Artículos de revistas sobre el tema "Module clustering"
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Alshareef, Haya y Mashael Maashi. "Application of Multi-Objective Hyper-Heuristics to Solve the Multi-Objective Software Module Clustering Problem". Applied Sciences 12, n.º 11 (2 de junio de 2022): 5649. http://dx.doi.org/10.3390/app12115649.
Texto completoHou, Jie, Xiufen Ye, Chuanlong Li y Yixing Wang. "K-Module Algorithm: An Additional Step to Improve the Clustering Results of WGCNA Co-Expression Networks". Genes 12, n.º 1 (12 de enero de 2021): 87. http://dx.doi.org/10.3390/genes12010087.
Texto completoHu, Hai Yan y You Qiao Zhang. "The Study and Realization of Energy-Aware Routing Algorithm of Wireless Sensor Networks". Applied Mechanics and Materials 201-202 (octubre de 2012): 767–72. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.767.
Texto completoKirve, Shraddha. "Clustering Techniques in Wireless Sensor Networks: A Practical Study". International Journal for Research in Applied Science and Engineering Technology 9, n.º VI (10 de junio de 2021): 536–38. http://dx.doi.org/10.22214/ijraset.2021.34990.
Texto completoKarayiannis, Dimitrios y Spyros Tragoudas. "Clustering Network Modules with Different Implementations for Delay Minimization". VLSI Design 7, n.º 1 (1 de enero de 1998): 1–13. http://dx.doi.org/10.1155/1998/69289.
Texto completoMohammad Shahid, Sunil Gupta y MS. Sofia Pillai. "Machine Learning-Based False Positive Software Vulnerability Analysis". Global Journal of Innovation and Emerging Technology 1, n.º 1 (15 de junio de 2022): 29–35. http://dx.doi.org/10.58260/j.iet.2202.0105.
Texto completoStrauch, Martin, Jochen Supper, Christian Spieth, Dierk Wanke, Joachim Kilian, Klaus Harter y Andreas Zell. "A Two-Step Clustering for 3-D Gene Expression Data Reveals the Main Features of the Arabidopsis Stress Response". Journal of Integrative Bioinformatics 4, n.º 1 (1 de marzo de 2007): 81–93. http://dx.doi.org/10.1515/jib-2007-54.
Texto completoYu, Limin, Xianjun Shen, Jincai Yang, Kaiping Wei, Duo Zhong y Ruilong Xiang. "Hypergraph Clustering Based on Game-Theory for Mining Microbial High-Order Interaction Module". Evolutionary Bioinformatics 16 (enero de 2020): 117693432097057. http://dx.doi.org/10.1177/1176934320970572.
Texto completoAlam, M. K., Azrina Abd Aziz, S. A. Latif y Azlan Awang. "Error-Aware Data Clustering for In-Network Data Reduction in Wireless Sensor Networks". Sensors 20, n.º 4 (13 de febrero de 2020): 1011. http://dx.doi.org/10.3390/s20041011.
Texto completoWu, Yong Liang, Bao Quan Mao, Li Xu, Dong Ming Dai y Yan Chao Liu. "The Evaluation of Module Division Programme Based on Information Entropy". Advanced Materials Research 479-481 (febrero de 2012): 1592–95. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1592.
Texto completoLi, Lianwei, Cunjin Xue, Yangfeng Xu, Chengbin Wu y Chaoran Niu. "PoSDMS: A Mining System for Oceanic Dynamics with Time Series of Raster-Formatted Datasets". Remote Sensing 14, n.º 13 (22 de junio de 2022): 2991. http://dx.doi.org/10.3390/rs14132991.
Texto completoLing, Yawen, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu y Lifang He. "Dual Label-Guided Graph Refinement for Multi-View Graph Clustering". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 7 (26 de junio de 2023): 8791–98. http://dx.doi.org/10.1609/aaai.v37i7.26057.
