Suchergebnisse - "K-means clustering algorithm"

USING MACHINE LEARNING ALGORITHMS TO ANALYZE FACTORS INFLUENCING ACCEPTANCE OF E-LEARNING

Autoren: Sultan Ahmad Md Alimul Haque Devanshu Kumar et al.

Quelle: Proceedings on Engineering Sciences, Vol 7, Iss 2, Pp 1211-1218 (2025)

Schlagwörter: k-means clustering algorithm, e-learning system machine learning, TA1-2040, Engineering (General). Civil engineering (General), factors affecting

Zugangs-URL: https://doaj.org/article/6b67deeab3ea49ba91b7a20814ad1df4

Research on Grounding Grid Corrosion Diagnosis Based on Genetic K‐Means Algorithm

Autoren: Longsheng Huang Xianghui Xiao Mingxian Huang et al.

Quelle: Energy Science & Engineering, Vol 13, Iss 6, Pp 3074-3087 (2025)

Schlagwörter: Technology, corrosion diagnosis, Science, electrical network theory, genetic algorithm, grounding grid, K‐means clustering algorithm

Zugangs-URL: https://doaj.org/article/268d0516fccd4bb2bff3e3a055d3099d

Factors Influencing Drivers’ Tolerance for Large Vehicle Proportions

Autoren: Hanbin WANG Jianxiao MA Wenyun TANG et al.

Quelle: Promet (Zagreb), Vol 37, Iss 5, Pp 1286-1300 (2025)

Schlagwörter: urban traffic, drivers’ tolerance to vehicles, ordered logistic regression, drivers, k-means clustering algorithm, Transportation engineering, TA1001-1280

Dateibeschreibung: electronic resource

Relation: https://traffic2.fpz.hr/index.php/PROMTT/article/view/952; https://doaj.org/toc/0353-5320; https://doaj.org/toc/1848-4069

Zugangs-URL: https://doaj.org/article/4f7b5a6316b64ffc93b100e1481aac09

Risk assessment of corn borer based on feature optimization and weighted spatial clustering: a case study in Shandong Province, China

Autoren: Yanan Zuo Min Ji Jiutao Yang et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)

Schlagwörter: Risk assessment, Corn borer, Feature optimization, Weighted k-means clustering algorithm, Improved random forest, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/d52ef4f267204871a2f8ed07505ac0da

AI-driven innovation and entrepreneurship education: a K-means clustering approach for Chinese university students

Autoren: Hongshun Zhang

Quelle: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-19 (2025)

Schlagwörter: Innovation and entrepreneurship education (IAE), Teaching system, K-means clustering algorithm, Talent paradigm, Chinese college students, Entrepreneurial aptitude (EA), Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2731-0809

Zugangs-URL: https://doaj.org/article/7bcc97f5d73f4f2ab1a73499cfea8600

Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling

Autoren: WANG Zixuan OU Bin CHEN Dehui et al.

Quelle: Guan'gai paishui xuebao, Vol 44, Iss 7, Pp 70-79 (2025)

Schlagwörter: dam deformation, complete ensemble empirical mode decomposition of adaptive noise, sample entropy reconstruction, k-means clustering algorithm, symbiotic search algorithm, variational mode decomposition, Agriculture (General), S1-972, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978

Dateibeschreibung: electronic resource

Relation: https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20250709&flag=1; https://doaj.org/toc/1672-3317

Zugangs-URL: https://doaj.org/article/b5dc5aaa87c34cd7bc2f7678417d8975

Implementation of K-Means clustering on student learning achievements based on social economic and social related

Autoren: Hotmaida Lestari Siregar Rahma Hidayanthi Air Langga Dewa Sakti

Quelle: Research and Development in Education, Vol 4, Iss 2, Pp 1447-1459 (2024)

Schlagwörter: k-means clustering algorithm, student learning achievement, social and socioeconomic, Education

Zugangs-URL: https://doaj.org/article/874519692f2e4986a8fbe8c6bc49fc16

Optimization configuration of flexible interconnection device DG based on improved E-C-Kmeans and GA under SOP support

Autoren: Zhichun Yang Lei Yang Junxiong He et al.

Quelle: Systems and Soft Computing, Vol 7, Iss , Pp 200414- (2025)

Schlagwörter: Flexible interconnection devices, Distributed power supply, Genetic algorithm, Feature selection weighted k-means clustering algorithm, Optimization configuration, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772941925002339; https://doaj.org/toc/2772-9419

Zugangs-URL: https://doaj.org/article/d89e8cc1b3ca4428b16dc72fc380d376

Design improvement of screw down stop valve assembly through K Means clustering algorithm

Autoren: Sidhant Singh Abhinav Shaji Kumar Akilan S. et al.

