Relevant bibliographies by topics / Tracking information

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Tracking information'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Tracking information"

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Kim, Intaek, Malik Muhammad Khan, Tayyab Wahab Awan, and Youngsung Soh. "Multi-Target Tracking Using Color Information." International Journal of Computer and Communication Engineering 3, no. 1 (2014): 11–15. http://dx.doi.org/10.7763/ijcce.2014.v3.283.

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Hu, Wei, Armaiti Ardeshiricham, and Ryan Kastner. "Hardware Information Flow Tracking." ACM Computing Surveys 54, no. 4 (2021): 1–39. http://dx.doi.org/10.1145/3447867.

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Information flow tracking (IFT) is a fundamental computer security technique used to understand how information moves through a computing system. Hardware IFT techniques specifically target security vulnerabilities related to the design, verification, testing, manufacturing, and deployment of hardware circuits. Hardware IFT can detect unintentional design flaws, malicious circuit modifications, timing side channels, access control violations, and other insecure hardware behaviors. This article surveys the area of hardware IFT. We start with a discussion on the basics of IFT, whose foundations
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The Lancet. "Fast-tracking epidemic information." Lancet 348, no. 9042 (1996): 1599. http://dx.doi.org/10.1016/s0140-6736(96)21050-5.

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Henderson, Madeline M. "Tracking nontraditional information systems." Journal of the American Society for Information Science 39, no. 4 (1988): 270–72. http://dx.doi.org/10.1002/(sici)1097-4571(198807)39:4<270::aid-asi6>3.0.co;2-j.

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Khan, Malik M., Tayyab W. Awan, Intaek Kim, and Youngsung Soh. "Tracking Occluded Objects Using Kalman Filter and Color Information." International Journal of Computer Theory and Engineering 6, no. 5 (2014): 438–42. http://dx.doi.org/10.7763/ijcte.2014.v6.905.

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Huang, Jingbo. "Application of Information Processing System Based on DSP in Electronic Information Engineering." Journal of Physics: Conference Series 2209, no. 1 (2022): 012010. http://dx.doi.org/10.1088/1742-6596/2209/1/012010.

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Abstract On the one hand, target tracking technology is widely used in navigation, guidance, alarm and monitoring and other military fields, on the other hand, it is also widely used in civil fields such as traffic information monitoring and security. This paper mainly studies the application of information processing system based on DSP in electronic information engineering. This paper introduces DSP information processing system in detail. Aiming at the comprehensive requirements of real-time and tracking performance of the target tracking system, multi-feature fusion optimization method is
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Willis, Judith B. "Resident Tracking Health Information System." Primary Care: Clinics in Office Practice 12, no. 3 (1985): 497–514. http://dx.doi.org/10.1016/s0095-4543(21)00327-4.

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Lee, Jin-Hyung, Seong-Won Jo, Jae-Min Kim, and Sun-Tae Chung. "Object Tracking Using Information Fusion." Journal of Korean institute of intelligent systems 18, no. 5 (2008): 666–71. http://dx.doi.org/10.5391/jkiis.2008.18.5.666.

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Lentz, Leo. "Eye-tracking and Information Design." Information Design Journal 13, no. 3 (2005): 255–61. http://dx.doi.org/10.1075/idjdd.13.3.12len.

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Grenoble, Lenore. "Discourse Deixis and Information Tracking." Annual Meeting of the Berkeley Linguistics Society 20, no. 1 (1994): 208. http://dx.doi.org/10.3765/bls.v20i1.1447.

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Dissertations / Theses on the topic "Tracking information"

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SHABUNINA, EKATERINA. "Information Evolution Modeling, Tracking and Analyzing in Social Media Streams." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/199007.

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Nei tempi attuali, User Generated Content è la principale fonte di notizie e opinioni in tempo reale sugli avvenimenti mondiali. I Social Media, che servono da ambiente per la creazione e la diffusione di contenuti generati dagli utenti, sono, quindi, rappresentativi della nostra cultura e costituiscono un potenziale tesoro di conoscenza. Pertanto, l'analisi del contenuto diffuso nei social media può portare opportunità senza precedenti a molte aree di ricerca e applicazione. Questa questione è stata esplorata da due diversi punti di vista nella prima fase di questa tesi di dottorato. In part
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Dowson, N. D. H. "Simultaneously modelling and tracking using mutual information." Thesis, University of Surrey, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435099.

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McCamant, Stephen. "Quantitative information-flow tracking for real systems." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44903.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 99-105).<br>An information-flow security policy constrains a computer system's end-to-end use of information, even as it is transformed in computation. For instance, a policy would not just restrict what secret data could be revealed directly, but restrict any output that might allow infere
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Russ, John A. S. M. Massachusetts Institute of Technology. "Mutual information based tracking with mobile sensors." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62314.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 125-127).<br>In order to utilize mobile sensor nodes in a sensing and estimation problem, one must carefully consider the optimal placement of those sensor nodes and simultaneously account for the cost incurred in moving the sensor no
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Kelepouris, Thomas. "The value of supply chain tracking information." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611637.

