Academic literature on the topic 'Shingling'

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Journal articles on the topic "Shingling"

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Sun, Mengyao, and Jie Zhang. "The near-surface velocity reversal and its detection via unsupervised machine learning." GEOPHYSICS 85, no. 3 (May 1, 2020): U55—U63. http://dx.doi.org/10.1190/geo2019-0025.1.

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In land seismic data processing, picking the first arrivals and imaging the near-surface velocity structures are important tasks. However, in many areas, the near-surface weathering layer includes high-velocity reversals, causing the first arrivals to exhibit shingling effects, which are difficult for picking at the far offset. We have used an acoustic full-waveform modeling method in a multilayered half-space to simulate first arrivals with the velocity reversal. Numerical tests indicate that under certain conditions, shingling occurs if the seismic wave propagates through a thin velocity rev
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Fountain, David M., and Susan H. Treagus. "Editors Raise the Roof Over Shingling." Geology 23, no. 10 (1995): 867. http://dx.doi.org/10.1130/0091-7613(1995)023<0867:ertros>2.3.co;2.

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Sohrabi, Mohammad Karim, and Hossein Azgomi. "Finding Similar Documents Using Frequent Pattern Mining Methods." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 27, no. 01 (February 2019): 73–96. http://dx.doi.org/10.1142/s0218488519500041.

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Various problems are just rising with regard to mining in massive datasets, among which finding similar documents can be pinpointed. The Shingling method converts this problem to a set-based problem. Some of existing methods have used min-hashing to compress the results already driven from the shingling method and then have exploited LSH method to find candidate pairs for similarity search from all pairs of documents. In this paper, an apriori-based method is proposed for finding similar documents based on frequent itemset mining approach. To this end, the apriori algorithm is modified and is
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Tonini, D., G. Cellere, M. Bertazzo, A. Fecchio, L. Cerasti, and M. Galiazzo. "Shingling Technology For Cell Interconnection: Technological Aspects And Process Integration." Energy Procedia 150 (September 2018): 36–43. http://dx.doi.org/10.1016/j.egypro.2018.09.010.

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Schulte-Huxel, Henning, Susanne Blankemeyer, Arnaud Morlier, Rolf Brendel, and Marc Köntges. "Interconnect-shingling: Maximizing the active module area with conventional module processes." Solar Energy Materials and Solar Cells 200 (September 2019): 109991. http://dx.doi.org/10.1016/j.solmat.2019.109991.

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Chandrasekaran, Selvan, and Pornchai Supnithi. "A Spinstand Study in Determining the Optimum Shingling Percentage for Shingled Write Recording." IEEE Transactions on Magnetics 49, no. 6 (June 2013): 2544–47. http://dx.doi.org/10.1109/tmag.2013.2252885.

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Gaikwad, Sushma Vishwanath, Shilpa Chougule, and Shrikant Charhate. "Detection and Prevention of Sensitive Data From Data Leak Using Shingling and Rabin Filter." International Journal on Advanced Science, Engineering and Information Technology 6, no. 5 (October 23, 2016): 663. http://dx.doi.org/10.18517/ijaseit.6.5.997.

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Choi, S. D., and T. K. Fredericks. "Surface slope effects on shingling frequency and postural balance in a simulated roofing task." Ergonomics 51, no. 3 (March 2008): 330–44. http://dx.doi.org/10.1080/00140130701652824.

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Khan, Liyakath, Mohammed Ahmed, and Husni Almistarihi. "A Novel Technique Using Multiple K-Shingling Based Weighted Dissimilarity Score for Web Content Outlier Mining." International Journal of Intelligent Engineering and Systems 12, no. 4 (August 31, 2019): 244–54. http://dx.doi.org/10.22266/ijies2019.0831.23.

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Collette, Joseph H., Kenneth C. Gass, and James W. Hagadorn. "Protichnites eremita unshelled? Experimental model-based neoichnology and new evidence for a euthycarcinoid affinity for this ichnospecies." Journal of Paleontology 86, no. 3 (May 2012): 442–54. http://dx.doi.org/10.1666/11-056.1.

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Protichnites eremita from the Cambrian Elk Mound Group of Wisconsin is reinterpreted based on new material and trackway experiments. Two new forms of P. eremita suggest that the discrete medial imprints of these traces could be produced by the segmented postabdomen of euthycarcinoids from the same deposit. Form 1 could have been produced by a pair of euthycarcinoids traveling together, like in limulid amplexus, where both individuals made imprints with their postabdomens. In this scenario, if one individual held its postabdomen to the left side, it is possible to produce left-handed shingling
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Dissertations / Theses on the topic "Shingling"

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Bernstein, Yaniv, and ybernstein@gmail com. "Detection and management of redundancy for information retrieval." RMIT University. Computer Science and Information Technology, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070417.160526.

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The growth of the web, authoring software, and electronic publishing has led to the emergence of a new type of document collection that is decentralised, amorphous, dynamic, and anarchic. In such collections, redundancy is a significant issue. Documents can spread and propagate across such collections without any control or moderation. Redundancy can interfere with the information retrieval process, leading to decreased user amenity in accessing information from these collections, and thus must be effectively managed. The precise definition of redundancy varies with the application
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Song, Bowen. "Scalable string reconciliation by recursive content-dependent shingling." Thesis, 2019. https://hdl.handle.net/2144/36028.