Texto completoJeet, Kawal y Renu Dhir. "Software Module Clustering Using Hybrid SocioEvolutionary Algorithms". International Journal of Information Engineering and Electronic Business 8, n.º 4 (8 de julio de 2016): 43–53. http://dx.doi.org/10.5815/ijieeb.2016.04.06.
Texto completoSun, Jiaze y Beilei Ling. "Software Module Clustering Algorithm Using Probability Selection". Wuhan University Journal of Natural Sciences 23, n.º 2 (19 de marzo de 2018): 93–102. http://dx.doi.org/10.1007/s11859-018-1299-9.
Texto completoChen, F. Y. y G. W. Zhang. "The Module Partition Approach for the Personalized Products and Production". Materials Science Forum 697-698 (septiembre de 2011): 650–55. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.650.
Texto completoSamrin, Rafath y Devara Vasumathi. "Hybrid Weighted K-Means Clustering and Artificial Neural Network for an Anomaly-Based Network Intrusion Detection System". Journal of Intelligent Systems 27, n.º 2 (28 de marzo de 2018): 135–47. http://dx.doi.org/10.1515/jisys-2016-0105.
Texto completoHwa, Jimin, Shin Yoo, Yeong-Seok Seo y Doo-Hwan Bae. "Search-Based Approaches for Software Module Clustering Based on Multiple Relationship Factors". International Journal of Software Engineering and Knowledge Engineering 27, n.º 07 (septiembre de 2017): 1033–62. http://dx.doi.org/10.1142/s0218194017500395.
Texto completoYou, Ying, Zhiqiang Liu, Youqian Liu, Ning Peng, Jian Wang, Yizhe Huang y Qibai Huang. "K-Means Module Division Method of FDM3D Printer-Based Function–Behavior–Structure Mapping". Applied Sciences 13, n.º 13 (23 de junio de 2023): 7453. http://dx.doi.org/10.3390/app13137453.
Texto completoArasteh, Bahman, Peri Gunes, Asgarali Bouyer, Farhad Soleimanian Gharehchopogh, Hamed Alipour Banaei y Reza Ghanbarzadeh. "A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering". Complexity 2023 (27 de diciembre de 2023): 1–16. http://dx.doi.org/10.1155/2023/3988288.
Texto completoHu, Jinyu y Zhiwei Gao. "Modules Identification in Gene Positive Networks of Hepatocellular Carcinoma Using Pearson Agglomerative Method and Pearson Cohesion Coupling Modularity". Journal of Applied Mathematics 2012 (2012): 1–21. http://dx.doi.org/10.1155/2012/248658.
Texto completoPan, Chao, Qide Tan y Benshuang Qin. "A new method of wind speed prediction based on weighted optimal fuzzy c-means and modular extreme learning machine". Wind Engineering 42, n.º 5 (1 de junio de 2018): 447–57. http://dx.doi.org/10.1177/0309524x18779337.
Texto completoWang, Li Jing, Tao Xi, Yin Feng Zhou y Run Hua Tan. "Product Module Partition Method for Product Lifecycle Based on LSSVC". Advanced Materials Research 139-141 (octubre de 2010): 1540–44. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1540.
Texto completoLange, Danillo, Marc Ribalta, Lluís Echeverria y Joshua Pocock. "Profiling urban water consumption using autoencoders and time-series clustering techniques". IOP Conference Series: Earth and Environmental Science 1136, n.º 1 (1 de enero de 2023): 012005. http://dx.doi.org/10.1088/1755-1315/1136/1/012005.
Texto completoChen, Jianguo, Kenli Li, Keqin Li, Philip S. Yu y Zeng Zeng. "Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network". ACM Transactions on Intelligent Systems and Technology 12, n.º 2 (marzo de 2021): 1–22. http://dx.doi.org/10.1145/3446342.
Texto completoSrivastava, Vivek, Bipin K. Tripathi y Vinay K. Pathak. "Hybrid Computation Model for Intelligent System Design by Synergism of Modified EFC with Neural Network". International Journal of Information Technology & Decision Making 14, n.º 01 (enero de 2015): 17–41. http://dx.doi.org/10.1142/s0219622014500813.
