Academic literature on the topic 'Digital methods of information processing'
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Journal articles on the topic "Digital methods of information processing"
Künkel, H., and H. J. Heinze. "Methods of Digital Information Processing in Clinical Neurophysiology." Methods of Information in Medicine 24, no. 01 (January 1985): 1–4. http://dx.doi.org/10.1055/s-0038-1635352.
Full textBaldin, Alexander V., and Dmitriy V. Eliseev. "Processing Archive Information in Digital University." ITM Web of Conferences 35 (2020): 02003. http://dx.doi.org/10.1051/itmconf/20203502003.
Full textWang, Xi, Taizheng Chen, Dongwei Li, and Shiqi Yu. "Processing Methods for Digital Image Data Based on the Geographic Information System." Complexity 2021 (June 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/2319314.
Full textStepanova, L. N., V. V. Chernova, and I. S. Ramazanov. "USING CLUSTERING METHODS FOR PROCESSING ACOUSTIC-EMISSION INFORMATION." Kontrol'. Diagnostika, no. 254 (2019): 12–21. http://dx.doi.org/10.14489/td.2019.08.pp.012-021.
Full textFlegner, Patrik, and Ján Kačur. "EVALUATION OF SENSOR SIGNAL PROCESSING METHODS IN TERMS OF INFORMATION THEORY." Acta Polytechnica 58, no. 6 (December 31, 2018): 339–45. http://dx.doi.org/10.14311/ap.2018.58.0339.
Full textMao, Hongyan. "Information Processing Methods of Electronic Warfare Events Based on Communication Technology." Security and Communication Networks 2022 (January 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/9309710.
Full textBogomolov, Alexey. "Information Technologies of Digital Adaptive Medicine." Informatics and Automation 20, no. 5 (September 8, 2021): 1154–82. http://dx.doi.org/10.15622/20.5.6.
Full textKubiak, Ireneusz. "Digital processing methods of images and signals in electromagnetic infiltration process." Image Processing & Communications 18, no. 1 (March 1, 2013): 5–14. http://dx.doi.org/10.2478/v10248-012-0070-7.
Full textPrystavka, Pylyp, Kseniia Dukhnovska, Oksana Kovtun, Olga Leshchenko, Olha Cholyshkina, and Anhelina Zhultynska. "Devising information technology for determining the redundant information content of a digital image." Eastern-European Journal of Enterprise Technologies 6, no. 2 (114) (December 29, 2021): 59–70. http://dx.doi.org/10.15587/1729-4061.2021.248698.
Full textYu, Guo Qing, Chen Meng Sui, and Bing Dong Sui. "Applied-Information Technology with Method of Digital Image Noise Processing." Advanced Materials Research 951 (May 2014): 253–56. http://dx.doi.org/10.4028/www.scientific.net/amr.951.253.
Full textDissertations / Theses on the topic "Digital methods of information processing"
Hellyar, Mark Tremaine. "Investigation, development and application of knowledge based digital signal processing methods for enhancing human EEGs." Thesis, University of Plymouth, 1991. http://hdl.handle.net/10026.1/1820.
Full textAli, Salih Mohamed Sidahmed. "GIS time series mapping of a former South African homeland." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2506.
Full textThis case study investigates the change in the geographical boundaries by creating a Spatio-temporal mapping of Ciskei (one of the so-called Bantustans or Homelands) during the period of Apartheid. It examines the reasons for its establishment, and what impact the apartheid land legislation had on the geographical boundaries of Ciskei. GIS technology was used in this study to create time series animation and Static map to display the spatial change of the Ciskei boundaries. This investigation was split into quantitative and qualitative assessments. The aim of the quantitative assessments was to determine the amount of the spatial change of the Ciskei geographic boundary. The qualitative methods was used to investigate the map viewer’s understanding of the amount of the information in the static and animated maps. The results of qualitative assessments showed that static and animated maps have their respective advantages in the visualization of the map viewer. The importance of this research is to take advantage of time series mapping techniques to study the homeland areas in South Africa and see all the changes that have occurred as a result of a period of apartheid legislation. For this research, the following data were gathered: Attribute and metadata was the legislation and laws related to the land and the geographic data was the historical maps and coordinate data.
