Artigos de revistas sobre o tema "Clusters detection"
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AHMAD, WASEEM, e AJIT NARAYANAN. "OUTLIER DETECTION USING HUMORAL-MEDIATED CLUSTERING (HAIS)". International Journal of Computational Intelligence and Applications 11, n.º 01 (março de 2012): 1250003. http://dx.doi.org/10.1142/s1469026812500034.
Texto completo da fonteXu, Weiwei, Miriam E. Ramos-Ceja, Florian Pacaud, Thomas H. Reiprich e Thomas Erben. "Catalog of X-ray-selected extended galaxy clusters from the ROSAT All-Sky Survey (RXGCC)". Astronomy & Astrophysics 658 (fevereiro de 2022): A59. http://dx.doi.org/10.1051/0004-6361/202140908.
Texto completo da fonteReduzzi, Carolina, Serena Di Cosimo, Lorenzo Gerratana, Rosita Motta, Antonia Martinetti, Andrea Vingiani, Paolo D’Amico et al. "Circulating Tumor Cell Clusters Are Frequently Detected in Women with Early-Stage Breast Cancer". Cancers 13, n.º 10 (13 de maio de 2021): 2356. http://dx.doi.org/10.3390/cancers13102356.
Texto completo da fonteMas, J.-F., A. Pérez Vega e A. Ghilardi. "EFFECT OF THE DELAY IN THE REPORTS OF COVID-19 CASES ON NEAR REAL-TIME CLUSTERS DETECTION". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (13 de dezembro de 2023): 457–62. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-457-2023.
Texto completo da fonteBaker, Meghan A., Deborah S. Yokoe, John Stelling, Ken Kleinman, Rebecca E. Kaganov, Alyssa R. Letourneau, Neha Varma et al. "Automated outbreak detection of hospital-associated pathogens: Value to infection prevention programs". Infection Control & Hospital Epidemiology 41, n.º 9 (10 de junho de 2020): 1016–21. http://dx.doi.org/10.1017/ice.2020.233.
Texto completo da fonteToo, L. S., J. Pirkis, A. Milner e M. J. Spittal. "Clusters of suicides and suicide attempts: detection, proximity and correlates". Epidemiology and Psychiatric Sciences 26, n.º 5 (9 de junho de 2016): 491–500. http://dx.doi.org/10.1017/s2045796016000391.
Texto completo da fonteBarthakur, Pijush, Manoj Dahal e Mrinal Kanti Ghose. "CluSiBotHealer: Botnet Detection through Similarity Analysis of Clusters". Journal of Advances in Computer Networks 3, n.º 1 (2015): 49–55. http://dx.doi.org/10.7763/jacn.2015.v3.141.
Texto completo da fonteKremer, Kyle, Dongzi Li, Wenbin Lu, Anthony L. Piro e Bing Zhang. "Prospects for Detecting Fast Radio Bursts in the Globular Clusters of Nearby Galaxies". Astrophysical Journal 944, n.º 1 (1 de fevereiro de 2023): 6. http://dx.doi.org/10.3847/1538-4357/acabbf.
Texto completo da fonteMirmelstein, M., M. Shimon e Y. Rephaeli. "Detection likelihood of cluster-induced CMB polarization". Astronomy & Astrophysics 644 (30 de novembro de 2020): A36. http://dx.doi.org/10.1051/0004-6361/201834657.
Texto completo da fonteMasuda, Ryo, e Ryo Inoue. "Point Event Cluster Detection via the Bayesian Generalized Fused Lasso". ISPRS International Journal of Geo-Information 11, n.º 3 (11 de março de 2022): 187. http://dx.doi.org/10.3390/ijgi11030187.
Texto completo da fonteFOGGIA, PASQUALE, GENNARO PERCANNELLA, CARLO SANSONE e MARIO VENTO. "A GRAPH-BASED ALGORITHM FOR CLUSTER DETECTION". International Journal of Pattern Recognition and Artificial Intelligence 22, n.º 05 (agosto de 2008): 843–60. http://dx.doi.org/10.1142/s0218001408006557.
Texto completo da fonteTarrío, P., J. B. Melin e M. Arnaud. "A matched filter approach for blind joint detection of galaxy clusters in X-ray and SZ surveys". Astronomy & Astrophysics 614 (junho de 2018): A82. http://dx.doi.org/10.1051/0004-6361/201731984.