Texto completoSikka, Geeta y Harleen Kaur. "Enriching Module Dependency Graphs for Improved Software Clustering". International Journal of System of Systems Engineering 12, n.º 1 (2022): 1. http://dx.doi.org/10.1504/ijsse.2022.10038005.
Texto completoLi, Xiao Ling, Huai Min Wang, Chang Guo Guo, Bo Ding y Xiao Yong Li. "A Resource Finding Mechanism for Network Virtualization Environment". Advanced Materials Research 433-440 (enero de 2012): 5078–86. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5078.
Texto completoPuspitasari, Yenni, Imas Sukaesih Sitanggang y Rina Trisminingsih. "VISUALIZATION MODULE OF DENSITY-BASED CLUSTERING FOR HOTSPOT DISTRIBUTION IN INDONESIA USING MAPSERVER". Journal of Tropical Silviculture 7, n.º 3 (28 de diciembre de 2016): S58—S60. http://dx.doi.org/10.29244/j-siltrop.7.3.s58-s60.
Texto completoArasteh, Bahman, Amir Seyyedabbasi, Jawad Rasheed y Adnan M. Abu-Mahfouz. "Program Source-Code Re-Modularization Using a Discretized and Modified Sand Cat Swarm Optimization Algorithm". Symmetry 15, n.º 2 (2 de febrero de 2023): 401. http://dx.doi.org/10.3390/sym15020401.
Texto completoZhang, Meng, Guo Xi Li, Wei Li y Jing Zhong Gong. "Uneven Granular Module Clustering and Intelligent Optimization for Customizable Products". Applied Mechanics and Materials 215-216 (noviembre de 2012): 426–32. http://dx.doi.org/10.4028/www.scientific.net/amm.215-216.426.
Texto completoAltameem, Arwa A. y Alaaeldin M. Hafez. "Behavior Analysis Using Enhanced Fuzzy Clustering and Deep Learning". Electronics 11, n.º 19 (2 de octubre de 2022): 3172. http://dx.doi.org/10.3390/electronics11193172.
Texto completoGao, Shu Ying y Li Li. "Research of Generalized Structure Module Modeling Based on Similar Feature Clustering". Applied Mechanics and Materials 151 (enero de 2012): 61–65. http://dx.doi.org/10.4028/www.scientific.net/amm.151.61.
Texto completoJha, Monica y Swarup Roy. "Extracting Functional Modules from RNASeq Counts Using Ensemble of Clustering Based Module Detection Methods". Journal of Computational and Theoretical Nanoscience 15, n.º 6 (1 de junio de 2018): 2359–63. http://dx.doi.org/10.1166/jctn.2018.7469.
Texto completoXu, Yi Qiao. "Massive Data Analysis Based MapReduce Structure on Hadoop System". Advanced Materials Research 981 (julio de 2014): 262–66. http://dx.doi.org/10.4028/www.scientific.net/amr.981.262.
Texto completoZ. Zamli, Kamal, Abdulrahman Alsewari y Bestoun S. Ahmed. "Multi-Start Jaya Algorithm for Software Module Clustering Problem". Azerbaijan Journal of High Performance Computing 1, n.º 1 (10 de agosto de 2018): 87–112. http://dx.doi.org/10.32010/26166127.2018.1.1.87.112.
Texto completoMurtazin, D. G. y A. S. Belyaeva. "Development of the amplitude spectrum clustering module in Python". Automation, Telemechanization and Communication in Oil Industry, n.º 2 (2021): 6–11. http://dx.doi.org/10.33285/0132-2222-2021-2(571)-6-11.
Texto completoYoo, Jaewook. "Module Communization for Product Platform Design Using Clustering Analysis". Journal of Society of Korea Industrial and Systems Engineering 37, n.º 3 (30 de septiembre de 2014): 89–98. http://dx.doi.org/10.11627/jkise.2014.37.3.89.