Alonso, Miguel Jr. "A method for enhancing digital information displayed to computer users with visual refractive errors via spatial and spectral processing." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/1112.
Full textDarbhamulla, Lalitha. "A Java image editor and enhancer." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2705.
Full textKokkinou, Eleni. "Image processing methods in digital autoradiography." Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/844272/.
Full textRibeiro, Manassés. "Deep learning methods for detecting anomalies in videos: theoretical and methodological contributions." Universidade Tecnológica Federal do Paraná, 2018. http://repositorio.utfpr.edu.br/jspui/handle/1/3172.
Full textA detecção de anomalias em vídeos de vigilância é um tema de pesquisa recorrente em visão computacional. Os métodos de aprendizagem profunda têm alcançado o estado da arte para o reconhecimento de padrões em imagens e o Autocodificador Convolucional (ACC) é uma das abordagens mais utilizadas por sua capacidade em capturar as estruturas 2D dos objetos. Neste trabalho, a detecção de anomalias se refere ao problema de encontrar padrões em vídeos que não pertencem a um conceito normal esperado. Com o objetivo de classificar anomalias adequadamente, foram verificadas formas de aprender representações relevantes para essa tarefa. Por esse motivo, estudos tanto da capacidade do modelo em aprender características automaticamente quanto do efeito da fusão de características extraídas manualmente foram realizados. Para problemas de detecção de anomalias do mundo real, a representação da classe normal é uma questão importante, sendo que um ou mais agrupamentos podem descrever diferentes aspectos de normalidade. Para fins de classificação, esses agrupamentos devem ser tão compactos (densos) quanto possível. Esta tese propõe o uso do ACC como uma abordagem orientada a dados aplicada ao contexto de detecção de anomalias em vídeos. Foram propostos métodos para o aprendizado de características espaço-temporais, bem como foi introduzida uma abordagem híbrida chamada Autocodificador Convolucional com Incorporação Compacta (ACC-IC), cujo objetivo é melhorar a compactação dos agrupamentos normais. Além disso, foi proposto um novo critério de parada baseado na sensibilidade e sua adequação para problemas de detecção de anomalias foi verificada. Todos os métodos propostos foram avaliados em conjuntos de dados disponíveis publicamente e comparados com abordagens estado da arte. Além do mais, foram introduzidos dois novos conjuntos de dados projetados para detecção de anomalias em vídeos de vigilância em rodovias. O ACC se mostrou promissor na detecção de anomalias em vídeos. Resultados sugerem que o ACC pode aprender características espaço-temporais automaticamente e a agregação de características extraídas manualmente parece ser valiosa para alguns conjuntos de dados. A compactação introduzida pelo ACC-IC melhorou o desempenho de classificação para a maioria dos casos e o critério de parada baseado na sensibilidade é uma nova abordagem que parece ser uma alternativa interessante. Os vídeos foram analisados qualitativamente de maneira visual, indicando que as características aprendidas com os dois métodos (ACC e ACC-IC) estão intimamente correlacionadas com os eventos anormais que ocorrem em seus quadros. De fato, ainda há muito a ser feito para uma definição mais geral e formal de normalidade, de modo que se possa ajudar pesquisadores a desenvolver métodos computacionais eficientes para a interpretação dos vídeos.
