Academic literature on the topic 'Mathematical pattern'

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Journal articles on the topic "Mathematical pattern"

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SATO, Atsushi. "Mathematical Methods for Pattern Recognition." IEICE ESS FUNDAMENTALS REVIEW 5, no. 4 (2012): 302–11. http://dx.doi.org/10.1587/essfr.5.302.

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Washburn, Dorothy. "Mathematical Symmetries for Pattern Analysis." Anthropology News 40, no. 3 (1999): 26–27. http://dx.doi.org/10.1111/an.1999.40.3.26.3.

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Sanchez, A., A. del Rio, J. L. Valenzuela, and L. Romero. "Mathematical pattern of diagnosis: Muskmelon." Communications in Soil Science and Plant Analysis 23, no. 17-20 (1992): 2763–70. http://dx.doi.org/10.1080/00103629209368771.

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Kodituwakku, Saluka R. "Mathematical structures in pattern organizations." Journal of Science of the University of Kelaniya Sri Lanka 4 (January 17, 2011): 46. http://dx.doi.org/10.4038/josuk.v4i0.2697.

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Milton, Graeme W., and Ornella Mattei. "Field patterns: a new mathematical object." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473, no. 2198 (2017): 20160819. http://dx.doi.org/10.1098/rspa.2016.0819.

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Field patterns occur in space–time microstructures such that a disturbance propagating along a characteristic line does not evolve into a cascade of disturbances, but rather concentrates on a pattern of characteristic lines. This pattern is the field pattern. In one spatial direction plus time, the field patterns occur when the slope of the characteristics is, in a sense, commensurate with the space–time microstructure. Field patterns with different spatial shifts do not generally interact, but rather evolve as if they live in separate dimensions, as many dimensions as the number of field patt
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Trautmann, Laura, and Attila Piros. "A New Mathematical Method for Pattern Development." Periodica Polytechnica Mechanical Engineering 63, no. 1 (2018): 44–51. http://dx.doi.org/10.3311/ppme.12648.

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The specialty of the patterns is that they are present in many disciplines, even our world is organized by them. The application of a regular structure in the field of product design may also open new possibilities. An automatized pattern can be used in many industries, such as interior design, paper industry, and so on. In this article we can see an example for utilization in electronic industry. The innovation is the pattern applied to the product, which was created with a new mathematical method. The goal was to develop a fully automatized general method. The description of the Generalized
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Chichilnisky, Eduardo J. "A mathematical model of pattern formation." Journal of Theoretical Biology 123, no. 1 (1986): 81–101. http://dx.doi.org/10.1016/s0022-5193(86)80237-5.

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Rodrigues, Fátima, and Pedro J. Freitas. "TILES AND IDENTITY BY PATTERN CLASSIFICATION." ARTis ON, no. 8 (December 30, 2018): 69–80. http://dx.doi.org/10.37935/aion.v0i8.218.

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Walled tiles can be figurative or patterned. Whereas the figurative tiles can better be described by theme or author, tile patterns are traditionally classified using more abstract rules that describe either the motif or the pattern itself. In this paper, we present a traditional mathematical classification of plane patterns, the Washburn and Crowe Algorithm, and use it to identify or distinguish tile patterns. We present a complete mathematical classification of the tile patterns present in all places of public access in the Almada region and show how this classification can help recover dama
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Puspasari, Ratih, Setyo Hartanto, Mohamad Gufron, Pradnyo Wijayanti, and Mega Teguh Budiarto. "Frieze Pattern on Shibori Fabric." Journal of Medives : Journal of Mathematics Education IKIP Veteran Semarang 6, no. 1 (2022): 67. http://dx.doi.org/10.31331/medivesveteran.v6i1.1904.

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Mathematics and culture are two things that are closely related to the activities of daily human life. Because Mathematics is a form of culture that is integrated in all people's lives. This means that, in culture we can find various kinds of mathematical concepts called ethnomathematics. Shibori is a technique of manipulating cloth originating from Japan, to create patterns through a dyeing method that has been around since the 8th century. The patterns created in Shibori generally depict an asymmetrical shape. In the Shibori motif there are several mathematical elements, one of which is the
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Smith, Margaret S., Amy F. Hillen, and Christy L. Catania. "Using Pattern Tasks to Develop Mathematical Understandings and Set Classroom Norms." Mathematics Teaching in the Middle School 13, no. 1 (2007): 38–44. http://dx.doi.org/10.5951/mtms.13.1.0038.

