Suchergebnisse - "DBSCAN clustering algorithm"

A new approach for the classification of ground points from airborne LiDAR data in forested areas

Autoren: Kurtulgu, Zümrüt Pirti, Atınç

Quelle: Šumarski list
CODEN SULIAB
Volume 149
Issue 1-2

Schlagwörter: drugi/posljednji povrat, filtriranje temeljeno na mreži, DBSCAN algoritam klasteriranja, second/last return, grid-based filter, DBSCAN clustering algorithm

Dateibeschreibung: application/pdf

Integrated VLC/RF With Adaptive Power Control for Reliable Cluster-Based VANET Communications

Autoren: Ahmed M. El-Eraki Nancy A. Alshaer Mohamed M. Fouad et al.

Quelle: IEEE Access, Vol 13, Pp 121099-121117 (2025)

Schlagwörter: Vehicular ad hoc networks (VANETs), radio frequency (RF), visible light communication (VLC), dynamic power allocation (DPA), Electrical engineering. Electronics. Nuclear engineering, fixed power allocation (FPA), DBSCAN clustering algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/a69899e1ec694b34aea9110b8ff2bdcd

Adaptive quorum based scheduling and interference-free routing for edge enabled UAV assisted software-define WSN using AI

Autoren: KH Vijayendra Prasad Sasikumar Periyasamy

Quelle: Alexandria Engineering Journal, Vol 105, Iss, Pp 760-775 (2024)

Schlagwörter: MOdified RAinbow-based DRL Algorithm, Modified African BuffalO Optimization Algorithm, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), Enhanced DBSCAN Clustering Algorithm, 7. Clean energy, Edge-enabled UAV

Zugangs-URL: https://doaj.org/article/524944e688e84378965fefebbdbed450

Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm

Autoren: Rui Ma Jiangbo Sha Shuang Zhang et al.

Quelle: Results in Engineering, Vol 26, Iss , Pp 105057- (2025)

Schlagwörter: DBSCAN clustering algorithm, Dual carbon monitoring data, Packet fusion, Abnormal data, Support function, Weighting coefficient, Technology

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025011326; https://doaj.org/toc/2590-1230

Zugangs-URL: https://doaj.org/article/d0726b0581cd44c585872451cda232de

Outlier Identification of Concrete Dam Displacement Monitoring Data Based on WAVLET-DBSCAN-IFRL

Autoren: Chunhui Fang Xue Wang Weixing Hu et al.

Quelle: Water ; Volume 17 ; Issue 5 ; Pages: 716

Schlagwörter: concrete dam displacement monitoring data, outlier detection, wavelet transform, DBSCAN clustering algorithm, isolation forest algorithm, reinforcement learning

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

Relation: Hydraulics and Hydrodynamics; https://dx.doi.org/10.3390/w17050716

Verfügbarkeit: https://doi.org/10.3390/w17050716

A new approach to ground point classification using airborne lidar data in forested areas ; Novi pristup klasifikaciji točke na tlu korišćenjem lidar podataka iz zraka u šumskim područjima

Autoren: Kurtulgu, Zümrüt Pırtı, Atınç

Quelle: Šumarski list ; ISSN 1846-9140 (Online) ; ISSN 0373-1332 (Print) ; ISSN-L 0373-1332 ; CODEN SULIAB ; Volume 149 ; Issue 1-2

Schlagwörter: drugi/posljednji povrat, filtriranje temeljeno na mreži, DBSCAN algoritam klasteriranja,second/last return, grid-based filter, DBSCAN clustering algorithm

Relation: https://hrcak.srce.hr/330454

Verfügbarkeit: https://hrcak.srce.hr/330454

Urban Greenway Planning and Designing Based on MGWR and the Entropy Weight Method

Autoren: Weijia Li Xinge Ji Hua Bai

Quelle: Applied Sciences, Vol 14, Iss 24, p 11670 (2024)

Schlagwörter: urban greenway, entropy weight method, multiscale geographic weighted regression, suitability, origin-destination of shared bicycle, DBSCAN clustering algorithm, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/24/11670; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/a7c9d41fa4da4ebbba22c7a3fe292219

Extraction of Arbors from Terrestrial Laser Scanning Data Based on Trunk Axis Fitting

Autoren: Song Liu Yuncheng Deng Jianpeng Zhang et al.

