Artigos de revistas sobre o tema "Dbsan"
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Al-Ameri, Mohammed Abdulbasit Ali, Basim Mahmood, Bünyamin Ciylan e Alaa Amged. "Unsupervised Forgery Detection of Documents: A Network-Inspired Approach". Electronics 12, n.º 7 (3 de abril de 2023): 1682. http://dx.doi.org/10.3390/electronics12071682.
Texto completo da fonteRodríguez L., Ingrid, César Honorio J., Julia Ramírez S., Zara León G. e Willman Alarcón G. "Efecto de un anticoccidial natural a base de saponinas de Yucca schidigera y Trigonella foenum-graecum sobre el control de coccidiosis en pollos de carne". Revista de Investigaciones Veterinarias del Perú 30, n.º 3 (10 de outubro de 2019): 1196–206. http://dx.doi.org/10.15381/rivep.v30i3.16597.
Texto completo da fonteLv, Yikun, He Jiang e Pinchen Pan. "NI-DBSCAN: DBSCAN under Non-IID". Journal of Physics: Conference Series 1533 (abril de 2020): 022110. http://dx.doi.org/10.1088/1742-6596/1533/2/022110.
Texto completo da fonteLulli, Alessandro, Matteo Dell'Amico, Pietro Michiardi e Laura Ricci. "NG-DBSCAN". Proceedings of the VLDB Endowment 10, n.º 3 (novembro de 2016): 157–68. http://dx.doi.org/10.14778/3021924.3021932.
Texto completo da fonteGiri, Kinsuk, Tuhin Kr Biswas e Pritisha Sarkar. "ECR-DBSCAN: An improved DBSCAN based on computational geometry". Machine Learning with Applications 6 (dezembro de 2021): 100148. http://dx.doi.org/10.1016/j.mlwa.2021.100148.
Texto completo da fonteFeng, Ling, Kejian Liu, Fuxi Tang e Qingrui Meng. "GO-DBSCAN: Improvements of DBSCAN Algorithm Based on Grid". International Journal of Computer Theory and Engineering 9, n.º 3 (2017): 151–55. http://dx.doi.org/10.7763/ijcte.2017.v9.1129.
Texto completo da fonteSchubert, Erich, Jörg Sander, Martin Ester, Hans Peter Kriegel e Xiaowei Xu. "DBSCAN Revisited, Revisited". ACM Transactions on Database Systems 42, n.º 3 (24 de agosto de 2017): 1–21. http://dx.doi.org/10.1145/3068335.
Texto completo da fonteChen, Guangsheng, Yiqun Cheng e Weipeng Jing. "DBSCAN-PSM: an improvement method of DBSCAN algorithm on Spark". International Journal of High Performance Computing and Networking 13, n.º 4 (2019): 417. http://dx.doi.org/10.1504/ijhpcn.2019.099265.
Texto completo da fonteJing, Weipeng, Guangsheng Chen e Yiqun Cheng. "DBSCAN-PSM: an improvement method of DBSCAN algorithm on Spark". International Journal of High Performance Computing and Networking 13, n.º 4 (2019): 417. http://dx.doi.org/10.1504/ijhpcn.2019.10020624.
Texto completo da fonteCheng, Dongdong, Cheng Zhang, Ya Li, Shuyin Xia, Guoyin Wang, Jinlong Huang, Sulan Zhang e Jiang Xie. "GB-DBSCAN: A fast granular-ball based DBSCAN clustering algorithm". Information Sciences 674 (julho de 2024): 120731. http://dx.doi.org/10.1016/j.ins.2024.120731.
Texto completo da fonteEisazadeh, Hossein, e Hamid Reza Khorshidi. "Preparation and characterization of polyaniline-DBSNa/Fe2O3and polyaniline-DBSNa/CoO nanocomposites using surfactive dopant sodium dodecylbenzenesulfonate (DBSNa)". Journal of Vinyl and Additive Technology 16, n.º 1 (março de 2010): 105–10. http://dx.doi.org/10.1002/vnl.20214.
Texto completo da fontePratama, Alfan Rizaldy, Bima Sena Bayu Dewantara, Dewi Mutiara Sari e Dadet Pramadihanto. "Improvement of DBSCAN Algorithm Involving Automatic Parameters Estimation and Curvature Analysis in 3D Point Cloud of Piled Pipe". Journal of Image and Graphics 12, n.º 2 (2024): 175–85. http://dx.doi.org/10.18178/joig.12.2.175-185.