The anomaly detection in automated video surveillance is a recurrent topic in recent computer vision research. Deep Learning (DL) methods have achieved the state-of-the-art performance for pattern recognition in images and the Convolutional Autoencoder (CAE) is one of the most frequently used approach, which is capable of capturing the 2D structure of objects. In this work, anomaly detection refers to the problem of finding patterns in images and videos that do not belong to the expected normal concept. Aiming at classifying anomalies adequately, methods for learning relevant representations were verified. For this reason, both the capability of the model for learning automatically features and the effect of fusing hand-crafted features together with raw data were studied. Indeed, for real-world problems, the representation of the normal class is an important issue for detecting anomalies, in which one or more clusters can describe different aspects of normality. For classification purposes, these clusters must be as compact (dense) as possible. This thesis proposes the use of CAE as a data-driven approach in the context of anomaly detection problems. Methods for feature learning using as input both hand-crafted features and raw data were proposed, and how they affect the classification performance was investigated. This work also introduces a hybrid approach using DL and one-class support vector machine methods, named Convolutional Autoencoder with Compact Embedding (CAE-CE), for enhancing the compactness of normal clusters. Besides, a novel sensitivity-based stop criterion was proposed, and its suitability for anomaly detection problems was assessed. The proposed methods were evaluated using publicly available datasets and compared with the state-of-the-art approaches. Two novel benchmarks, designed for video anomaly detection in highways were introduced. CAE was shown to be promising as a data-driven approach for detecting anomalies in videos. Results suggest that the CAE can learn spatio-temporal features automatically, and the aggregation of hand-crafted features seems to be valuable for some datasets. Also, overall results suggest that the enhanced compactness introduced by the CAE-CE improved the classification performance for most cases, and the stop criterion based on the sensitivity is a novel approach that seems to be an interesting alternative. Videos were qualitatively analyzed at the visual level, indicating that features learned using both methods (CAE and CAE-CE) are closely correlated to the anomalous events occurring in the frames. In fact, there is much yet to be done towards a more general and formal definition of normality/abnormality, so as to support researchers to devise efficient computational methods to mimetize the semantic interpretation of visual scenes by humans.
Ali-Bakhshian, Mohammad. "Digital processing of analog information adopting time-mode signal processing." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114237.
Full textLes technologies CMOS progressant vers les procédés 22 nm et au delà, la abrication des circuits analogiques dans ces technologies se heurte a de nombreuses limitations. Entre autres limitations on peut citer la réduction d'amplitude des signaux, la sensibilité aux effets du bruit thermique et la perte de fonctions précises de commutation. Le traitement de signal en mode temps (TMSP pour Time-Mode Signal Processing) est une technique que l'on croit être bien adapté pour résoudre un grand nombre de problèmes relatifs a ces limitations. TMSP peut être défini comme la détection, le stockage et la manipulation de l'information analogique échantillonnée en utilisant des quantités de temps comme variables. L'un des avantages importants de TMSP est la capacité à réaliser des fonctions analogiques en utilisant des structures logiques digitales. Cette technique a une longue histoire en terme d'application en électronique. Cependant, en raison du manque de certaines fonctions fondamentales, l'utilisation de variables en mode temps a été limitée à une utilisation comme étape intermédiaire dans le traitement d'un signal et toujours dans le contexte d'une conversion tension/courant-temps et temps-tension/courant. Ces conversions nécessitent l'inclusion de blocs analogiques qui vont a l'encontre de l'avantage numérique des TMSP. Cette thèse fournit un fondement approprié pour le développement de TMSP comme outil général de traitement de signal. En proposant le concept nouveau d'interruption de retard, une toute nouvelle approche asynchrone pour la manipulation de variables en mode temps est suggéré. Comme conséquence directe de cette approche, des techniques pratiques pour le stockage, l'addition et la soustraction de variables en mode temps sont présentées. Pour étendre l'implémentation digitale de TMSP à une large gamme d'applications, la conception d'un intégrateur (accumulateur) à double voie temps- à -temps est démontrée. cet intégrateur est ensuite utilisé pour implémenter un modulateur delta-sigma de second ordre.Enfin, pour démontrer l'avantage de TMSP, une Interface de très basse puissance, compacte et réglable pour capteurs capacitifs est présenté. Cette interface est composé d'un certain nombre de blocs de retard associés à des portes logiques typiques. Toutes les théories proposées sont soutenues par des résultats expérimentaux et des simulations post-layout. L'implémentation digitale des circuits proposés a été la première priorité de cette thèse. En effet, une implémentation des bloc avec des structures digitales permet des conceptions simples, synthétisable et reconfigurables où des circuits de calibration très abordables peuvent être adoptées pour éliminer les effets des variations de process.