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Shiozawa, Kaymie. "Gaze tracking : seeking critical information for autonomous excavation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123268.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 37-38).<br>Automating excavation in mining and construction applications is crucial today as the supply of skilled operators cannot match market demand. To efficiently make control decisions for autonomous excavators without having to take in all visual inputs from a typical operator's field of view, gaze tracking is employed in solely extracting key visual information that skilled operators use in the field. Both
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Suppitaksakul, Chatchai. "Pedestrian detection and tracking." Thesis, Northumbria University, 2006. http://nrl.northumbria.ac.uk/488/.

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This report presents work on the detection and tracking of people in digital images. The employed detection technique is based on image processing and classification techniques. The work uses an object detection process to detect object candidate locations and a classification method using a Self-Organising Map neural network to identify the pedestrian head positions in an image. The proposed tracking technique with the support of a novel prediction method is based on the association of Cellular Automata (CA) and a Backpropagation Neural Network (BPNN). The tracking employs the CA to capture t
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Rajagopal, Abhejit, Vincent Radzicki, Shivkumar Chandrasekaran, and Hua Lee. "TRACKING INFORMATION IN SAR IMAGE FORMATION AND CLASSIFICATION ALGORITHMS." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/626979.

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Traditional target detection pipelines involve two sequential steps: the formation of a range-profile or likely-image, and the classification of likely targets within that image. Although it has been shown that target tracking in the RaDAR image-domain can be unnecessarily noisy, with more accurate and efficient implementations involving a direct analysis of the measured wavefield, image formation remains a desirable output in many applications due to its highly descriptive and interpretable nature. In this paper, we outline a mechanism for formalizing and accelerating this procedure in
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Gong, Ming M. Eng Massachusetts Institute of Technology. "Information tracking and sharing in organic photovoltaic panel manufacturing." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/69488.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 76-77).<br>The MIT MEng team of four worked with Konarka Technologies, a world leading organic solar panel manufacturer, on production tracking and analysis as well as various operational improvement projects. MIT's collaborative improvement projects at Konarka's manufacturing facility were focused on information system and operations in the finishing processes after solar panels have been coated. This thesis report,
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Tedori, Veronica. "Design of a safety management information and tracking system." Master's thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-03302010-020341/.

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Books on the topic "Tracking information"

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author, Uprety Amit, Sigdel Santosh editor, Wiele Quincy editor, and Citizens' Campaign for Right to Information (Kathmandu, Nepal), eds. RTI application tracking survey report 2012. Citizens' Campaign for Right to Information, 2013.

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Richard, Brown. Public information and records tracking: Information you can use. P.I.R.T. Associates, 1990.

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van Gijn, Rik, Jeremy Hammond, Dejan Matić, Saskia van Putten, and Ana Vilacy Galucio, eds. Information Structure and Reference Tracking in Complex Sentences. John Benjamins Publishing Company, 2014. http://dx.doi.org/10.1075/tsl.105.

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1961-, Allan James, ed. Topic detection and tracking: Event-based information organization. Kluwer Academic Publishers, 2002.

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McAleese, Kieran Peter. Qual ity assurance laboratory tracking information system (QUALTIS). The Author], 1995.

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M, Wightman Pedro, and Perez Alfredo Jose, eds. Location-based information systems: Developing real-time tracking applications. CRC Press, 2010.

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Galt, J. A. Digital distribution standard for NOAA trajectory analysis information. Hazardous Materials Response and Assessment Division, Office of Ocean Resources Conservation and Assessment, National Oceanic and Atmospheric Administration, 1996.

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Environmental Systems Research Institute (Redlands, California), ed. Using ArcGIS tracking analyst: GIS by ESRI. Environmental Systems Research Institute, 2003.

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Environmental Systems Research Institute (Redlands, Calif.), ed. Using ArcGIS tracking analyst: GIS by ESRI. Environmental Systems Research Institute, 2002.

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Yang, Zhufang. Multiple-model tracking with fixed-lag smoothing using imprecise information. University of Birmingham, 2002.

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Book chapters on the topic "Tracking information"

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van Benthem, Johan. "Tracking Information." In Outstanding Contributions to Logic. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29300-4_17.

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Nair, Premchand S. "Information Source Tracking." In Uncertainty in Multi-Source Databases. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-37099-4_7.

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Kirli, Zeliha Dilsun. "Distributed Call-Tracking." In Advances in Information Security. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1007-9_3.

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Koch, Wolfgang. "Integration of Topographical Information." In Tracking and Sensor Data Fusion. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39271-9_9.

