra Vac in situ vacuum extraction system: Applications analysis report. Risk Reduction Engineering Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1989.

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7

E, Bosilovich Brian, Kardos Nicholas J, and Superfund Innovative Technology Evaluation Program (U.S.), eds. Acid extraction treatment system for treatment of metal contaminated soils. U.S. Environmental Protection Agency, Superfund Innovative Technology Evaluation, 1994.

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8

Iliff, Kenneth W. Extraction of aerodynamic parameters for aircraft at extreme flight conditions. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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9

Facility, Dryden Flight Research, ed. Extraction of aerodynamic parameters for aircraft at extreme flight conditions. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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10

Iliff, Kenneth W. Extraction of aerodynamic parameters for aircraft at extreme flight conditions. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

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Частини книг з теми "Extraction System"

1

Wang, Feng-Hsing, Kang K. Yen, Lakhmi C. Jain, and Jeng-Shyang Pan. "Shadow Watermark Extraction System." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552451_154.

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2

Baumgartner, Robert, Wolfgang Gatterbauer, and Georg Gottlob. "Web Data Extraction System." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1154.

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3

Baumgartner, Robert, Wolfgang Gatterbauer, and Georg Gottlob. "Web Data Extraction System." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1154-2.

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4

Baumgartner, Robert, Wolfgang Gatterbauer, and Georg Gottlob. "Web Data Extraction System." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1154.

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5

Palmer, David D., Marc B. Reichman, and Noah White. "Multimedia Information Extraction in a Live Multilingual News Monitoring System." In Multimedia Information Extraction. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118219546.ch9.

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Magoss, Endre, György Sitkei, and Zoltán Kocsis. "System Optimization." In Dust Extraction and Handling in the Wood Industry. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08915-2_8.

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7

Alarcón, Rodrigo, Gerardo Sierra, and Carme Bach. "ECODE: A Definition Extraction System." In Human Language Technology. Challenges of the Information Society. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04235-5_33.

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Astashkin, Sergey V. "Extraction of Lacunary Subsystems." In The Rademacher System in Function Spaces. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47890-2_8.

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Guo, Shuting, Zheng Liu, Wenyan Chen, and Tao Li. "Event Extraction from Streaming System Logs." In Information Science and Applications 2018. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1056-0_47.

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Gupta, Vishal. "A New Punjabi Keywords Extraction System." In Lecture Notes in Electrical Engineering. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1817-3_46.

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Тези доповідей конференцій з теми "Extraction System"

1

Ullrich, Herbert, Tomáš Mlynář, and Jan Drchal. "AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG task." In Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.fever-1.16.

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Inayat, Usman, Rida Ayesha, and Sajid Mahmood. "Improving Intrusion Detection System using Feature Extraction." In 2024 Horizons of Information Technology and Engineering (HITE). IEEE, 2024. https://doi.org/10.1109/hite63532.2024.10777077.

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3

Basaruddin, Nur Atiqa, Bazilah A. Talip, and Shahrinaz Ismail. "kXpert Profiling System using Unsupervised Keyword Extraction." In 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM). IEEE, 2025. https://doi.org/10.1109/imcom64595.2025.10857531.

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4

Xu, Nan, Jiazhi Sui, and Huadong Yang. "Hyperspectral Image Endmember Extraction Algorithm Based on Manifold Learning and Superpixel Feature Extraction." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10653429.

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5

Datta, S., B. R. Choudhuri, and A. Ganguli. "Text extraction system." In Proceedings of the Sixth International Conference of Information Fusion. IEEE, 2003. http://dx.doi.org/10.1109/icif.2003.177409.

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6

Wang, Zhen. "Extraction system for Personal Attributes Extraction of CLP2014." In Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing. Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/w14-6830.

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Sundheim, Beth M. "Information extraction system evaluation." In the workshop. Association for Computational Linguistics, 1993. http://dx.doi.org/10.3115/1075671.1075782.

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Cavenago, Marco. "Ion extraction system optimization." In MULTIDISCIPLINARY APPLICATIONS OF NUCLEAR PHYSICS WITH ION BEAMS (ION BEAMS '12). AIP, 2013. http://dx.doi.org/10.1063/1.4812907.

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Romadhony, Ade, Dwi H. Widyantoro, and Ayu Purwarianti. "Phrase-based clause extraction for open information extraction system." In 2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS). IEEE, 2015. http://dx.doi.org/10.1109/icacsis.2015.7415184.

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Raj, Nikhil, Shiyon Thomas, and Veena G. "Open Information Extraction System For Extracting Relations in Legal Documents." In 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT). IEEE, 2022. http://dx.doi.org/10.1109/gcat55367.2022.9971995.

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Звіти організацій з теми "Extraction System"

1

Shaftan, Timur. Booster Extraction: System Description, Beam Extraction and Possible Fault Conditions. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1505108.

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Russo, Juam M. Light Extraction System for OLED (LESO). Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1483373.

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3

Hahn, H. SNS Extraction Kicker System Impedance Estimate. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/1157317.

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Hahn, H. Impedance Measurements of the SNS Extraction Kicker System. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/1157313.

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Haire, M. J., M. S. Grady, and R. T. Jubin. Availability assessment of a centrifugal contactor solvent extraction system. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/711842.

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Truex, Michael J., Dave Becker, Michelle A. Simon, Martinus Oostrom, Amy K. Rice, and Christian D. Johnson. Soil Vapor Extraction System Optimization, Transition, and Closure Guidance. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1097942.

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7

Tanaka, M. THE NEW FAST EXTRACTION SYSTEM [NewFEB] AT THE AGS. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/1151254.

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Nerode, A., J. B. Remmel, and A. Yakhnis. Hybrid System Extraction of Control Automata with Small Topologies. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada344578.

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Benker, Dennis, Laetitia Helene Delmau, and Joshua Cory Dryman. Extraction of Trivalent Actinides and Lanthanides from Californium Campaign Rework Solution Using TODGA-based Solvent Extraction System. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1394273.

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Nelson, T. O., M. C. Bronson, D. K. Dennison, and B. Flamm. Adanced Recovery and Integrated Extraction System (ARIES). Preconceptual design report. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/374155.

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