Academic literature on the topic 'Changes detection'
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Journal articles on the topic "Changes detection"
Kouda, Takaharu. "Detection of Blink and Facial Expression Changes using DCT Signs." Journal of the Institute of Industrial Applications Engineers 2, no. 2 (April 25, 2014): 70–73. http://dx.doi.org/10.12792/jiiae.2.70.
Full textYang, Le, Yiming Chen, Shiji Song, Fan Li, and Gao Huang. "Deep Siamese Networks Based Change Detection with Remote Sensing Images." Remote Sensing 13, no. 17 (August 26, 2021): 3394. http://dx.doi.org/10.3390/rs13173394.
Full textGuépié, Blaise Kévin, Lionel Fillatre, and Igor Nikiforov. "Sequential Detection of Transient Changes." Sequential Analysis 31, no. 4 (October 2012): 528–47. http://dx.doi.org/10.1080/07474946.2012.719443.
Full textKashiwagi, Nobuhisa. "Bayesian detection of structural changes." Annals of the Institute of Statistical Mathematics 43, no. 1 (March 1991): 77–93. http://dx.doi.org/10.1007/bf00116470.
Full textGałkowski, Tomasz, Adam Krzyżak, Zofia Patora-Wysocka, Zbigniew Filutowicz, and Lipo Wang. "A New Approach to Detection of Changes in Multidimensional Patterns." Journal of Artificial Intelligence and Soft Computing Research 11, no. 3 (May 29, 2021): 217–27. http://dx.doi.org/10.2478/jaiscr-2021-0013.
Full textKUROHARA, Akira, Kensuke TERAI, Hiromi TAKEUCHI, and Akio UMEZAWA. "Respiratory changes during detection of deception." Japanese Journal of Physiological Psychology and Psychophysiology 19, no. 2 (2001): 75–86. http://dx.doi.org/10.5674/jjppp1983.19.75.
Full textLee, T. Y., and D. H. Brainard. "Detection of changes in luminance distributions." Journal of Vision 11, no. 13 (November 15, 2011): 14. http://dx.doi.org/10.1167/11.13.14.
Full textCroy, I., F. Krone, S. Walker, and T. Hummel. "Olfactory Processing: Detection of Rapid Changes." Chemical Senses 40, no. 5 (April 24, 2015): 351–55. http://dx.doi.org/10.1093/chemse/bjv020.
Full textKramer, David. "DHS changes tack on radiation detection." Physics Today 64, no. 9 (September 2011): 32–33. http://dx.doi.org/10.1063/pt.3.1253.
Full textNikiforov, Igor V. "Sequential detection/isolation of abrupt changes." Sequential Analysis 35, no. 3 (July 2, 2016): 268–301. http://dx.doi.org/10.1080/07474946.2016.1206354.
Full textDissertations / Theses on the topic "Changes detection"
Swe-Hee, Kwet Kon Kian Yen. "Detection of changes in times series." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279569.
Full textBraganza, Karl 1971. "Climate change detection and attribution using simple global indices." Monash University, School of Mathematical Sciences, 2002. http://arrow.monash.edu.au/hdl/1959.1/7783.
Full textMalhotra, Ashish. "Detection of abrupt changes and industrial applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0005/MQ59842.pdf.
Full textAviv, David. "Detection of abrupt changes in statistical models." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/43764.
Full textKonstantinidis, Dimitrios. "Building detection for monitoring of urban changes." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/57036.
Full textTavakkol, Behnam. "Real-time detection of wave profile changes." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/14135.
Full textDepartment of Industrial and Manufacturing Systems Engineering
Shing I. Chang
This research studies a few methodologies for real-time detection of wave profile changes. In regular profile monitoring, change detection takes place at the end of time period when a complete profile is available. In real-time change detection of profiles, a potential profile change takes place between the beginning and the end of the time period. The decision involves the identification whether a process is in control or out of control before the entire profile is generated. In this regard, five proposed methodologies were developed and tested in this thesis. Earthquake waves, manufacturing processes, and heart beat rate are a few examples of profiles with different natures that the proposed methodologies can be applied to. Water temperature profiles generated during a curing process are considered as an example in this study. Successful implementation of the proposed work on these profiles would cause saving great amounts of time and money. Five methods are studied for monitoring the water control process of a curing process. The first four proposed methodologies are based on an univariate approach where the statistic used for process monitoring is the enclosed area between the profiles and their fitted cutting lines. A multivariate approach is also proposed. A simulation study is also conducted when the best method is chosen based on it performance and simplicity of operations. Various types of acceptable and unacceptable profiles are simulated for the best proposed method identified in the preliminary study. The best method has a satisfactory performance in detecting the changes in the unacceptable profiles. In addition, the false alarm rate in identifying acceptable profiles as bad profiles is lower than 10%.
