Gotowe bibliografie tematyczne / Data processing

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Data processing”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "Data processing"

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Martha, Ranjith. "Real-Time Data Ingestion for Big Data Processing." International Journal of Science and Research (IJSR) 14, no. 2 (2025): 570–72. https://doi.org/10.21275/sr25209075243.

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Mehraj, Nadiya, and Harveen Kour. "Data Processing Through Image Processing using Gaussian Minimum Shift Keying." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 977–81. http://dx.doi.org/10.31142/ijtsrd18819.

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Rossmann, Michael G., and Cornelis G. van Beek. "Data processing." Acta Crystallographica Section D Biological Crystallography 55, no. 10 (1999): 1631–40. http://dx.doi.org/10.1107/s0907444999008379.

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X-ray diffraction data processing proceeds through indexing, pre-refinement of camera parameters and crystal orientation, intensity integration, post-refinement and scaling. TheDENZOprogram has set new standards for autoindexing, but no publication has appeared which describes the algorithm. In the development of the newData Processing Suite(DPS), one of the first aims has been the development of an autoindexing procedure at least as powerful as that used byDENZO. The resultant algorithm will be described. Another major problem which has arisen in recent years is scaling and post-refinement of
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Zasuhina, Ol'ga, Egor Ershov, Leonid Golovatiukov, and Grigory Shitenkov. "BIG DATA PROCESSING TECHNOLOGY." Bulletin of the Angarsk State Technical University 1, no. 16 (2022): 98–100. http://dx.doi.org/10.36629/2686-777x-2022-1-16-98-100.

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Volkova, T., E. Furta, O. Dmitrieva, and I. Shabalina. "Pattern Building Methods in Genetic Data Processing." Journal on Selected Topics in Nano Electronics and Computing 1, no. 2 (2014): 2–6. http://dx.doi.org/10.15393/j8.art.2014.3041.

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Dayalan, Muthu. "MapReduce: Simplified Data Processing on Large Cluster." International Journal of Research and Engineering 5, no. 5 (2018): 399–403. http://dx.doi.org/10.21276/ijre.2018.5.5.4.

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Starukhin, Yaroslav, and Vladimir Diukarev. "AUTOMATION OF TEXT DATA PROCESSING USING NLP." American Journal of Engineering and Technology 6, no. 7 (2024): 24–39. http://dx.doi.org/10.37547/tajet/volume06issue07-04.

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This study aims to develop an automated system for processing scientific texts using advanced NLP techniques. The methodology integrates classical NLP methods with deep learning approaches, employing SciBERT for text classification, LDA for topic modeling, and a modified TextRank algorithm for keyword extraction. Results demonstrate high accuracy in document classification (F1-score of 0.92), effective topic identification, and precise keyword extraction. The developed web interface showcases the system's practical applicability. This research contributes to the field by presenting a comprehen
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Seenivasan, Dhamotharan. "Real-Time Data Processing with Streaming ETL." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 2185–92. https://doi.org/10.21275/sr24619000026.

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Patrick Bell, Denis, Eliasu Tambominyi, and Yang Chunting. "Real-Time Stream Processing of Big Data." International Journal of Science and Research (IJSR) 10, no. 3 (2021): 1247–52. https://doi.org/10.21275/sr21320045639.

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Karan, Patel, Sakaria Yash, and Bhadane Chetashri. "Real Time Data Processing Frameworks." International Journal of Data Mining & Knowledge Management Process (IJDKP) 5, no. 5 (2019): 49–63. https://doi.org/10.5281/zenodo.3406010.

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On a business level, everyone wants to get hold of the business value and other organizational advantages that big data has to offer. Analytics has arisen as the primitive path to business value from big data. Hadoop is not just a storage platform for big data; it’s also a computational and processing platform for business analytics. Hadoop is, however, unsuccessful in fulfilling business requirements when it comes to live data streaming. The initial architecture of Apache Hadoop did not solve the problem of live stream data mining. In summary, the traditional approach of big data being
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Rozprawy doktorskie na temat "Data processing"

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Long, Christopher C. "Data Processing for NASA's TDRSS DAMA Channel." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611474.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>Presently, NASA's Space Network (SN) does not have the ability to receive random messages from satellites using the system. Scheduling of the service must be done by the owner of the spacecraft through Goddard Space Flight Center (GSFC). The goal of NASA is to improve the current system so that random messages, that are generated on board the satellite, can be received by the SN. The messages will be requests for service that the satellites control sy
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Sun, Wenjun. "Parallel data processing for semistructured data." Thesis, London South Bank University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434394.