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We consider the problem of reconciling similar strings in a distributed system. Specifically, we are interested in performing this reconciliation in an efficient manner, minimizing the communication cost. Our problem applies to several types of large-scale distributed networks, file synchronization utilities, and any system that manages the consistency of string encoded ordered data. We present the novel Recursive Content-Dependent Shingling (RCDS) protocol that can handle large strings and has the communication complexity that scales with the edit distance between the reconciling strings. Als
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Chiang, hsuantsai, and 江選才. "An Investigation of Seniors Partake in Daoism Activities and Their Success inAging:A Case Study of ShingLing Temple Puli ,Taiwan." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/59661621053799900759.

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碩士<br>南開科技大學<br>福祉科技與服務管理所<br>100<br>The purpose of the research is to investigate the seniors who partake in Daoism activities and their successful aging. The study is based on surveys by the followers of Shin Ling Temple that were randomly selected. Three hundred participants were randomly selected, and 268 valid samples were collected, including 136 completed by elderly over the age of 65. In order to understand the relationship between different types of religious activities and their contribution to elderly health, the contents of the survey includes: A、spiritual entrustment;B、social stat
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Books on the topic "Shingling"

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Tenders wanted: Tenders addressed to the county clerk will be received until noon ... for re-shingling the county gaol and gaoler's residence .. [S.l: s.n., 1987.

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Book chapters on the topic "Shingling"

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Cook, Frederick A. "Continental evolution by lithospheric shingling." In Reflection Seismology: The Continental Crust, 13–19. Washington, D. C.: American Geophysical Union, 1986. http://dx.doi.org/10.1029/gd014p0013.

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Li, Peng, Tianling Qiao, Yongxing Guang, and Lan Zhang. "A New Shingling Similar Text Detection Algorithm." In Advances in Intelligent Systems and Computing, 83–92. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4575-1_9.

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Schenkel, Ralf. "Temporal Shingling for Version Identification in Web Archives." In Lecture Notes in Computer Science, 508–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12275-0_44.

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"shingling." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 1220. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_193076.

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"Timber shingling." In Spon's Estimating Cost Guide to Roofing, 51. Spon Press, 2003. http://dx.doi.org/10.1201/9781482265576-18.

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"Timber shingling." In Spon's Estimating Cost Guide to Roofing, 170–72. Spon Press, 2003. http://dx.doi.org/10.1201/9781482265576-39.

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Conference papers on the topic "Shingling"

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Gharghe, Zahra Eskandari, and Behrouz Minaei Bidgoli. "Weighted shingling: an adaptation of shingling for weighted shingles." In 2009 International Conference on Innovations in Information Technology (IIT). IEEE, 2009. http://dx.doi.org/10.1109/iit.2009.5413370.

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Song, Bowen, and Ari Trachtenberg. "Scalable String Reconciliation by Recursive Content-Dependent Shingling." In 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2019. http://dx.doi.org/10.1109/allerton.2019.8919901.

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Cedeno-Femandez, Jorge, and Francisco J. Torres-Rojas. "Using w-shingling to Group Similar Genes intoMetabuckets." In 2019 XLV Latin American Computing Conference (CLEI). IEEE, 2019. http://dx.doi.org/10.1109/clei47609.2019.235080.

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Sun, Mengyao, Jie Zhang, and Yihao Wang. "Recognizing shingling seismic data by unsupervised machine learning." In SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2995824.1.

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Yong Yao, Lei Peng, and Bian Li. "An improved method based on the recursive shingling algorithm." In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2015. http://dx.doi.org/10.1109/fskd.2015.7382142.

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Wang, Juan, Zhiqiu Guo, and Hao Jin. "ECA (Electrical Conductive Adhesive) INDUCED FAILURE ON SHINGLING MODULE." In Fourier Transform Spectroscopy. Washington, D.C.: OSA, 2018. http://dx.doi.org/10.1364/fts.2018.jt2a.10.

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Du, Yue, Yubing Li, Hongwei Liu, and Yi Luo. "Enhanced seismic wavepath analysis for near-surface shingling data." In First International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists, 2021. http://dx.doi.org/10.1190/segam2021-3584280.1.

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Wei, Yanwen, Mengyao Sun, and Haohuan Fu. "Training an Inverse Operator on Shingling Seismic Data based on cGANs." In SEG 2018 Workshop: SEG Maximizing Asset Value Through Artificial Intelligence and Machine Learning, Beijing, China, 17-19 September 2018. Society of Exploration Geophysicists and the Chinese Geophysical Society, 2018. http://dx.doi.org/10.1190/aiml2018-01.1.

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Das, S. P., A. Kumar, K. Pal, and K. S. Negi. "Complex Near-Surface Estimation from a Noisy Shingling 3D seismic data." In 1st Indian Near Surface Geophysics Conference & Exhibition. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201979032.

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