Texto completo da fonteDillon, Pitisit, Pakinee Aimmanee, Akihiko Wakai, Go Sato, Hoang Viet Hung e Jessada Karnjana. "A Novel Recursive Non-Parametric DBSCAN Algorithm for 3D Data Analysis with an Application in Rockfall Detection". Journal of Disaster Research 16, n.º 4 (1 de junho de 2021): 579–87. http://dx.doi.org/10.20965/jdr.2021.p0579.
Texto completo da fonteLi, Yujun, Zhi Yang, Shangbin Jiao e Yuxing Li. "Partition KMNN-DBSCAN Algorithm and Its Application in Extraction of Rail Damage Data". Mathematical Problems in Engineering 2022 (13 de julho de 2022): 1–10. http://dx.doi.org/10.1155/2022/4699573.
Texto completo da fonteAmiruzzaman, Md, Rashik Rahman, Md Rajibul Islam e Rizal Mohd Nor. "Logical analysis of built-in DBSCAN Functions in Popular Data Science Programming Languages". MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY 10 (26 de junho de 2022): 25–32. http://dx.doi.org/10.47981/j.mijst.10(01)2022.349(25-32).
Texto completo da fonteWANG, Gui-zhi, e Guang-liang WANG. "Improved fast DBSCAN algorithm". Journal of Computer Applications 29, n.º 9 (3 de novembro de 2009): 2505–8. http://dx.doi.org/10.3724/sp.j.1087.2009.02505.
Texto completo da fonteHe, Yaobin, Haoyu Tan, Wuman Luo, Shengzhong Feng e Jianping Fan. "MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data". Frontiers of Computer Science 8, n.º 1 (19 de dezembro de 2013): 83–99. http://dx.doi.org/10.1007/s11704-013-3158-3.
Texto completo da fonteKim, Jeong-Hun, Jong-Hyeok Choi, Kwan-Hee Yoo e Aziz Nasridinov. "AA-DBSCAN: an approximate adaptive DBSCAN for finding clusters with varying densities". Journal of Supercomputing 75, n.º 1 (8 de maio de 2018): 142–69. http://dx.doi.org/10.1007/s11227-018-2380-z.
Texto completo da fonteJungan, Chen, Chen Jinyin, Yang Dongyong e Li Jun. "A k-Deviation Density Based Clustering Algorithm". Mathematical Problems in Engineering 2018 (2018): 1–16. http://dx.doi.org/10.1155/2018/3742048.
Texto completo da fonteYu, Zhenhao, Fang Liu, Yinquan Yuan, Sihan Li e Zhengying Li. "Signal Processing for Time Domain Wavelengths of Ultra-Weak FBGs Array in Perimeter Security Monitoring Based on Spark Streaming". Sensors 18, n.º 9 (4 de setembro de 2018): 2937. http://dx.doi.org/10.3390/s18092937.
Texto completo da fonteHasana, Silviya, e Devi Fitrianah. "A Study on Enhanced Spatial Clustering Using Ensemble DBscan and UMAP to Map Fire Zone in Greater Jakarta, Indonesia". Jurnal Riset Informatika 5, n.º 3 (10 de junho de 2023): 409–18. http://dx.doi.org/10.34288/jri.v5i3.557.
Texto completo da fonteHasana, Silviya, e Devi Fitrianah. "A Study on Enhanced Spatial Clustering Using Ensemble Dbscan and Umap to Map Fire Zone in Greater Jakarta, Indonesia". Jurnal Riset Informatika 5, n.º 3 (23 de junho de 2023): 409–18. http://dx.doi.org/10.34288/jri.v5i3.234.
Texto completo da fonteFahira, Aisyah Nur, e Rani Nooraeni. "https://jurnal.fmipa.unila.ac.id/komputasi/issue/view/146/showToc". Jurnal Komputasi 11, n.º 1 (30 de abril de 2023): 24–33. http://dx.doi.org/10.23960/komputasi.v11i1.3175.
Texto completo da fonteZhou, Wei, Limin Wang, Xuming Han, Yizhang Wang, Yufei Zhang e Zhiyao Jia. "Adaptive Density Spatial Clustering Method Fusing Chameleon Swarm Algorithm". Entropy 25, n.º 5 (11 de maio de 2023): 782. http://dx.doi.org/10.3390/e25050782.
Texto completo da fonteMo, Guanlin, Shihong Song e Hu Ding. "Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms". Proceedings of the ACM on Management of Data 2, n.º 3 (29 de maio de 2024): 1–25. http://dx.doi.org/10.1145/3654981.