Ollonqvist, K. (Kalle). "Moving from traditional software development methods to agile methods." Bachelor's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201806092553.
Full textTarczyńska, Anna. "Methods of Text Information Extraction in Digital Videos." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2656.
Full textThe huge amount of existing digital video files needs to provide indexing to make it available for customers (easier searching). The indexing can be provided by text information extraction. In this thesis we have analysed and compared methods of text information extraction in digital videos. Furthermore, we have evaluated them in the new context proposed by us, namely usefulness in sports news indexing and information retrieval.
Lindström, Fredric. "Digital signal processing methods and algorithms for audio conferencing systems /." Karlskrona : Department of Signal Processing, School of Engineering, Blekinge Institute of Technology, 2007. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/9cc008f2fa400e82c12572bb00331533?OpenDocument.
Full textBooks on the topic "Digital methods of information processing"
Web-based supply chain management and digital signal processing: Methods for effective information administration and transmission. Hershey, PA: Business Science Reference, 2010.
Find full textRamachandra, Manjunath. Web-based supply chain management and digital signal processing: Methods for effective information administration and transmission. Hershey, PA: Business Science Reference, 2010.
Find full textManjunath, R. Web-based supply chain management and digital signal processing: Methods for effective information administration and transmission. Hershey, PA: Business Science Reference, 2010.
Find full textInternational Conference on Advances in Medical Signal and Information Processing (1st 2000 University of Bristol). First International Conference on Advances in Medical Signal and Information Processing: 4-6 September 2000, venue, University of Bristol, UK. London: IEE, 2000.
Find full textTavares, João Manuel R. S. and Jorge R. M. Natal, eds. Advances in computational vision and medical image processing: Methods and applications. [Dordrecht]: Springer, 2009.
Find full textLigure, Italy) International Conference on Advances in Medical Signal and Information Processing (4th 2008 Santa Margherita. The 4th IET International Conference on Advances in Medical, Signal and Information Processing MEDSIP 2008: 14-16 July, 2008, Lido Palace Hotel, Santa Margherita Ligure, Italy. Stevenage, England: IET, 2008.
Find full textDickmann, Frank. Interaktive Kartographie: Eine praxisorientierte Einführung in die Methoden des digitalen Kartendesigns. Bochum: Bochumer Universitätsverlag, 2013.
Find full textLipp, Torsten. Landschaftsplanung digital: Unterstützung des Planungsprozesses durch GIS, Daten, Analysen, Methoden : Dokumentation des gleichnamigen Workshops am 25. September 2003 in Rostock. Rostock: DBU, 2004.
Find full textL, Vealé Beth, ed. Digital radiography and PACS. St. Louis, Mo: Mosby/Elsevier, 2010.
Find full textL, Vealé Beth, ed. Digital radiography and PACS. St. Louis, Mo: Mosby Elsevier, 2008.
Find full textBook chapters on the topic "Digital methods of information processing"
Novosád, Tomáš, Jan Martinovič, Peter Scherer, Václav Snášel, Roman Šebesta, and Petr Klement. "Mobile Phone Positioning in GSM Networks Based on Information Retrieval Methods and Data Structures." In Digital Information Processing and Communications, 349–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22410-2_31.