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The capacity to reason algebraically is critical in shaping students' future opportunities and, as such, is a central theme of K–12 education (NCTM 2000). One component of algebraic reasoning is “the capacity to recognize patterns and organize data to represent situations in which input is related to output by well-defined functional rules” (Driscoll 1999, p. 2). Geometric pattern tasks can be a useful tool for helping students develop algebraic reasoning, because the tasks provide students with opportunities to build patterns with materials such as toothpicks or pattern blocks. These material
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Dissertations / Theses on the topic "Mathematical pattern"

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Yang, Xige. "MATHEMATICAL MODELS OF PATTERN FORMATION IN CELL BIOLOGY." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1542236214346341.

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Hunt, Gordon S. "Mathematical modelling of pattern formation in developmental biology." Thesis, Heriot-Watt University, 2013. http://hdl.handle.net/10399/2706.

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The transformation from a single cell to the adult form is one of the remarkable wonders of nature. However, the fundamental mechanisms and interactions involved in this metamorphic change still remain elusive. Due to the complexity of the process, researchers have attempted to exploit simpler systems and, in particular, have focussed on the emergence of varied and spectacular patterns in nature. A number of mathematical models have been proposed to study this problem with one of the most well studied and prominent being the novel concept provided by A.M. Turing in 1952. Turing's simple yet el
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Vemulapalli, Smita. "Audio-video based handwritten mathematical content recognition." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45958.

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Recognizing handwritten mathematical content is a challenging problem, and more so when such content appears in classroom videos. However, given the fact that in such videos the handwritten text and the accompanying audio refer to the same content, a combination of video and audio based recognizer has the potential to significantly improve the content recognition accuracy. This dissertation, using a combination of video and audio based recognizers, focuses on improving the recognition accuracy associated with handwritten mathematical content in such videos. Our approach makes use of a video
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Zhu, Jia Jun. "A language for financial chart patterns and template-based pattern classification." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950603.

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Ren, Xiaojing, and 任晓晶. "Modeling pattern formation of swimming E.coli." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B43704001.

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Sangster, Margaret. "An exploration of pattern in primary school mathematics." Thesis, University of Surrey, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326524.

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TITONELI, LUANA MIRANDA BALTAZAR. "THE PATTERN OBSERVATION: MATHEMATICAL MODELING THROUGH NUMERICAL SEQUENCES AND GEOMETRIC OBJECTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33077@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE MESTRADO PROFISSIONAL EM MATEMÁTICA EM REDE NACIONAL<br>Este trabalho é uma análise de padrões que são modelados matematicamente através de conceitos que envolvem as sequências numéricas bem como aspectos geométricos. São consideradas algumas aplicações práticas de conteúdos trabalhados na educação básica, muitas vezes estudados de forma mecânica através de fórmulas que tornam a Matemática enfadonha e até sem sentido para os discentes. O objetivo é mostrar que a Mat
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Lewis, Mark A. "Analysis of dynamic and stationary biological pattern formation." Thesis, University of Oxford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276976.

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Crawford, David Michael. "Analysis of biological pattern formation models." Thesis, University of Oxford, 1989. http://ora.ox.ac.uk/objects/uuid:aaa19d3b-c930-4cfa-adc6-8ea498fa5695.

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In this thesis we examine mathematical models which have been suggested as possibile mechanisms for forming certain biological patterns. We analyse them in detail attempting to produce the requisite patterns both analytically and numerically. A reaction diffusion system in two spatial dimensions with anisotropic diffusion is examined in detail and the results compared with certain snakeskin patterns. We examine two other variants to the standard reaction diffusion system: a system where the reaction kinetics and the diffusion coefficients depend upon the cell density suggested as a possible mo
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Dabbah, Mohammad A. "Non-reversible mathematical transforms for secure biometric face recognition." Thesis, University of Newcastle upon Tyne, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548002.

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As the demand for higher and more sophisticated security solutions has dramatically increased, a trustworthy and a more intelligent authentication technology has to takeover. That is biometric authentication. Although biometrics provides promising solutions, it is still a pattern recognition and artificial intelligence grand challenge. More importantly, biometric data in itself are vulnerable and requires comprehensive protection that ensures their security at every stage of the authentication procedure including the processing stage. Without this protection biometric authentication cannot rep
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Books on the topic "Mathematical pattern"

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Pattern puzzles. Franklin Watts, 2015.

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1932-, Dutta Majumder D., ed. Fuzzy mathematical approach to pattern recognition. Wiley, 1986.