Graham, Neil. "Automatic detection of authorship changes within single documents." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0017/MQ49736.pdf.
Full textBustamante, Mariana. "Detection and Quantification of Small Changes in MRI Volumes." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-219487.
Full textMorak, Simone. "Impact of externally forced changes on temperature extremes." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8246.
Full textVellekoop, Michel Henri. "Rapid detection and estimation of abrupt changes by nonlinear filtering." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286757.
Full textBooks on the topic "Changes detection"
L, Telʹksnis, ed. Detection of changes in random processes. New York: Optimization Software, Publications Division, 1986.
Find full textBasseville, M. Detection of abrupt changes: Theory and application. Englewood Cliffs, N.J: Prentice Hall, 1993.
Find full textAviv, David. Detection of abrupt changes in statistical models. Monterey, Calif: Naval Postgraduate School, 1991.
Find full textBasseville, Michèle, and Albert Benveniste, eds. Detection of Abrupt Changes in Signals and Dynamical Systems. Berlin/Heidelberg: Springer-Verlag, 1985. http://dx.doi.org/10.1007/bfb0006385.
Full text1952-, Basseville M., and Benveniste Albert, eds. Detection of abrupt changes in signals and dynamical systems. Berlin: Springer-Verlag, 1986.
Find full textLoehle, Craig. Climate change: Detection and attribution of trends from long-term geologic data. Research Triangle Park, NC: National Council for Air and Stream Improvement, 2003.
Find full textCastellano, Carlos. Input design for detection of abrupt changes in dynamic systems. Manchester: UMIST, 1996.
Find full textFrederick, John E. The detection and interpretation of long-term changes in ozone from space. [Washington, DC?: National Aeronautics and Space Administration, 1988.
Find full textInformal Planning Meeting on Statistical Procedures for Climate Change Detection (1992 Toronto). Report on the Informal Planning Meeting on Statistical Procedures for Climate Change Detection (Toronto, 25 June, 1992). Geneva, Switzerland: World Meteorological Organization, 1992.
Find full textCCl Working Group on Climate Change Detection. Session. Report of CCl Working Group on Climate Change Detection (First session), (Geneva, 21-25 October 1991). [Geneva, Switzerland]: World Meteorological Organization, 1991.
Find full textBook chapters on the topic "Changes detection"
Shekhar, Shashi, and Hui Xiong. "Detection of Changes." In Encyclopedia of GIS, 240. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_282.
Full textAlho, Kimmo, Carles Escera, and Erich Schröger. "Event-Related Brain Potential Indices of Involuntary Attention to Auditory Stimulus Changes." In Detection of Change, 23–40. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0294-4_2.
Full textTenneson, Karis, John Dilger, Crystal Wespestad, Brian Zutta, Andréa Puzzi Nicolau, Karen Dyson, and Paula Paz. "Change Detection." In Cloud-Based Remote Sensing with Google Earth Engine, 303–16. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_16.
Full textNussbaum, Sven, and Irmgard Niemeyer. "Detection of Changes in Images." In International Safeguards and Satellite Imagery, 147–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79132-4_11.
Full textSze, Chwen-Jye, Hong-Yaun Mark Liao, Hai-Lung Hung, Kuo-Chin Fan, and Jun-Wei Hsieh. "Multiscale edge detection via normal changes." In Image Analysis and Processing, 22–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63507-6_180.
Full textBeibel, Martin, and Hans R. Lerche. "Sequential Bayes Detection of Trend Changes." In Contributions to Statistics, 117–30. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57410-8_11.
Full textHudecová, Šárka, Marie Hušková, and Simos Meintanis. "Detection of Changes in INAR Models." In Springer Proceedings in Mathematics & Statistics, 11–18. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13881-7_2.
Full textDarkhovsky, Boris, and Alexandra Piryatinska. "Detection of Changes in Binary Sequences." In Springer Proceedings in Mathematics & Statistics, 157–76. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28665-1_12.
Full textGallo, Giovanni, Eliana Granata, and Giuseppe Scarpulla. "Sudden Changes Detection in WCE Video." In Image Analysis and Processing – ICIAP 2009, 701–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04146-4_75.
Full textBasseville, M. "Detection of Abrupt Changes in Signal Processing." In inverse problems and theoretical imaging, 99–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75988-8_5.
Full textConference papers on the topic "Changes detection"
Hills, Anthony, Talia Tseriotou, Xenia Miscouridou, Adam Tsakalidis, and Maria Liakata. "Exciting Mood Changes: A Time-aware Hierarchical Transformer for Change Detection Modelling." In Findings of the Association for Computational Linguistics ACL 2024, 12526–37. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.744.