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Schmücker, Dirk, Friedericke Kuhn, and Eric Horster. "Acquiring Sustainability Information in Holiday Travel." In Eye Tracking in Tourism. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49709-5_11.

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Geist, Matthieu, Olivier Pietquin, and Gabriel Fricout. "Tracking in Reinforcement Learning." In Neural Information Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10677-4_57.

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Anne, M. Evany, and M. Brindha. "Analysis of Tracking Algorithms for Multi-person Tracking." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-79041-6_11.

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Qi, Man, Denis Edgar-Nevill, Yongquan Wang, and Rongsheng Xu. "Tracking Online Trails." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69403-8_6.

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Mantoro, Teddy, Media A. Ayu, and Amir Borovac. "GPS Based Tracking Framework for Walking Pedestrian." In Informatics Engineering and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25453-6_30.

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Schick, Rainer, and Christoph Ruland. "Data Leakage Tracking – Non-Repudiation of Forwarding." In Informatics Engineering and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25327-0_15.

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Conference papers on the topic "Tracking information"

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Wang, Dan, Feng Li, and Jun Jia. "Information Bottleneck Based Target Tracking Algorithm." In 2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2024. https://doi.org/10.1109/iciscae62304.2024.10761576.

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Coraluppi, Stefano, Noah Jenkins, and Michael Lexa. "Simplified Distributed Tracking." In 2024 27th International Conference on Information Fusion (FUSION). IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706388.

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Liu, Ruixu, Theus H. Aspiras, and Vijayan K. Asari. "Deep neural machine for multimodal information fusion." In Pattern Recognition and Tracking XXXIII, edited by Mohammad S. Alam and Vijayan K. Asari. SPIE, 2022. http://dx.doi.org/10.1117/12.2622315.

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Yun, Sungmin, and Sungho Kim. "Robust infrared target tracking using thermal information in Mean-Shift." In Pattern Recognition and Tracking XXX, edited by Mohammad S. Alam. SPIE, 2019. http://dx.doi.org/10.1117/12.2519191.

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Kovacs, David Levente, Ingrid Jakobi Wolff Madsen, and Dan Witzner Hansen. "Radioactive Eye Information." In ETRA '25: 2025 Symposium on Eye Tracking Research and Applications. ACM, 2025. https://doi.org/10.1145/3715669.3727352.

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Kursun, Olcay, and Oleg V. Favorov. "Suitability of features of deep convolutional neural networks for modeling somatosensory information processing." In Pattern Recognition and Tracking XXX, edited by Mohammad S. Alam. SPIE, 2019. http://dx.doi.org/10.1117/12.2518573.

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Sang, Jun, Shaoli Tian, Jinghan Tan, Mohammad Alam, and Yan Chen. "RA-MISNet: multilevel information sharing network based on residual attention for crowd counting." In Pattern Recognition and Tracking XXXIII, edited by Mohammad S. Alam and Vijayan K. Asari. SPIE, 2022. http://dx.doi.org/10.1117/12.2618271.

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Zhioua, Zeineb, Yves Roudier, Rabéa Ameur Boulifa, Takoua Kechiche, and Stuart Short. "Tracking Dependent Information Flows." In 3rd International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006209301790189.

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Josephson, Sheree, and Michael E. Holmes. "Age differences in visual search for information on web pages." In the Eye tracking research & applications symposium. ACM Press, 2004. http://dx.doi.org/10.1145/968363.968379.

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Kirubarajan, T. "Low observable target motion analysis using amplitude information." In IEE Colloquium on `Algorithms for Target Tracking'. IEE, 1995. http://dx.doi.org/10.1049/ic:19950672.

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Reports on the topic "Tracking information"

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Gorecki, Frank D. Passive Tracking and Information Theory. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada385452.

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IBSEN, T. G. Z-Plant material information tracking system (ZMITS) alternatives analysis. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/798035.

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MAY, D. L. Solid Waste Information and Tracking System (SWITS) Software Requirements Specification. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/801859.

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Anderson,, Leslie M., Brenda J. Turnbull, and Erikson R. Arcaira. Leader Tracking Systems: Turning Data Into Information for School Leadership. Policy Studies Associates, Inc., 2017. http://dx.doi.org/10.59656/el-ls9607.001.

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MAY, D. L. Solid waste information and tracking system server conversion project management plan. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/781691.

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Marshall, Sandra P. Monitoring Situational Awareness in Tactical Information Displays with Eye-Tracking Instrumentation. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada324592.

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McKay, R. B. Solid Waste Information and Tracking System (SWITS) data change request log. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10180561.

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May, D. L. Solid waste information and tracking system client-server conversion project management plan. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/348860.

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GLASSCOCK, J. A. Solid Waste Information and Tracking System Client Server Conversion Project Management Plan. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/801307.

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Clark, R. E. Solid Waste Information Tracking System (SWITS), Backlog Waste Modifications, Software Requirements Specification (SRS). Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/67204.

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