Texto completo da fonteUllah, Sami, Fahim Raees e Zahid Khan. "Detection of Space-Time Disease Clusters Using A Matrix Factorization Method". STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 4, n.º 1 (26 de abril de 2022): 1–9. http://dx.doi.org/10.52700/scir.v4i1.78.
Texto completo da fonteUllah, Sami, Fahim Raees e Zahid Khan. "Detection of Space-Time Disease Clusters Using A Matrix Factorization Method". STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 4, n.º 1 (26 de abril de 2022): 1–9. http://dx.doi.org/10.52700/scir.v4i1.78.
Texto completo da fonteUllah, Sami, Fahim Raees e Zahid Khan. "Detection of Space-Time Disease Clusters Using A Matrix Factorization Method". STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 4, n.º 1 (26 de abril de 2022): 1–9. http://dx.doi.org/10.52700/scir.v4i1.78.
Texto completo da fonteROUNDS, J. M., D. J. BOXRUD, S. L. JAWAHIR e K. E. SMITH. "Dynamics ofEscherichia coliO157:H7 outbreak detection and investigation, Minnesota 2000–2008". Epidemiology and Infection 140, n.º 8 (18 de novembro de 2011): 1430–38. http://dx.doi.org/10.1017/s0950268811002330.
Texto completo da fonteDi Mascolo, Luca, Tony Mroczkowski, Eugene Churazov, Emily Moravec, Mark Brodwin, Anthony Gonzalez, Bandon B. Decker et al. "The Massive and Distant Clusters of WISE Survey". Astronomy & Astrophysics 638 (junho de 2020): A70. http://dx.doi.org/10.1051/0004-6361/202037818.
Texto completo da fonteDanganan, Alvincent Egonia, Ariel M. Sison e Ruji P. Medina. "OCA: overlapping clustering application unsupervised approach for data analysis". Indonesian Journal of Electrical Engineering and Computer Science 14, n.º 3 (1 de junho de 2019): 1471. http://dx.doi.org/10.11591/ijeecs.v14.i3.pp1471-1478.
Texto completo da fonteKäfer, Florian, Alexis Finoguenov, Dominique Eckert, Nicolas Clerc, Miriam E. Ramos-Ceja, Jeremy S. Sanders e Vittorio Ghirardini. "Toward the low-scatter selection of X-ray clusters". Astronomy & Astrophysics 634 (28 de janeiro de 2020): A8. http://dx.doi.org/10.1051/0004-6361/201936131.
Texto completo da fonteXie, Yiqun, Xiaowei Jia, Shashi Shekhar, Han Bao e Xun Zhou. "Significant DBSCAN+: Statistically Robust Density-based Clustering". ACM Transactions on Intelligent Systems and Technology 12, n.º 5 (31 de outubro de 2021): 1–26. http://dx.doi.org/10.1145/3474842.
Texto completo da fonteJiongzhou, Liu, Li Jituo e Lu Guodong. "Deformation similarity clustering based collision detection in clothing simulation". International Journal of Clothing Science and Technology 26, n.º 5 (26 de agosto de 2014): 395–411. http://dx.doi.org/10.1108/ijcst-08-2013-0095.
Texto completo da fonteE.Sateesh, E. Sateesh, e M. L. Prasanthi M.L.Prasanthi. "Classic Outlier Detection from Web Clusters using Disimilarity Measure". Paripex - Indian Journal Of Research 2, n.º 3 (15 de janeiro de 2012): 98–101. http://dx.doi.org/10.15373/22501991/mar2013/37.
Texto completo da fonteHuang, Lan, Linda W. Pickle, David Stinchcomb e Eric J. Feuer. "Detection of Spatial Clusters". Epidemiology 18, n.º 1 (janeiro de 2007): 73–87. http://dx.doi.org/10.1097/01.ede.0000249994.30736.24.
Texto completo da fonteHeld, Janis, Anna Beer e Thomas Seidl. "Chain-detection Between Clusters". Datenbank-Spektrum 19, n.º 3 (13 de setembro de 2019): 219–30. http://dx.doi.org/10.1007/s13222-019-00324-9.
Texto completo da fonteJokinen, T., M. Sipilä, H. Junninen, M. Ehn, G. Lönn, J. Hakala, T. Petäjä, R. L. Mauldin III, M. Kulmala e D. R. Worsnop. "Atmospheric sulphuric acid and neutral cluster measurements using CI-APi-TOF". Atmospheric Chemistry and Physics Discussions 11, n.º 12 (6 de dezembro de 2011): 31983–2002. http://dx.doi.org/10.5194/acpd-11-31983-2011.