Quelle: Forests, Vol 15, Iss 7, p 1217 (2024)

Schlagwörter: Terrestrial Laser Scanning, TAF method, DBSCAN clustering algorithm, trunk axis, arbor extraction, Plant ecology, QK900-989

Relation: https://www.mdpi.com/1999-4907/15/7/1217; https://doaj.org/toc/1999-4907; https://doaj.org/article/feaddbc1213447b582fedb3e8867e13d

Verfügbarkeit: https://doi.org/10.3390/f15071217
https://doaj.org/article/feaddbc1213447b582fedb3e8867e13d

Resolvable Cluster Target Tracking Based on the DBSCAN Clustering Algorithm and Labeled RFS

Autoren: Jiashun Ma Jiahao Xie Xirui Xue et al.

Quelle: IEEE Access, Vol 9, Pp 43364-43377 (2021)

Schlagwörter: 0203 mechanical engineering, Resolvable cluster target tracking, δ-GLMB filter, cooperative interaction modeling, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, stochastic differential equation, DBSCAN clustering algorithm, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09380168.pdf
https://doaj.org/article/1d708150c28c4ff99c903b53cdb384c1
https://ieeexplore.ieee.org/document/9380168/
https://doi.org/10.1109/ACCESS.2021.3066629
https://dblp.uni-trier.de/db/journals/access/access9.html#XueHXML21

A Recommendation System in the Medical Industry using SW-DBSCAN Algorithm

Autoren: Reza Molaee Fard Payam Yarahmadi

Quelle: International Journal of Web Research, Vol 5, Iss 1, Pp 82-87 (2022)

Schlagwörter: recommender system, medical industry, web mining, collaborative filtering, sw-dbscan clustering algorithm, Information resources (General), ZA3040-5185

Dateibeschreibung: electronic resource

Relation: https://ijwr.usc.ac.ir/article_165857_22c2ed96532231da276d69bfb11f9979.pdf; https://doaj.org/toc/2645-4343

Zugangs-URL: https://doaj.org/article/28fe96ecc2224603bed5ff53b17a5818

Automatic Extraction of Forest Inventory Variables at the Tree Level by Using Smartphone Images to Construct a Three-Dimensional Model

Autoren: Jiayin Song Qiqi Huang Yue Zhao et al.

Quelle: Forests, Vol 14, Iss 6, p 1081 (2023)

Schlagwörter: DBSCAN clustering algorithm, forest inventory variables, 3D measurement model, point cloud filtering, point cloud segmentation, Plant ecology, QK900-989

Relation: https://www.mdpi.com/1999-4907/14/6/1081; https://doaj.org/toc/1999-4907; https://doaj.org/article/9c8fe42931484b8cb2f61db43413b137

Verfügbarkeit: https://doi.org/10.3390/f14061081
https://doaj.org/article/9c8fe42931484b8cb2f61db43413b137

Isolated or Colocated? Exploring the Spatio-Temporal Evolution Pattern and Influencing Factors of the Attractiveness of Residential Areas to Restaurants in the Central Urban Area

Autoren: Ruien Tang Guolin Hou Rui Du

Quelle: ISPRS International Journal of Geo-Information, Vol 12, Iss 5, p 202 (2023)

Schlagwörter: spatio-temporal evolution, multiscale geographically weighted regression (MGWR), catering, influencing factors, DBSCAN clustering algorithm, Geography (General), G1-922

Relation: https://www.mdpi.com/2220-9964/12/5/202; https://doaj.org/toc/2220-9964; https://doaj.org/article/96f5eabfc4bc4bc9b715901b35dc94a2

Verfügbarkeit: https://doi.org/10.3390/ijgi12050202
https://doaj.org/article/96f5eabfc4bc4bc9b715901b35dc94a2

Urban Road Lane Number Mining from Low-Frequency Floating Car Data Based on Deep Learning

Autoren: Xiaolong Li Yun Zhang Longgang Xiang et al.

Quelle: ISPRS International Journal of Geo-Information, Vol 12, Iss 11, p 467 (2023)

Schlagwörter: FCD, number of lanes, DBSCAN clustering algorithm, deep learning, LeNet-5 model, Geography (General), G1-922

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2220-9964/12/11/467; https://doaj.org/toc/2220-9964

Zugangs-URL: https://doaj.org/article/7bfc5721244747d58ed92b45938a4099

The Method of Detecting Online Password Attacks Based on High-level Protocol Analysis and Clustering Techniques

Autoren: Ha Thanh Dung Nguyen Hong Son

Quelle: International Journal of Computer Networks & Communications. 11:77-89

Schlagwörter: FOS: Computer and information sciences, Computer Science - Cryptography and Security, 0202 electrical engineering, electronic engineering, information engineering, Online password attack detection, unsupervised learning, protocol analysis, DBSCAN clustering algorithm, 02 engineering and technology, Cryptography and Security (cs.CR)