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Maini, Philip K., and Hans G. Othmer, eds. Mathematical Models for Biological Pattern Formation. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0133-2.

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General pattern theory: A mathematical study of regular structures. Clarendon, 1993.

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Lewis, Robert Michael. Why pattern search works. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1998.

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Bowen, Lynda. Pattern block activities. Exclusive Educational Products, 1989.

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Latorre Carmona, Pedro, J. Salvador Sánchez, and Ana L. N. Fred, eds. Mathematical Methodologies in Pattern Recognition and Machine Learning. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5076-4.

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Wei, Juncheng, and Matthias Winter. Mathematical Aspects of Pattern Formation in Biological Systems. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5526-3.

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Misha, Gromov, Harel-Bellan Annick, Morozova Nadya, Pritchard Linda Louise, and SpringerLink (Online service), eds. Pattern Formation in Morphogenesis: Problems and Mathematical Issues. Springer Berlin Heidelberg, 2013.

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Kinetic theory of living pattern. Cambridge University Press, 1993.

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Book chapters on the topic "Mathematical pattern"

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Herman, Gabor T. "Mathematical Background." In Advances in Pattern Recognition. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84628-723-7_15.

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Li, Stan Z. "Mathematical MRF Models." In Advances in Pattern Recognition. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-279-1_2.

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Silversides, Katherine L. "Pattern Classification." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-26050-7_242-1.

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Thakur, Sanchari, LakshmiKanthan Muralikrishnan, Bijal Chudasama, and Alok Porwal. "Pattern Analysis." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-26050-7_241-1.

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Negri, Rogério G. "Pattern Recognition." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-26050-7_244-1.

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Pach, János, and Micha Sharir. "Extremal combinatorics: Repeated patterns and pattern recognition." In Mathematical Surveys and Monographs. American Mathematical Society, 2008. http://dx.doi.org/10.1090/surv/152/06.

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Murray, James D. "Neural Models of Pattern Formation." In Mathematical Biology. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-08539-4_16.

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Murray, James D. "Neural Models of Pattern Formation." In Mathematical Biology. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-08542-4_16.

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Stoyan, Dietrich. "Point Pattern Statistics." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26050-7_404-1.

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Fink, Gernot A. "Foundations of Mathematical Statistics." In Markov Models for Pattern Recognition. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6308-4_3.

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Conference papers on the topic "Mathematical pattern"

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Mohamed, Marina, Nazihah Ismail, Syafiza Saila Samsudin, and Noor Azimah Ibrahim. "Mathematical nature’s pattern in Zinnia Peruviana." In PROCEEDING OF THE 25TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM25): Mathematical Sciences as the Core of Intellectual Excellence. Author(s), 2018. http://dx.doi.org/10.1063/1.5041579.

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Buslaev, Alexander, Marina Yashina, Ruslan Abushov, and Igor Kotovich. "Mathematical Problems of Pattern Recognition for Traffic." In 2010 Seventh International Conference on Information Technology: New Generations. IEEE, 2010. http://dx.doi.org/10.1109/itng.2010.245.

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Takagi, Noboru. "A pattern recognition method of mathematical graphs." In 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2010. http://dx.doi.org/10.1109/icsmc.2010.5642470.

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Gokeri, A. M. "A Mathematical Model For Representing Patterns And Pattern Classes Using Semantic Nets." In 1984 Cambridge Symposium, edited by David P. Casasent and Ernest L. Hall. SPIE, 1985. http://dx.doi.org/10.1117/12.946181.

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Bouchoffra, D., and F. Ykhlef. "Mathematical models for machine learning and pattern recognition." In 2013 8th InternationalWorkshop on Systems, Signal Processing and their Applications (WoSSPA). IEEE, 2013. http://dx.doi.org/10.1109/wosspa.2013.6602331.

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Jia, Qi, Xitong Yang, Weidong Xu, Xuliang Lv, and Jianghua Hu. "Design of Camouflage Pattern Based on Mathematical Morphology." In 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/ammsa-17.2017.35.

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Das, Monidipa, and Soumya K. Ghosh. "Modeling Spatio-temporal Change Pattern using Mathematical Morphology." In CODS '16: IKDD Conference on Data Science, 2016. ACM, 2016. http://dx.doi.org/10.1145/2888451.2888458.

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Cotogni, Marco, Claudio Cusano, and Antonino Nocera. "Recursive Recognition of Offline Handwritten Mathematical Expressions." In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9413076.