Full textMitrea, Delia, Sergiu Nedevschi, Mihai Socaciu, and Radu Badea. "The Role of the Feature Extraction Methods in Improving the Textural Model of the Hepatocellular Carcinoma, Based on Ultrasound Images." In Digital Information Processing and Communications, 496–509. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22389-1_44.
Full textMarchesi, Carlo, Matteo Paoletti, and Loriano Galeotti. "Data, Signals, and Information: Medical Applications of Digital Signal Processing." In Advanced Methods of Biomedical Signal Processing, 33–60. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118007747.ch2.
Full textSandkuhl, Kurt, Matthias Wißotzki, Alexander Smirnov, and Nikolay Shilov. "Digital Innovation Based on Digital Signage: Method, Categories and Examples." In Lecture Notes in Business Information Processing, 126–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99951-7_9.
Full textOubaha, Jawad, Adel Echchaachoui, Ali Ouacha, and Mohammed Elkoutbi. "New Method: Mapping of 802.11e into MPLS Domains, Conception and Experimentation." In Digital Information Processing and Communications, 470–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22410-2_41.
Full textWißotzki, Matthias, and Kurt Sandkuhl. "The Digital Business Architect – Towards Method Support for Digital Innovation and Transformation." In Lecture Notes in Business Information Processing, 352–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70241-4_24.
Full textKostić-Ljubisavljević, A., V. Radonjić, S. Mladenović, and V. Aćimović-Raspopović. "An Application of Game Theory for the Selection of Traffic Routing Method in Interconnected NGN." In Digital Information Processing and Communications, 107–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22410-2_9.
Full textVogelsang, Kristin, Henning Brink, and Sven Packmohr. "Measuring the Barriers to the Digital Transformation in Management Courses – A Mixed Methods Study." In Lecture Notes in Business Information Processing, 19–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61140-8_2.
Full textProkudin, Dmitry, Georgy Levit, and Uwe Hossfeld. "Selection Methods for Quantitative Processing of Digital Data for Scientific Heritage Studies." In Communications in Computer and Information Science, 134–45. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02846-6_11.
Full textAhn, Jinhaeng, Hiuk Jae Shim, Byeungwoo Jeon, and Inchoon Choi. "Digital Video Scrambling Method Using Intra Prediction Mode." In Advances in Multimedia Information Processing - PCM 2004, 386–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30543-9_49.
Full textConference papers on the topic "Digital methods of information processing"
Karnaukhov, Viktor N., A. P. Kozhevnikov, Nikolay S. Merzlyakov, and Mikhail G. Mozerov. "Methods, tools, and digital image processing in multimedia." In Optical Information Science and Technology, edited by Andrei L. Mikaelian. SPIE, 1998. http://dx.doi.org/10.1117/12.302492.
Full textKarabat, Cagatay, Hakan Erdogan, and Mehmet Kivanc Mihcak. "Information theoretic capacity analysis for biometric hashing methods." In 2011 17th International Conference on Digital Signal Processing (DSP). IEEE, 2011. http://dx.doi.org/10.1109/icdsp.2011.6004919.
Full textAlyoshin, D., А. Demianenko, and A. Solodovnik. "ABOUT DIGITAL PROCESSING OF ASTRONOMICAL IMAGES USING HISTOGRAM PROCESSING METHODS." In Proceedings of the XXVIII International Scientific and Practical Conference. RS Global Sp. z O.O., 2021. http://dx.doi.org/10.31435/rsglobal_conf/25042021/7524.
Full textShelke, Raviraj, and Shilpa Metkar. "Image scrambling methods for digital image encryption." In 2016 International Conference on Signal and Information Processing (IConSIP). IEEE, 2016. http://dx.doi.org/10.1109/iconsip.2016.7857449.
Full textGerasimov, Sergey, Vladimir Glushnev, and Mikhail Panov. "Applications of Digital Signal Processing Methods in Ultrasonic Flowmeters." In 2018 IV International Conference on Information Technologies in Engineering Education (Inforino). IEEE, 2018. http://dx.doi.org/10.1109/inforino.2018.8581723.
