Suchergebnisse - density-based spatial clustering of applications with noise (dbscan) clustering algorithm

Classification of Subgroups of Solar and Heliospheric Observatory (SOHO) Sungrazing Kreutz Comet Group by the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Clustering Algorithm

Autoren: Ulkar Karimova Yu Yi

Quelle: Journal of Astronomy and Space Sciences, Vol 41, Iss 1, Pp 35-42 (2024)

Schlagwörter: sungrazing comets, density-based spatial clustering of applications with noise (dbscan) algorithm, 13. Climate action, comet categorization, Astronomy, QB1-991, solar system origins, coronagraphic observations, kreutz subgroups

Zugangs-URL: https://doaj.org/article/f592eb41dff64b329dfc61b7c5d722a3

ML-based State of Polarization Analysis to Detect Emerging Threats to Optical Fiber Security

Autoren: Sadighi, Leyla Karlsson, Stefan Natalino Da Silva, Carlos et al.

Quelle: IEEE Transactions on Network and Service Management. In Press

Schlagwörter: State of Polarization (SOP) variations, Semi-Supervised Learning (SSL), anomaly detection, Machine Learning (ML), Unsupervised Learning (USL), One-Class Support Vector Machine (OCSVM), Density-Based Spatial Clustering of Applications with Noise (DBSCAN)

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/548341
https://research.chalmers.se/publication/548341/file/548341_Fulltext.pdf

Adaptive path planning for dry bulk carriers under sudden maritime disturbances: A network-based approach

Autoren: Li, Haijiang Ma, Qianqi Si, Ruibin et al.

Quelle: PIANO - Physics Informed Machine Learning Architecture for Optimal Auxiliary Wind Propulsion Ocean Engineering. 343(4)

Schlagwörter: Density-based spatial clustering of applications with noise (DBSCAN), Shipping route network, Multi-objective optimization, Carbon emissions, Automatic identification system (AIS)

Zugangs-URL: https://research.chalmers.se/publication/549664
https://research.chalmers.se/publication/549713

Clustering of students admission data using k-means, hierarchical, and DBSCAN algorithms

Autoren: Cahapin, Erwin Lanceta Malabag, Beverly Ambagan Santiago Jr., Cereneo Sailog et al.

Weitere Verfasser: Cahapin, Erwin Lanceta Malabag, Beverly Ambagan Santiago Jr., Cereneo Sailog et al.

Quelle: Bulletin of Electrical Engineering and Informatics; Vol 12, No 6: December 2023; 3647-3656 ; 2302-9285 ; 2089-3191 ; 10.11591/eei.v12i6

Schlagwörter: Computing, Clustering, Density-based spatial clustering of applications with noise algorithm, Hierarchichal, K-means, University admission

Dateibeschreibung: application/pdf

Relation: https://beei.org/index.php/EEI/article/view/4849/3480; https://beei.org/index.php/EEI/article/view/4849

Verfügbarkeit: https://beei.org/index.php/EEI/article/view/4849
https://doi.org/10.11591/eei.v12i6.4849

[Study of clustered damage in DNA after proton irradiation based on density-based spatial clustering of applications with noise algorithm]

Autoren: Pengcheng Zhang Zhiguo Gui Li Jie et al.

Quelle: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. 36(4)

Schlagwörter: 0206 medical engineering, Computer Simulation, Linear Energy Transfer, 02 engineering and technology, DNA, Protons, Monte Carlo Method, Algorithms, DNA Damage

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/31441265
https://pubmed.ncbi.nlm.nih.gov/31441265/
https://www.ncbi.nlm.nih.gov/pubmed/31441265

Automatic Detection of Urban Trees from LiDAR Data Using DBSCAN and Mean Shift Clustering Methods in Fatih, Istanbul.

Autoren: Cetin, Zehra Yastikli, Naci

Quelle: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2025, Vol. 48 Issue M-6, p95-102, 8p

Schlagwörter: CLUSTERING algorithms, OPTICAL radar, URBAN trees, LIDAR, REMOTE sensing

DBSCAN-PCA-INFORMER-Based Droplet Motion Time Prediction Model for Digital Microfluidic Systems.

Autoren: Luo, Zhijie Zhao, Bin Liu, Wenjin et al.

Quelle: Micromachines; May2025, Vol. 16 Issue 5, p594, 21p

Schlagwörter: LONG short-term memory, CLUSTERING algorithms, PRINCIPAL components analysis, PREDICTION models, DATA reduction, MICROFLUIDICS

Automatic Detection of Urban Trees from LiDAR Data Using DBSCAN and Mean Shift Clustering Methods in Fatih, Istanbul

Autoren: Yastıklı, Naci Çetin, Zehra

Quelle: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-6-2025, Pp 95-102 (2025)

Schlagwörter: Technology, Applied optics. Photonics, TA1-2040, Engineering (General). Civil engineering (General), TA1501-1820

Dateibeschreibung: application/pdf

Zugangs-URL: https://isprs-archives.copernicus.org/articles/XLVIII-M-6-2025/95/2025/
https://doaj.org/article/3be60964b82045bbad0feac6ca57a753
https://avesis.yildiz.edu.tr/publication/details/60403b19-1c5f-4232-a45a-c0218a38ab8a/oai

Identification of Customer-Transformer Relationship Based on Power Metering Sensors and Improved Density-based Spatial Clustering of Applications with Noise Clustering.