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Mansor, Mohd Asyraf, Saratha Sathasivam, and Mohd Shareduwan Mohd Kasihmuddin. "Enhanced metaheuristic approach in pattern satisfiability problem." In PROCEEDING OF THE 25TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM25): Mathematical Sciences as the Core of Intellectual Excellence. Author(s), 2018. http://dx.doi.org/10.1063/1.5041557.

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HALL, B. D. "THE GUM TREE DESIGN PATTERN FOR UNCERTAINTY SOFTWARE." In Advanced Mathematical and Computational Tools in Metrology. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702647_0017.

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Reports on the topic "Mathematical pattern"

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Bilous, Vladyslav V., Volodymyr V. Proshkin, and Oksana S. Lytvyn. Development of AR-applications as a promising area of research for students. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4409.

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The article substantiates the importance of using augmented reality in the educational process, in particular, in the study of natural and mathematical disciplines. The essence of AR (augmented reality), characteristics of AR hardware and software, directions and advantages of using AR in the educational process are outlined. It has proven that AR is a unique tool that allows educators to teach the new digital generation in a readable, comprehensible, memorable and memorable format, which is the basis for developing a strong interest in learning. Presented the results of the international stud
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Markova, Oksana, Serhiy Semerikov та Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, 2018. http://dx.doi.org/10.31812/0564/2250.

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The role of neural network modeling in the learning сontent of special course “Foundations of Mathematic Informatics” was discussed. The course was developed for the students of technical universities – future IT-specialists and directed to breaking the gap between theoretic computer science and it’s applied applications: software, system and computing engineering. CoCalc was justified as a learning tool of mathematical informatics in general and neural network modeling in particular. The elements of technique of using CoCalc at studying topic “Neural network and pattern recognition” of the sp
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Bednar, Amy. Topological data analysis : an overview. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40943.

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A growing area of mathematics topological data analysis (TDA) uses fundamental concepts of topology to analyze complex, high-dimensional data. A topological network represents the data, and the TDA uses the network to analyze the shape of the data and identify features in the network that correspond to patterns in the data. These patterns extract knowledge from the data. TDA provides a framework to advance machine learning’s ability to understand and analyze large, complex data. This paper provides background information about TDA, TDA applications for large data sets, and details related to t
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Duch, Michael. Performing Hanne Darboven's Opus 17a and long duration minimalist music. Norges Musikkhøgskole, 2018. http://dx.doi.org/10.22501/nmh-ar.481276.

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Hanne Darboven’s (1941-2009) Opus 17a is a composition for solo double bass that is rarely performed due to the physical and mental challenges involved in its performance. It is one of four opuses from the composers monumental 1008 page Wünschkonzert (1984), and was composed during her period of making “mathematical music” based on mathematical systems where numbers were assigned to certain notes and translated to musical scores. It can be described as large-scale minimalism and it is highly repetitive, but even though the same notes and intervals keep repeating, the patterns slightly change t
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Nelson, Gena, Angela Crawford, and Jessica Hunt. A Systematic Review of Research Syntheses for Students with Mathematics Learning Disabilities and Difficulties. Boise State University, Albertsons Library, 2022. http://dx.doi.org/10.18122/sped.143.boisestate.

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The purpose of this document is to provide readers with the coding protocol that authors used to code 36 research syntheses (including meta-analyses, evidence-based reviews, and quantitative systematic reviews) focused on mathematics interventions for students with learning disabilities (LD), mathematics learning disabilities (MLD), and mathematics difficulties (MD). The purpose of the systematic review of mathematics intervention syntheses was to identify patterns and gaps in content areas, instructional strategies, effect sizes, and definitions of LD, MLD, and MD. We searched the literature
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Wallach, Rony, Tammo Steenhuis, Ellen R. Graber, David DiCarlo, and Yves Parlange. Unstable Flow in Repellent and Sub-critically Repellent Soils: Theory and Management Implications. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7592643.bard.

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Water repellency causes unstable wetting fronts that result in water moving in preferential flowpaths through homogeneous soils as well in structured soils where macropores enhance the preferential flow pattern. Water repellency is typically associated with extended water ponding on the soil surface, but we have found that repellency is important even before the water ponds. Preferential flow fingers can form under conditions where the contact angle is less than 90o, but greater than 0o. This means that even when the soil is considered wettable (i.e., immediate penetration of water), water dis
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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41042.

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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite ele
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