Texto completoPraditwong, Kata, Mark Harman y Xin Yao. "Software Module Clustering as a Multi-Objective Search Problem". IEEE Transactions on Software Engineering 37, n.º 2 (marzo de 2011): 264–82. http://dx.doi.org/10.1109/tse.2010.26.
Texto completoKumari, A. Charan y K. Srinivas. "Hyper-heuristic approach for multi-objective software module clustering". Journal of Systems and Software 117 (julio de 2016): 384–401. http://dx.doi.org/10.1016/j.jss.2016.04.007.
Texto completoPutri, D. y I. S. Sitanggang. "Clustering Module in OLAP for Horticultural Crops using SpagoBI". IOP Conference Series: Earth and Environmental Science 58 (marzo de 2017): 012001. http://dx.doi.org/10.1088/1755-1315/58/1/012001.
Texto completoChen, Yan Hui y De Jian Zhou. "Min-Max Partition Method of Product Modularization Based on Fuzzy Clustering". Advanced Materials Research 308-310 (agosto de 2011): 273–79. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.273.
Texto completoGao, Zhenghao y Dan Li. "Blockchain-Based Neural Network Model for Agricultural Product Cold Chain Coordination". Computational Intelligence and Neuroscience 2022 (31 de mayo de 2022): 1–12. http://dx.doi.org/10.1155/2022/1760937.
Texto completoModi, M., N. G. Jadeja y K. Zala. "FMFinder: A Functional Module Detector for PPI Networks". Engineering, Technology & Applied Science Research 7, n.º 5 (19 de octubre de 2017): 2022–25. http://dx.doi.org/10.48084/etasr.1347.
Texto completoS., Gopinath. "Cluster based Optimal Energy Efficient Routing Protocol for Wireless Sensor Networks". Revista Gestão Inovação e Tecnologias 11, n.º 2 (5 de junio de 2021): 1921–32. http://dx.doi.org/10.47059/revistageintec.v11i2.1808.
Texto completoLin, Guoting, Zexun Zheng, Lin Chen, Tianyi Qin y Jiahui Song. "Multi-Modal 3D Shape Clustering with Dual Contrastive Learning". Applied Sciences 12, n.º 15 (22 de julio de 2022): 7384. http://dx.doi.org/10.3390/app12157384.
Texto completoBoubekki, Ahcène, Michael Kampffmeyer, Ulf Brefeld y Robert Jenssen. "Joint optimization of an autoencoder for clustering and embedding". Machine Learning 110, n.º 7 (21 de junio de 2021): 1901–37. http://dx.doi.org/10.1007/s10994-021-06015-5.
Texto completoRoberts, Wade R. y Eric H. Roalson. "Co-expression clustering across flower development identifies modules for diverse floral forms in Achimenes (Gesneriaceae)". PeerJ 8 (11 de marzo de 2020): e8778. http://dx.doi.org/10.7717/peerj.8778.
Texto completoSong, Zhiwei, Brittany Baur y Sushmita Roy. "Benchmarking graph representation learning algorithms for detecting modules in molecular networks". F1000Research 12 (7 de agosto de 2023): 941. http://dx.doi.org/10.12688/f1000research.134526.1.
Texto completoLiu, Chenghua, Zhuolin Liao, Yixuan Ma y Kun Zhan. "Stationary Diffusion State Neural Estimation for Multiview Clustering". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 7 (28 de junio de 2022): 7542–49. http://dx.doi.org/10.1609/aaai.v36i7.20719.
Texto completoHeinkel, Florian, Libin Abraham, Mary Ko, Joseph Chao, Horacio Bach, Lok Tin Hui, Haoran Li et al. "Phase separation and clustering of an ABC transporter in Mycobacterium tuberculosis". Proceedings of the National Academy of Sciences 116, n.º 33 (31 de julio de 2019): 16326–31. http://dx.doi.org/10.1073/pnas.1820683116.
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