Full textLytvyn, O. M., and O. P. Nechuyviter. "Methods in the Multivariate Digital Signal Processing with using Spline-Interlineation." In ACIT - Information and Communication Technology. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.691-063.
Full textStarikov, Sergey N., Mikhail V. Konnik, Edward A. Manykin, and Vladislav G. Rodin. "Linear restoration methods for wavefront coded imaging system based on digital photo camera." In Visual Information Processing XVII. SPIE, 2008. http://dx.doi.org/10.1117/12.777602.
Full textYao, Wei, Guifa Teng, and Hui Li. "Recognition Methods of Housing Vacancy Based on Digital Image Processing." In 2013 International Conference on Information Science and Cloud Computing Companion (ISCC-C). IEEE, 2013. http://dx.doi.org/10.1109/iscc-c.2013.106.
Full textPyanylo, Yaroslav, Valentyna Sobko, Halyna Pyanylo, Mykhailo Petrus, and Andriy Demichkovsky. "Processing of Digital Information on the Basis of Orthogonal and Biorthogonal Polynomials." In 2020 IEEE 6th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC). IEEE, 2020. http://dx.doi.org/10.1109/msnmc50359.2020.9255422.
Full textSenthilrajan, A., R. Ruba Mangala, and N. Shanmugapriya. "Efficient Retrieval of an Image Using Statistical Methods in Digital Image Processing." In Department of Information Science and Technology. Singapore: Research Publishing Services, 2015. http://dx.doi.org/10.3850/978-981-09-4426-1_051.
Full textReports on the topic "Digital methods of information processing"
Pinchuk, Olga P., Oleksandra M. Sokolyuk, Oleksandr Yu Burov, and Mariya P. Shyshkina. Digital transformation of learning environment: aspect of cognitive activity of students. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3243.
Full textSchafer, Ronald W. Multidimensional Digital Signal Processing Optical Devices for Information Processing and Electromagnetic Analysis and Measurement. Fort Belvoir, VA: Defense Technical Information Center, July 1996. http://dx.doi.org/10.21236/ada384663.
Full textMurray, Sean, Frank Small, Michelle C. McVey, Kevin King, Christine Slocum, and Will Tanenbaum. Database Creation for Information Processing Methods, Metrics, and Models (DCIPM3). Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada500568.
Full textUpadhyaya, B. R., and W. Yan. Hybrid digital signal processing and neural networks for automated diagnostics using NDE methods. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10108326.
Full textTimofeev, E. V., A. F. Erk, V. N. Sudachenko, and A. N. Efimova. The use of digital technology in the classification of information on the work of technical means in the processing and application of organic fertilizers. Ljournal, 2019. http://dx.doi.org/10.18411/0131-5226-2019-17074.
Full textSakhare, Rahul Suryakant, Jairaj Desai, Jijo K. Mathew, Woosung Kim, Justin Mahlberg, Howell Li, and Darcy M. Bullock. Evaluating the Impact of Vehicle Digital Communication Alerts on Vehicles. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317324.
Full textVoloshynov, Serhii A., Halyna V. Popova, Alona Y. Yurzhenko, and Ekaterina O. Shmeltser. The use of digital escape room in educational electronic environment of maritime higher education institutions. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3869.
Full textMartyniuk, Oleksandr O., Oleksandr S. Martyniuk, and Ivan O. Muzyka. Formation of informational and digital competence of secondary school students in laboratory work in physics. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4446.
Full textMathew, Jijo K., Christopher M. Day, Howell Li, and Darcy M. Bullock. Curating Automatic Vehicle Location Data to Compare the Performance of Outlier Filtering Methods. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317435.
Full textZelenskyi, Arkadii A. Relevance of research of programs for semantic analysis of texts and review of methods of their realization. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2884.
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