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Giordano, Manfredi. "Autonomic Big Data Processing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14837/.

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Apache Spark è un framework open source per la computazione distribuita su larga scala, caratterizzato da un engine in-memory che permette prestazioni superiori a soluzioni concorrenti nell’elaborazione di dati a riposo (batch) o in movimento (streaming). In questo lavoro presenteremo alcune tecniche progettate e implementate per migliorare l’elasticità e l’adattabilità del framework rispetto a modifiche dinamiche nell’ambiente di esecuzione o nel workload. Lo scopo primario di tali tecniche è di permettere ad applicazioni concorrenti di condividere le risorse fisiche disponibili nell’infrast
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Rydell, Joakim. "Advanced MRI Data Processing." Doctoral thesis, Linköping : Department of Biomedical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10038.

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Irick, Nancy. "Post Processing Data Analysis." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606091.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>Once the test is complete, the job of the Data Analyst has begun. Files from the various acquisition systems are collected. It is the job of the analyst to put together these files in a readable format so the success or failure of the test can be attained. This paper will discuss the process of breaking down these files, comparing data from different systems, and methods of presenting the data
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Castro, Fernandez Raul. "Stateful data-parallel processing." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/31596.

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Democratisation of data means that more people than ever are involved in the data analysis process. This is beneficial - it brings domain-specific knowledge from broad fields - but data scientists do not have adequate tools to write algorithms and execute them at scale. Processing models of current data-parallel processing systems, designed for scalability and fault tolerance, are stateless. Stateless processing facilitates capturing parallelisation opportunities and hides fault tolerance. However, data scientists want to write stateful programs - with explicit state that they can update, such
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Nyström, Simon, and Joakim Lönnegren. "Processing data sources with big data frameworks." Thesis, KTH, Data- och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188204.

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Big data is a concept that is expanding rapidly. As more and more data is generatedand garnered, there is an increasing need for efficient solutions that can be utilized to process all this data in attempts to gain value from it. The purpose of this thesis is to find an efficient way to quickly process a large number of relatively small files. More specifically, the purpose is to test two frameworks that can be used for processing big data. The frameworks that are tested against each other are Apache NiFi and Apache Storm. A method is devised in order to, firstly, construct a data flow and sec
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Mai, Luo. "Towards efficient big data processing in data centres." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/64817.

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Large data processing systems require a high degree of coordination, and exhibit network bottlenecks due to massive communication data. This motivates my PhD study to propose system control mechanisms that improve monitoring and coordination, and efficient communication methods by bridging applications and networks. The first result is Chi, a new control plane for stateful streaming systems. Chi has a control loop that embeds control messages in data channels to seamlessly monitor and coordinate a streaming pipeline. This design helps monitor system and application-specific metrics in a scalab
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Mueller, Guenter. "DIGITAL DATA RECORDING: NEW WAYS IN DATA PROCESSING." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/606505.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California<br>With the introduction of digital data recorders new ways of data processing have been developed. The three most important improvements are discussed in this paper: A) By processing PCM Data from a digital recorder by using the SCSI-Interface our ground station has developed software to detect the synchronization pattern of the PCM data and then perform software frame decommutation. Many advantages will be found with this method. B) New digital reco
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Macias, Filiberto. "Real Time Telemetry Data Processing and Data Display." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611405.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>The Telemetry Data Center (TDC) at White Sands Missile Range (WSMR) is now beginning to modernize its existing telemetry data processing system. Modern networking and interactive graphical displays are now being introduced. This infusion of modern technology will allow the TDC to provide our customers with enhanced data processing and display capability. The intent of this project is to outline this undertaking.
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Książki na temat "Data processing"

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Bourque, Linda, and Virginia Clark. Processing Data. SAGE Publications, Inc., 1992. http://dx.doi.org/10.4135/9781412985499.

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

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Bingham, John. Data Processing. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19938-9.

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Lester, Graham C. Data processing. Pitman, 1988.

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Lester, Graham C. Data processing. 3rd ed. Pitman, 1988.

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Technicians, Association of Accounting. Data processing. Financial Training, 1993.

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Bingham, John E. Data processing. 2nd ed. Macmillan, 1989.

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Bingham, John E. Data processing. 2nd ed. Macmillan, 1989.

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Godse, Jay. Ruby Data Processing. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3474-7.

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Chang, Chein-I. Hyperspectral Data Processing. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118269787.

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Części książek na temat "Data processing"

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Hofmann-Wellenhof, Bernhard, Herbert Lichtenegger, and James Collins. "Data processing." In Global Positioning System. Springer Vienna, 1992. http://dx.doi.org/10.1007/978-3-7091-5126-6_9.