Texto completo da fonteAn, Xiaoya, Ziming Wang, Ding Wang, Song Liu, Cheng Jin, Xinpeng Xu e Jianjun Cao. "STRP-DBSCAN: A Parallel DBSCAN Algorithm Based on Spatial-Temporal Random Partitioning for Clustering Trajectory Data". Applied Sciences 13, n.º 20 (10 de outubro de 2023): 11122. http://dx.doi.org/10.3390/app132011122.
Texto completo da fonteWang, Tianfu, Chang Ren, Yun Luo e Jing Tian. "NS-DBSCAN: A Density-Based Clustering Algorithm in Network Space". ISPRS International Journal of Geo-Information 8, n.º 5 (8 de maio de 2019): 218. http://dx.doi.org/10.3390/ijgi8050218.
Texto completo da fonteRos, Frédéric, Serge Guillaume, Rabia Riad e Mohamed El Hajji. "Detection of natural clusters via S-DBSCAN a Self-tuning version of DBSCAN". Knowledge-Based Systems 241 (abril de 2022): 108288. http://dx.doi.org/10.1016/j.knosys.2022.108288.
Texto completo da fonteMa, Li, Lei Gu, Bo Li, Shouyi Qiao e Jin Wang. "MRG-DBSCAN: An Improved DBSCAN Clustering Method Based on Map Reduce and Grid". International Journal of Database Theory and Application 8, n.º 2 (30 de abril de 2015): 119–28. http://dx.doi.org/10.14257/ijdta.2015.8.2.12.
Texto completo da fonteLiu, Ying, Qi Wen, Jia Li Guan, Shi Jie Zhao, Qi Xing Hu, Zhi Feng Hou e Qiao Zhen Yu. "Structure-Property Relationship of Dodecylbenzenesulfonic Acid Doped Polyaniline". Advanced Materials Research 721 (julho de 2013): 199–205. http://dx.doi.org/10.4028/www.scientific.net/amr.721.199.
Texto completo da fonteEsfandiari, Hossein, Vahab Mirrokni e Peilin Zhong. "Almost Linear Time Density Level Set Estimation via DBSCAN". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 8 (18 de maio de 2021): 7349–57. http://dx.doi.org/10.1609/aaai.v35i8.16902.
Texto completo da fonteBasavaiah, K., K. Tirumala Rao e A. V. Prasada Rao. "Synthesis and Characterization of Dodecylbenzene Sulfonic Acid doped Tetraaniline via Emulsion Polymerization". E-Journal of Chemistry 9, n.º 3 (2012): 1342–46. http://dx.doi.org/10.1155/2012/692853.
Texto completo da fonteCreţulescu, Radu G., Daniel I. Morariu, Macarie Breazu e Daniel Volovici. "DBSCAN Algorithm for Document Clustering". International Journal of Advanced Statistics and IT&C for Economics and Life Sciences 9, n.º 1 (1 de junho de 2019): 58–66. http://dx.doi.org/10.2478/ijasitels-2019-0007.
Texto completo da fonteZhang, Runfa, Jianlong Qiu, Ming Guo, Huixia Cui e Xiangyong Chen. "An Adjusting Strategy after DBSCAN". IFAC-PapersOnLine 55, n.º 3 (2022): 219–22. http://dx.doi.org/10.1016/j.ifacol.2022.05.038.
Texto completo da fonteTAN, Ying. "Adapted DBSCAN with multi-threshold". Journal of Computer Applications 28, n.º 3 (10 de julho de 2008): 745–48. http://dx.doi.org/10.3724/sp.j.1087.2008.00745.
Texto completo da fonteSadhukhan, Payel, Labani Halder e Sarbani Palit. "Approximate DBSCAN on obfuscated data". Journal of Information Security and Applications 80 (fevereiro de 2024): 103664. http://dx.doi.org/10.1016/j.jisa.2023.103664.
Texto completo da fonteKuo, Fei-Ying, Tzai-Hung Wen e Clive E. Sabel. "Characterizing Diffusion Dynamics of Disease Clustering: A Modified Space–Time DBSCAN (MST-DBSCAN) Algorithm". Annals of the American Association of Geographers 108, n.º 4 (26 de janeiro de 2018): 1168–86. http://dx.doi.org/10.1080/24694452.2017.1407630.
Texto completo da fonteWei, Pan, Yang Shenglin, Li Guang e Jiang Jianming. "Hydrogen Bonding Effects on the Electrical Properties and Phase Morphology of Polyaniline Blends". Polymers and Polymer Composites 13, n.º 4 (maio de 2005): 415–23. http://dx.doi.org/10.1177/096739110501300408.