Texto completo da fonteJokinen, T., M. Sipilä, H. Junninen, M. Ehn, G. Lönn, J. Hakala, T. Petäjä, R. L. Mauldin, M. Kulmala e D. R. Worsnop. "Atmospheric sulphuric acid and neutral cluster measurements using CI-APi-TOF". Atmospheric Chemistry and Physics 12, n.º 9 (9 de maio de 2012): 4117–25. http://dx.doi.org/10.5194/acp-12-4117-2012.
Texto completo da fonteKitayama, Takumi, Masaya Kozuka, Yasuhiro Aruga e Chikara Ichihara. "A Precise Method for Analysis of Elemental Distribution Inside Solute Clusters". Microscopy and Microanalysis 25, n.º 2 (15 de março de 2019): 349–55. http://dx.doi.org/10.1017/s1431927619000126.
Texto completo da fonteWang, Jing Hua, Xin Xiang Zhao, Peng Jin e Guo Yan Zhang. "An Optimized Pruning-Based Outlier Detecting Algorithm". Applied Mechanics and Materials 411-414 (setembro de 2013): 1076–80. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1076.
Texto completo da fonteLubin, Lori M. "Clusters in the Optical". Highlights of Astronomy 13 (2005): 286–90. http://dx.doi.org/10.1017/s1539299600015811.
Texto completo da fonteFang, Changjian, Dejun Mu, Zhenghong Deng, Jun Hu e Chen-He Yi. "Fast detection of the fuzzy communities based on leader-driven algorithm". International Journal of Modern Physics B 32, n.º 06 (26 de fevereiro de 2018): 1850058. http://dx.doi.org/10.1142/s0217979218500583.
Texto completo da fonteBogdán, Ákos, Lorenzo Lovisari, Patrick Ogle, Orsolya E. Kovács, Thomas Jarrett, Christine Jones, William R. Forman e Lauranne Lanz. "Detection of a Superluminous Spiral Galaxy in the Heart of a Massive Galaxy Cluster". Astrophysical Journal 930, n.º 2 (1 de maio de 2022): 138. http://dx.doi.org/10.3847/1538-4357/ac62cd.
Texto completo da fonteSafonova, Margarita, e Sohrab Rahvar. "Detection of IMBHs from microlensing in globular clusters". Proceedings of the International Astronomical Union 2, S238 (agosto de 2006): 439–40. http://dx.doi.org/10.1017/s1743921307005844.
Texto completo da fonteNenashev, Vadim A., Igor G. Khanykov e Mikhail V. Kharinov. "A Model of Pixel and Superpixel Clustering for Object Detection". Journal of Imaging 8, n.º 10 (6 de outubro de 2022): 274. http://dx.doi.org/10.3390/jimaging8100274.
Texto completo da fonteSmyser, Timothy J., Richard J. Guenzel, Christopher N. Jacques e Edward O. Garton. "Double-observer evaluation of pronghorn aerial line-transect surveys". Wildlife Research 43, n.º 6 (2016): 474. http://dx.doi.org/10.1071/wr16006.
Texto completo da fonteFilippi, Margaux, Irina I. Rypina, Alireza Hadjighasem e Thomas Peacock. "An Optimized-Parameter Spectral Clustering Approach to Coherent Structure Detection in Geophysical Flows". Fluids 6, n.º 1 (12 de janeiro de 2021): 39. http://dx.doi.org/10.3390/fluids6010039.
Texto completo da fonteErly, Steven J., Joshua T. Herbeck, Roxanne P. Kerani e Jennifer R. Reuer. "Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Using Machine Learning Methods and Statewide Surveillance Data in Washington State". Viruses 12, n.º 2 (26 de janeiro de 2020): 142. http://dx.doi.org/10.3390/v12020142.
Texto completo da fonteShoji, Tomokazu, Natsu Sato, Haruhisa Fukuda, Yuichi Muraki, Keishi Kawata e Manabu Akazawa. "Clinical Implication of the Relationship between Antimicrobial Resistance and Infection Control Activities in Japanese Hospitals: A Principal Component Analysis-Based Cluster Analysis". Antibiotics 11, n.º 2 (10 de fevereiro de 2022): 229. http://dx.doi.org/10.3390/antibiotics11020229.
