Suchergebnisse - "Density peak clustering algorithm"

A grid integration planning approach for partitioned super-large offshore wind farms considering onshore grid accommodation capacity

Autoren: Ling Xu Mengyao Zhang Xiaohu Zhang et al.

Quelle: Frontiers in Energy Research, Vol 13 (2025)

Schlagwörter: super-large offshore wind farm, transmission system planning, converter station location and type, collaborative planning, density peak clustering algorithm, partition, General Works

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2025.1689106/full; https://doaj.org/toc/2296-598X

Zugangs-URL: https://doaj.org/article/56102c6cd03c4be5ae9715bcc1bc7631

Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network

Autoren: Zhuofu Liu Gaohan Li Chuanyi Wang et al.

Quelle: Sensors, Vol 25, Iss 12, p 3609 (2025)

Schlagwörter: sleep posture classification, non-contact detection, deep learning module, density peak clustering algorithm, triaxial accelerometers, parallel convolutional spatiotemporal networks, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/12/3609; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/f8b4f2120643483998d7794e99ed10f6

Retrieval Technology of Enterprise Data Center Resources Based on Density Peak Clustering Algorithm

Autoren: Jiang, Jiaming Ruan, Guoheng Dai, Zhenggan

Quelle: COMPUTING AND INFORMATICS; Vol. 42 No. 4 (2023): Computing and Informatics; 923–942

Schlagwörter: Density peak clustering algorithm, semantic correlation distribution, kernel principal component analysis method, data mining, clustering algorithms, enterprise data center, resource retrieval

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.cai.sk/ojs/index.php/cai/article/view/2023_4_923

Peak Density Clustering Algorithm Combining Natural and Shared Nearest Neighbor

Autoren: BAI Exiang, LUO Ke, LUO Xiao

Quelle: Jisuanji kexue yu tansuo, Vol 15, Iss 5, Pp 931-940 (2021)

Schlagwörter: density peak clustering algorithm, natural nearest neighbor, shared nearest neighbor, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://fcst.ceaj.org/CN/abstract/abstract2691.shtml; https://doaj.org/toc/1673-9418

Zugangs-URL: https://doaj.org/article/9e1f64f0e6b04a5dad145564d5e15357

A Dynamic Equivalent Model for DFIG-Based Wind Farms

Autoren: Mingyang Liu Wenxia Pan Yibo Zhang et al.

Quelle: IEEE Access, Vol 7, Pp 74931-74940 (2019)

Schlagwörter: density peak clustering algorithm (DPCA), short-circuit current (SCC), dynamic equivalent, 0202 electrical engineering, electronic engineering, information engineering, DFIG-based wind farm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 7. Clean energy, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08720145.pdf
https://doaj.org/article/75b768d32d9e438791de14ba50b82714
https://dblp.uni-trier.de/db/journals/access/access7.html#LiuPZZZL19
https://ieeexplore.ieee.org/document/8720145/

Building an Effective Intrusion Detection System Using the Modified Density Peak Clustering Algorithm and Deep Belief Networks

Autoren: Yanqing Yang Kangfeng Zheng Chunhua Wu et al.

Quelle: Applied Sciences, Vol 9, Iss 2, p 238 (2019)

Schlagwörter: intrusion detection, modified density peak clustering algorithm, restricted Boltzmann machine, deep belief networks, fuzzy aggregation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: http://www.mdpi.com/2076-3417/9/2/238; https://doaj.org/toc/2076-3417; https://doaj.org/article/5294ba9fcba044e8b7dd73b5883f3723

Verfügbarkeit: https://doi.org/10.3390/app9020238
https://doaj.org/article/5294ba9fcba044e8b7dd73b5883f3723

Improved Density Peak Clustering Algorithm Based on Choosing Strategy Automatically for Cut-off Distance and Cluster Centre

Autoren: Wang, Limin Li, Mingyang Han, Xuming et al.

Quelle: Tehnički vjesnik ; ISSN 1848-6339 (Online) ; ISSN 1330-3651 (Print) ; ISSN-L 1330-3651 ; Volume 25 ; Issue 2

Schlagwörter: clustering center, cut-off distance, Density Peak Clustering Algorithm, maximum density, similarity

Dateibeschreibung: application/pdf

Relation: https://hrcak.srce.hr/199153

Verfügbarkeit: https://doi.org/10.17559/TV-20171121052315
https://hrcak.srce.hr/199153
https://hrcak.srce.hr/file/293212

Improved Density Peak Clustering Algorithm Based on Choosing Strategy Automatically for Cut-off Distance and Cluster Centre

Autoren: Limin Wang Mingyang Li Xuming Han et al.

Quelle: Tehnički Vjesnik, Vol 25, Iss 2, Pp 536-545 (2018)

Schlagwörter: clustering center, cut-off distance, Density Peak Clustering Algorithm, maximum density, similarity, Engineering (General). Civil engineering (General), TA1-2040

Relation: https://hrcak.srce.hr/file/293212; https://doaj.org/toc/1330-3651; https://doaj.org/toc/1848-6339; https://doaj.org/article/7a1be59d0319439d8d3f0e98be677855

Verfügbarkeit: https://doaj.org/article/7a1be59d0319439d8d3f0e98be677855

Human activity recognition utilizing optimized attention induced Multihead Convolutional Neural Network with Mobile Net V1 from Mobile health data.

Autoren: Anandha Praba R Suganthi L

Quelle: Network (Bristol, England) [Network] 2025 May; Vol. 36 (2), pp. 294-321. Date of Electronic Publication: 2024 Dec 17.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9431867 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-6536 (Electronic) Linking ISSN: 0954898X NLM ISO Abbreviation: Network Subsets: MEDLINE

MeSH-Schlagworte: Neural Networks, Computer* , Human Activities*/classification , Attention*, Humans ; Telemedicine ; Algorithms ; Convolutional Neural Networks

Intradialytic blood pressure pattern recognition based on density peak clustering.

Autoren: Wang F Zhou JY Tian Y et al.

Quelle: Journal of biomedical informatics [J Biomed Inform] 2018 Jul; Vol. 83, pp. 33-39. Date of Electronic Publication: 2018 May 21.

Publikationsart: Journal Article; Research Support, Non-U.S. Gov't

Info zur Zeitschrift: Publisher: Elsevier Country of Publication: United States NLM ID: 100970413 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-0480 (Electronic) Linking ISSN: 15320464 NLM ISO Abbreviation: J Biomed Inform Subsets: MEDLINE

MeSH-Schlagworte: Blood Pressure Determination* , Pattern Recognition, Automated*, Kidney Failure, Chronic/*diagnosis, Adolescent ; Adult ; Aged ; Aged, 80 and over ; Algorithms ; Blood Pressure ; Child ; Cluster Analysis ; Electronic Health Records ; Female ; Humans ; Male ; Middle Aged ; Prognosis ; Young Adult