Autoren: Guangming Li Jisheng Huang Shibo Pan et al.

Quelle: Sensors & Materials; 2023, Vol. 35 Issue 8, Part 4, p3083-3096, 14p

Identifying the Passenger Transport Corridors in an Urban Rail Transit Network Based on OD Clustering.

Autoren: Zhou, Fangyi Yao, Jing Yin, Haodong

Quelle: Sustainability (2071-1050); Oct2025, Vol. 17 Issue 20, p9127, 21p

多空间尺度融合的出行轨迹规律分析.

Alternate Title: Analysis of Traveling Trajectory Rules Based on Multiple Spatial Scales.

Autoren: 陆妍玲 黄娅琦 王杰 et al.

Quelle: Science Technology & Engineering. 2023, Vol. 23 Issue 20, p8530-8539. 10p.

An Empirical Study on Anomaly Detection Using Density-based and Representative-based Clustering Algorithms.

Autoren: Fuhnwi, Gerard Shu Agbaje, Janet O. Oshinubi, Kayode et al.

Quelle: Journal of Nigerian Society of Physical Sciences; May2023, Vol. 5 Issue 2, p1-13, 13p

Schlagwörter: ANOMALY detection (Computer security), ALGORITHMS, INTERNET security, BANKING industry, TRANSPORTATION

DeepLabV3+-Based Semantic Annotation Refinement for SLAM in Indoor Environments.

Autoren: Wei, Shuangfeng Tang, Hongrui Liu, Changchang et al.

Quelle: Sensors (14248220); Jun2025, Vol. 25 Issue 11, p3344, 26p

Schlagwörter: CLUSTERING algorithms, K-nearest neighbor classification, IMAGE segmentation, POINT cloud, POINT processes

Detection of new gamma-ray AGN candidates using SIMEFIC III and DBSCAN in Fermi-LAT data.

Autoren: Soor, M Akhondi, F Hedayati Kh, H

Quelle: Monthly Notices of the Royal Astronomical Society. 2/25/2025, Vol. 537 Issue 2, p730-738. 9p.

Schlagwörter: *CLUSTERING algorithms, *DATA analysis, *TELESCOPES, *CATALOGS, *CRATES

Instar Determination for the Tomato Leafminer Tuta absoluta (Lepidoptera: Gelechiidae) Using the Density-Based OPTICS Clustering Algorithm.

Autoren: Wang, Wenqian Xiao, Guanli Yang, Baoyun et al.

Quelle: Environmental Entomology; Oct2022, Vol. 51 Issue 5, p940-947, 8p

Schlagwörter: GELECHIIDAE, GAUSSIAN mixture models, OPTICS, INSECT larvae, LEPIDOPTERA

Robust Parameter Optimisation of Noise-Tolerant Clustering for DENCLUE Using Differential Evolution

Autoren: Ajmal, Omer Arshad, Humaira Arshed, Muhammad Asad et al.

Weitere Verfasser: Ajmal, Omer Arshad, Humaira Arshed, Muhammad Asad et al.

Quelle: Mathematics. 12(21)

Schlagwörter: Natural Sciences, Mathematical Sciences, Other Mathematics, Naturvetenskap, Matematik, Annan matematik

Zugangs-URL: https://doi.org/10.3390/math12213367

A Trust Evaluation Mechanism Based on Autoencoder Clustering Algorithm for Edge Device Access of IoT.

Autoren: Xiao Feng Zheng Yuan

Quelle: Computers, Materials & Continua; 2024, Vol. 78 Issue 2, p1881-1895, 15p

Schlagwörter: CONVOLUTIONAL neural networks, BETA distribution, INTERNET of things, ALGORITHMS

Enhancing DBSCAN clustering with fuzzy system to improve IoT-based WBAN performance.

Autoren: Hosseinzadeh M Haider A Ali S et al.

Quelle: Scientific reports [Sci Rep] 2025 Aug 04; Vol. 15 (1), pp. 28404. Date of Electronic Publication: 2025 Aug 04.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Study and analysis of surface elevation changes of the Kangerlussuaq Glacier in Greenland based on ICESat/ICESat-2 Satellite LiDAR data.

Autoren: Dan, Xuefu Zhang, Jinye Xu, Peng et al.

Quelle: Journal of Earth System Science; Sep2025, Vol. 134 Issue 3, p1-16, 16p

Schlagwörter: LIDAR, CLIMATE change, GREENLAND ice, GLACIERS, GLACIOLOGY

Geografische Kategorien: ARCTIC regions, GREENLAND

Instar Determination for the Tomato Leafminer Tuta absoluta (Lepidoptera: Gelechiidae) Using the Density-Based OPTICS Clustering Algorithm

Autoren: Wenqian Wang Guanli Xiao Baoyun Yang et al.

Quelle: Environ Entomol

Schlagwörter: 0106 biological sciences, Solanum lycopersicum, Larva, Animals, Cluster Analysis, Moths, Entomology, 01 natural sciences, Algorithms, Pest Management

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36066442