Texto completo da fonteDuan, Guiqin, e Chensong Zou. "A clustering effectiveness measurement model based on merging similar clusters". PeerJ Computer Science 10 (29 de fevereiro de 2024): e1863. http://dx.doi.org/10.7717/peerj-cs.1863.
Texto completo da fonteWest, Michael J., Patrick Côté, Henry C. Ferguson, Michael D. Gregg, Andrés Jordán, Ronald O. Marzke, Nial R. Tanvir e Ted von Hippel. "Intergalactic Globular Clusters". Highlights of Astronomy 13 (2005): 175–76. http://dx.doi.org/10.1017/s1539299600015513.
Texto completo da fonteBevington, Connor WJ, Ju-Chieh (Kevin) Cheng, Ivan S. Klyuzhin, Mariya V. Cherkasova, Catharine A. Winstanley e Vesna Sossi. "A Monte Carlo approach for improving transient dopamine release detection sensitivity". Journal of Cerebral Blood Flow & Metabolism 41, n.º 1 (12 de fevereiro de 2020): 116–31. http://dx.doi.org/10.1177/0271678x20905613.
Texto completo da fonteMa, Shu Hua, Jin Kuan Wang, Zhi Gang Liu e Hou Yan Jiang. "Density-Based Distributed Elliptical Anomaly Detection in Wireless Sensor Networks". Applied Mechanics and Materials 249-250 (dezembro de 2012): 226–30. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.226.
Texto completo da fonteGran, F., M. Zoccali, R. Contreras Ramos, E. Valenti, A. Rojas-Arriagada, J. A. Carballo-Bello, J. Alonso-García, D. Minniti, M. Rejkuba e F. Surot. "Globular cluster candidates in the Galactic bulge: Gaia and VVV view of the latest discoveries". Astronomy & Astrophysics 628 (agosto de 2019): A45. http://dx.doi.org/10.1051/0004-6361/201834986.
Texto completo da fonteGrosbøl, Preben, e Horacio Dottori. "Comparing ALMA, VLT, and HST data for Massive, Young Clusters in Grand-Design Spirals". Proceedings of the International Astronomical Union 12, S316 (agosto de 2015): 141–42. http://dx.doi.org/10.1017/s1743921316007080.
Texto completo da fonteKlesman, Alison J., e Vicki L. Sarajedini. "Multiwavelength Detection of Cluster AGN". Proceedings of the International Astronomical Union 5, S267 (agosto de 2009): 112. http://dx.doi.org/10.1017/s1743921310005739.
Texto completo da fonteJin, Xin, Hui Quan Wang e Zhong He Jin. "Anomaly detection of satellite telemetry data based on extended dominant sets clustering". Journal of Physics: Conference Series 2489, n.º 1 (1 de maio de 2023): 012036. http://dx.doi.org/10.1088/1742-6596/2489/1/012036.
Texto completo da fonteKavitha, R., C. kotteeswari e G. Sumathi. "Memory Leak Detection in Clusters". International Journal of Computer Applications 3, n.º 1 (10 de junho de 2010): 13–16. http://dx.doi.org/10.5120/702-985.
Texto completo da fonteMartin, T. P., T. Bergmann, U. Näher, H. Schaber e U. Zimmermann. "Detection of large fullerene clusters". Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 88, n.º 1-2 (abril de 1994): 1–5. http://dx.doi.org/10.1016/0168-583x(94)96070-4.
Texto completo da fonteR., Yasir Abdullah, Mary Posonia A. e Barakkath Nisha U. "A Graph Correlated Anomaly Detection with Fuzzy Model for Distributed Wireless Sensor Networks". International Journal of Electrical and Electronic Engineering & Telecommunications 12, n.º 5 (2023): 306–16. http://dx.doi.org/10.18178/ijeetc.12.5.306-316.
Texto completo da fonteHao, ZiQi, ZhenJiang Zhang e Han-Chieh Chao. "A Cluster-Based Fuzzy Fusion Algorithm for Event Detection in Heterogeneous Wireless Sensor Networks". Journal of Sensors 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/641235.
Texto completo da fonteMoss, Maxamillian A. N., Dagen D. Hughes, Ian Crawford, Martin W. Gallagher, Michael J. Flynn e David O. Topping. "Comparative Analysis of Traditional and Advanced Clustering Techniques in Bioaerosol Data: Evaluating the Efficacy of K-Means, HCA, and GenieClust with and without Autoencoder Integration". Atmosphere 14, n.º 9 (8 de setembro de 2023): 1416. http://dx.doi.org/10.3390/atmos14091416.
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