Zugangs-URL: http://arxiv.org/pdf/1912.02036
http://arxiv.org/abs/1912.02036
https://dblp.uni-trier.de/db/journals/corr/corr1912.html#abs-1912-02036
https://aircconline.com/abstract/ijcnc/v11n6/11619cnc05.html
https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID3514411_code3121873.pdf?abstractid=3514411&mirid=1
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3514411
https://ui.adsabs.harvard.edu/abs/2019arXiv191202036S/abstract
https://arxiv.org/abs/1912.02036v1
http://arxiv.org/pdf/1912.02036.pdf

Crowdsourcing Logistics Pricing Optimization Model Based on DBSCAN Clustering Algorithm

Autoren: Zhichao Li Yilin Li Wanchun Lu et al.

Quelle: IEEE Access, Vol 8, Pp 92615-92626 (2020)

Schlagwörter: Crowdsourcing logistics, pricing optimization model, DBSCAN clustering algorithm, sustainable development, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/9094209/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/0ae9963a6e364e4a950c29d74e013a33

THE METHOD OF DETECTING ONLINE PASSWORD ATTACKS BASED ON HIGH-LEVEL PROTOCOL ANALYSIS AND CLUSTERING TECHNIQUES

Autoren: Nguyen Hong Son Ha Thanh Dung

Schlagwörter: Online password attack detection, unsupervised learning, protocol analysis, DBSCAN clustering algorithm

Relation: https://zenodo.org/records/3598278; oai:zenodo.org:3598278; https://doi.org/10.5281/zenodo.3598278

Verfügbarkeit: https://doi.org/10.5281/zenodo.3598278
https://zenodo.org/records/3598278

IMPLEMENTATION OF DBSCAN CLUSTERING ALGORITHM WITHIN THE FRAMEWORK OF THE OBJECTIVE CLUSTERING INDUCTIVE TECHNOLOGY BASED ON R AND KNIME TOOLS

Autoren: Babichev, S. Vyshemyrska, S. Lytvynenko, V.

Quelle: Radio Electronics, Computer Science, Control; № 1 (2019): Radio Electronics, Computer Science, Control
Радиоэлектроника, информатика, управление; № 1 (2019): Радиоэлектроника, информатика, управление
Радіоелектроніка, iнформатика, управління; № 1 (2019): Радіоелектроніка, інформатика, управління

Schlagwörter: Objective clustering, clustering quality criteria, inductive modelling, DBSCAN clustering algorithm, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Dateibeschreibung: application/pdf

Zugangs-URL: http://ric.zntu.edu.ua/article/download/163652/162563
https://cyberleninka.ru/article/n/implementation-of-dbscan-clustering-algorithm-within-the-framework-of-the-objective-clustering-inductive-technology-based-on-r-and-knime/pdf
http://ric.zntu.edu.ua/article/download/163652/162563
http://ric.zntu.edu.ua/article/view/163652
https://cyberleninka.ru/article/n/implementation-of-dbscan-clustering-algorithm-within-the-framework-of-the-objective-clustering-inductive-technology-based-on-r-and-knime
http://ric.zntu.edu.ua/article/view/163652

Multi-document summarization based on event term semantic relation graph clustering

Autoren: Liu, M Li, W Ji, D et al.

Weitere Verfasser: Liu, M Li, W Ji, D et al.

Schlagwörter: Event-based summarization, Event semantic relation graph, Dbscan clustering algorithm

Relation: http://hdl.handle.net/10397/40009; 77; 85; 24; r54395; OA_IR/PIRA

Verfügbarkeit: http://hdl.handle.net/10397/40009

A new approach to ground point classification using airborne lidar data in forested areas

Additional Titles: Novi pristup klasifikaciji točke na tlu korišćenjem lidar podataka iz zraka u šumskim područjima

Autoren: Kurtulgu, Zümrüt Pırtı, Atınç

Quelle: Šumarski list; ISSN 1846-9140 (Online); ISSN 0373-1332 (Print); ISSN-L 0373-1332; CODEN SULIAB; Volume 149; Issue 1-2

Index Begriffe: drugi/posljednji povrat, filtriranje temeljeno na mreži, DBSCAN algoritam klasteriranja,second/last return, grid-based filter, DBSCAN clustering algorithm, text, info:eu-repo/semantics/other, info:eu-repo/semantics/publishedVersion

URL: https://hrcak.srce.hr/330454