Texto completo da fonteAhmed, K. Nafees, e T. Abdul Razak. "Density Based Clustering with Integrated One-Class SVM for Noise Reduction". International Journal of Informatics and Communication Technology (IJ-ICT) 6, n.º 3 (1 de dezembro de 2017): 199. http://dx.doi.org/10.11591/ijict.v6i3.pp199-208.
Texto completo da fonteWang, Wen Qin, Rui Feng Zhang e Lin Chao Lu. "The Electrochemical Polymerization of Polypyrrole Microstructures in an Aqueous Solution of Dodecylbenzenesulfonic Acid". Advanced Materials Research 306-307 (agosto de 2011): 696–700. http://dx.doi.org/10.4028/www.scientific.net/amr.306-307.696.
Texto completo da fonteYin, Lifeng, Hongtao Hu, Kunpeng Li, Guanghai Zheng, Yingwei Qu e Huayue Chen. "Improvement of DBSCAN Algorithm Based on K-Dist Graph for Adaptive Determining Parameters". Electronics 12, n.º 15 (25 de julho de 2023): 3213. http://dx.doi.org/10.3390/electronics12153213.
Texto completo da fonteGunawan, Wawan. "Implementasi Algoritma DBScan dalam Pemngambilan Data Menggunakan Scatterplot". Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi 6, n.º 2 (19 de outubro de 2021): 91–98. http://dx.doi.org/10.36805/technoxplore.v6i2.1179.
Texto completo da fonteZhang, Xinhui, Xun Shen e Tinghui Ouyang. "Extension of DBSCAN in Online Clustering: An Approach Based on Three-Layer Granular Models". Applied Sciences 12, n.º 19 (20 de setembro de 2022): 9402. http://dx.doi.org/10.3390/app12199402.
Texto completo da fonteKaulage Anant Nagesh,, Et al. "Spatial Data Analysis Utilizing Grid Dbscan Algorithm in Clustering Techniques for Partial Object Classification Issues". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 9s (31 de agosto de 2023): 884–88. http://dx.doi.org/10.17762/ijritcc.v11i9s.9711.
Texto completo da fonteSakkari, Mohamed, Abeer D. Algarni e Mourad Zaied. "Urban Crowd Detection Using SOM, DBSCAN and LBSN Data Entropy: A Twitter Experiment in New York and Madrid". Electronics 8, n.º 6 (20 de junho de 2019): 692. http://dx.doi.org/10.3390/electronics8060692.
Texto completo da fontede Berg, Mark, Ade Gunawan e Marcel Roeloffzen. "Faster DBSCAN and HDBSCAN in Low-Dimensional Euclidean Spaces". International Journal of Computational Geometry & Applications 29, n.º 01 (março de 2019): 21–47. http://dx.doi.org/10.1142/s0218195919400028.
Texto completo da fonteIrfan, M., e A. Shakoor. "Structural and electrical properties of dodecylbenzene sulphonicacid doped polypyrrole/zirconium oxide composites". Revista Mexicana de Física 65, n.º 6 Nov-Dec (31 de outubro de 2019): 607. http://dx.doi.org/10.31349/revmexfis.65.607.
Texto completo da fonteHossain, Md Zakir, Md Jakirul Islam, Md Waliur Rahman Miah, Jahid Hasan Rony e Momotaz Begum. "Develop a dynamic DBSCAN algorithm for solving initial parameter selection problem of the DBSCAN algorithm". Indonesian Journal of Electrical Engineering and Computer Science 23, n.º 3 (1 de setembro de 2021): 1602. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1602-1610.
Texto completo da fonteDywili, Nomxolisi R., Afroditi Ntziouni, Chinwe Ikpo, Miranda Ndipingwi, Ntuthuko W. Hlongwa, Anne Yonkeu, Milua Masikini, Konstantinos Kordatos e Emmanuel I. Iwuoha. "Graphene Oxide Decorated Nanometal-Poly(Anilino-Dodecylbenzene Sulfonic Acid) for Application in High Performance Supercapacitors". Micromachines 10, n.º 2 (11 de fevereiro de 2019): 115. http://dx.doi.org/10.3390/mi10020115.
Texto completo da fonteBeecher, Suzanne M., Kevin C. Cahill e Christoph Theopold. "Pedicled sural flaps versus free anterolateral thigh flaps in reconstruction of dorsal foot and ankle defects in children: a systematic review". Archives of Plastic Surgery 48, n.º 4 (15 de julho de 2021): 410–16. http://dx.doi.org/10.5999/aps.2020.00983.
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