Full textLakouraj, Mohammad Mansour, Chetan Mishra, Jaime De La Ree, Luigi Vanfretti, Kevin D. Jones, and Hanif Livani. "Detection of Step Changes in Real-World Synchrophasor Measurements." In 2024 IEEE Power & Energy Society General Meeting (PESGM), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10688944.
Full textVecchia, Anna Dalla, Niccolò Marastoni, and Elisa Quintarelli. "Anomaly detection to infer context changes in temporal data." In 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/aict61888.2024.10740439.
Full textYarmilko, Andrii, Inna Rozlomii, and Yuliia Mysiura. "Highly Sensitive Real-Time Detection of Surface Texture Changes." In 2024 IEEE 17th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 1–4. IEEE, 2024. http://dx.doi.org/10.1109/tcset64720.2024.10755562.
Full textHamilton, Dennis E. "Tracked Changes." In DChanges '14: modeling, detection, storage and visualization. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2723147.2723153.
Full textMitkari, Kavita V., Manoj K. Arora, and Reet K. Tiwari. "Detecting Glacier Surface Changes Using Object-Based Change Detection." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8519230.
Full textSpadini, Elena. "Annotating Document Changes." In DChanges 2015: modeling, detection, storage and visualization. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2881631.2881637.
Full textVongsy, Karmon, Michael J. Mendenhall, Michael T. Eismann, and Gilbert L. Peterson. "Removing parallax-induced changes in Hyperspectral Change Detection." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350982.
Full textWhitaker, Nigel. "Understanding Changes in n-way Merge." In DChanges '14: modeling, detection, storage and visualization. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2723147.2723150.
Full textWei Chen, Xifeng Guo, Xinwang Liu, En Zhu, and Jianping Yin. "Appearance changes detection during tracking." In 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016. http://dx.doi.org/10.1109/icpr.2016.7899901.
Full textReports on the topic "Changes detection"
Nachtsheim, Abigael Catherine. Detection and Quantification of Ground Surface Changes from an Underground Explosion. Office of Scientific and Technical Information (OSTI), July 2018. http://dx.doi.org/10.2172/1463515.
Full textSlone, Scott Michael, Marissa Torres, Nathan Lamie, Samantha Cook, and Lee Perren. Automated change detection in ground-penetrating radar using machine learning in R. Engineer Research and Development Center (U.S.), October 2024. http://dx.doi.org/10.21079/11681/49442.
Full textMcCloy, John S., David V. Jordan, James F. Kelly, Douglas L. McMakin, Bradley R. Johnson, and Luke W. Campbell. Electromagnetic material changes for remote detection and monitoring: a feasibility study: Progress report. Office of Scientific and Technical Information (OSTI), September 2009. http://dx.doi.org/10.2172/990598.
Full textWagner, Anna, Arthur Gelvin, Jon Maakestad, Thomas Coleman, Dan Forsland, Sam Johansson, Johan Sundin, and Chandler Engel. Initial data collection from a fiber-optic-based dam seepage monitoring and detection system. Engineer Research and Development Center (U.S.), October 2023. http://dx.doi.org/10.21079/11681/47819.
Full textVranic-Sowers, Svetlana, and Shihab A. Shamma. Representation of Spectral Profiles in the Auditory System. 2. Detection of Spectral Peak Shape Changes. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada453133.
Full textHoffmann, Manuela, Cigdem Soydal, Irene Virgolini, Murat Tuncel, Kalevi Kairemo, Daniel Kapp, and Finn von Eyben. PSMA PET in Prostate Cancer: Detection of Metastases and Changes of Stage, Treatment, and Outcome. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2024. http://dx.doi.org/10.37766/inplasy2024.11.0041.
Full textBurns, Malcom, and Gavin Nixon. Literature review on analytical methods for the detection of precision bred products. Food Standards Agency, September 2023. http://dx.doi.org/10.46756/sci.fsa.ney927.
Full textClausen, Jay, Michael Musty, Anna Wagner, Susan Frankenstein, and Jason Dorvee. Modeling of a multi-month thermal IR study. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41060.
Full textBastawros, Ashraf. DTPH56-16H-CAP01 Mechanochemistry-Based Detection of Early Stage Corrosion Degradation of Pipeline Steels. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), May 2020. http://dx.doi.org/10.55274/r0011990.
Full textChoudhary, Siddhant, Ross Underhill, and Thomas Krause. PR652-203801-R05 The Lab study Effect of Earth�s Field and Line Pressure on Magnetization of Pipeline. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2024. http://dx.doi.org/10.55274/r0000073.
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