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Raggatt, Peter. "Data Processing." In Principles and Practice of Immunoassay. Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-11234-0_7.

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Singh, Pramod. "Data Processing." In Learn PySpark. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4961-1_2.

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Kitchin, Christopher Robert. "Data Processing." In Telescopes and Techniques. Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3370-4_10.

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Tinnefeld, Christian. "Data Processing." In Building a Columnar Database on RAMCloud. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20711-7_5.

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Johnson, Chris F. A., and Jayant Varma. "Data Processing." In Pro Bash Programming. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0121-3_13.

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Hofmann-Wellenhof, Bernhard, Herbert Lichtenegger, and James Collins. "Data processing." In Global Positioning System. Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-3297-5_9.

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Hofmann-Wellenhof, Bernhard, Herbert Lichtenegger, and James Collins. "Data processing." In Global Positioning System. Springer Vienna, 1994. http://dx.doi.org/10.1007/978-3-7091-3311-8_9.

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Akrill, Tim, and Stephen Osmond. "Data Processing." In Physics A Level. Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-13852-4_8.

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Kitchin, Chris. "Data Processing." In Telescopes and Techniques. Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0023-2_10.

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Streszczenia konferencji na temat "Data processing"

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He, Sheng, and Gang Zhang. "Geomagnetic Data Processing." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10618623.

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Thakur, Samneet, Shubham Gupta, Pragya Arora, et al. "NISAR SweepSAR Data Processing." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984213.

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Hou, Shiyue, Nathan R. Tallent, Li Wang, and Ningfang Mi. "Performance Analysis of Data Processing in Distributed File Systems with Near Data Processing." In 2024 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 2024. http://dx.doi.org/10.1109/isncc62547.2024.10758994.

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Hassan, Syed Minhaj, Sudhakar Yalamanchili, and Saibal Mukhopadhyay. "Near Data Processing." In MEMSYS '15: International Symposium on Memory Systems. ACM, 2015. http://dx.doi.org/10.1145/2818950.2818952.

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Ribeiro, Marcela X., Mônica R. P. Ferreira, Caetano Traina, and Agma J. M. Traina. "Data pre-processing." In the 5th international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1456223.1456277.

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Satoh, Ichiro. "Edge Data Processing." In 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2016. http://dx.doi.org/10.1109/waina.2016.96.

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Voronkov, Maxim A., Ben Humphreys, Daniel Mitchell, and Matthew Whiting. "ASKAP data processing." In 2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC). IEEE, 2015. http://dx.doi.org/10.1109/ursi-at-rasc.2015.7303169.

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Spence, J. "Data processing challenges." In IET Seminar on Smart Metering - Gizmo or Revolutionary Technology? IEE, 2008. http://dx.doi.org/10.1049/ic:20080121.

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Alekseeva, D. "BIG DATA PROCESSING." In CHALLENGING ISSUES IN SYSTEMS MODELING AND PROCESSES. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2025. https://doi.org/10.58168/cismp2024_13-17.

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Gyurjyan, V., A. Bartle, C. Lukashin, S. Mancilla, R. Oyarzun, and A. Vakhnin. "Component based dataflow processing framework." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363971.

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Raporty organizacyjne na temat "Data processing"

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Casasent, David. Optical Data Processing. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada174465.

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Conlin, Jeremy L., and Andrej Trkov. Nuclear Data Processing. IAEA Nuclear Data Section, 2018. http://dx.doi.org/10.61092/iaea.c7t6-j2x8.

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SEA TECHNOLOGY ARLINGTON VA. Communications, Telemetry, Data Processing. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada417821.

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Andrews, Elisabeth. RACORO aerosol data processing. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1028128.

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- UC BERKELEY, M. SHEATS. ADVANCED DATA PROCESSING FOR VOLUMETRIC COMPUTED TOMOGRAPHY DATA. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/784592.

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Feng, Ya-Chien, Alyssa Matthews, Marqi Rocque, et al. TRACER Radar b1 Data Processing: Corrections, Calibrations, and Processing Report. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2326212.

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Matthews, Alyssa, Min Deng, Eddie Schuman, Ya-Chien Feng, and Marqui Rocque. SAIL Radar b1 Data Processing: Corrections, Calibrations, and Processing Report. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2502058.

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Paterno, Marc, and Chris Green. Processing Contexts for Experimental HEP Data. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1422188.

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Macduff, M., and D. Egan. ACRF Data Collection and Processing Infrastructure. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/1020559.

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Fields, Erik, Karen Tracey, and D. R. Watts. Inverted Echo Sounder Data Processing Report. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada237576.

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