Quelle: Cogent Engineering, Vol 12, Iss 1 (2025)

Schlagwörter: Part consolidation, K-Means clustering algorithm, additive manufacturing, screw-down stop valve, design improvement, Artificial Intelligence, Engineering (General). Civil engineering (General), TA1-2040

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2331-1916

Zugangs-URL: https://doaj.org/article/11da4e003b4d43b293fce51e9f1f90a9

Research on optimization of personalized recommendation method based on RFMQ model— taking outdoor sports products in cross-border e-commerce as an example

Autoren: Qianlan Chen Chupeng Chen Zubai Jiang et al.

Quelle: Frontiers in Big Data, Vol 8 (2025)

Schlagwörter: cross-border e-commerce, collaborative filtering, segmentation by index, k-means clustering algorithm, RFMQ model, customer segmentation, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fdata.2025.1680669/full; https://doaj.org/toc/2624-909X

Zugangs-URL: https://doaj.org/article/694e6ba88d0240f6aa766241e459d78d

Short-Term Wind Power Prediction Method Based on Multimodal Feature Extraction-Convolutional Neural Network-Long-Short Term Memory Network

Autoren: KUANG Honghai GUO Qian

Quelle: 发电技术, Vol 46, Iss 1, Pp 93-102 (2025)

Schlagwörter: multi-feature extraction, convolutional neural network, long short-term memory networks, k-means clustering algorithm, wind power prediction, short-term prediction, ablation experiment, Applications of electric power, TK4001-4102, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Science

Dateibeschreibung: electronic resource

Relation: https://www.pgtjournal.com/article/2025/2096-4528/2096-4528-2025-46-1-93.shtml; https://doaj.org/toc/2096-4528

Zugangs-URL: https://doaj.org/article/f7d0e175f47e43c2bd13fb814eaf86ac

Identification of an algorithm for the analysis and study of urban road network trajectories

Autoren: Lyazat Naizabayeva Gulzat Turken Zukhra Abdiakhmetova et al.

Quelle: Eastern-European Journal of Enterprise Technologies; Vol. 2 No. 3 (128) (2024): Control processes; 14-27
Eastern-European Journal of Enterprise Technologies; Том 2 № 3 (128) (2024): Процеси управління; 14-27

Schlagwörter: паралельні обчислення, trajectory clustering, parallel computing, 11. Sustainability, алгоритм кластеризації на основі сітки методом K-середніх, кластеризація траєкторії, точка перевантаження, congestion point, grid K-means clustering algorithm

Dateibeschreibung: application/pdf

Zugangs-URL: https://journals.uran.ua/eejet/article/view/298274

Face Sketch Image Category Classification Using Bag of Words (BoW) Model

Autoren: Mg, Wai Hnin Eaindrar

Schlagwörter: Category classification, Scale Invariant Feature Transform (SIFT), Speeded Up Robust Feature (SURF) descriptors, K-means clustering algorithm, Bag of Words (BoW) model, Support Vector Machine (SVM) classifier

Abnormal Electricity Consumption Detection Method for Smart Grid Using Fusion Matrix Completion and Improved Clustering Algorithm

Autoren: Ning Zhang Liang Zhu

Quelle: IEEE Access, Vol 12, Pp 76634-76647 (2024)

Schlagwörter: Matrix completion, data privacy, monitor, 9. Industry and infrastructure, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, K-means clustering algorithm, smart grid, 7. Clean energy, TK1-9971

Zugangs-URL: https://doaj.org/article/8a9e16bc7eb24aee9dad2bd79a9e8e73

Three distinct classes of myenteric ganglia in mice and humans: insights from quantitative analyses

Autoren: Luyao Wu Lei Xiang Yingjian Chen et al.

Quelle: PeerJ, Vol 13, p e19329 (2025)

Schlagwörter: Myenteric plexus, Enteric nervous system, Enteric ganglion, Intestinal development, Morphological classification, K-means clustering algorithm, Medicine, Biology (General), QH301-705.5

Dateibeschreibung: electronic resource

Relation: https://peerj.com/articles/19329.pdf; https://peerj.com/articles/19329/; https://doaj.org/toc/2167-8359

Zugangs-URL: https://doaj.org/article/06f4d4471f904008ac1f55356a034e1a

A Method for Joint Edge Server Deployment and Service Placement

Autoren: ZHANG Junna, HAN Chaochen, CHEN Jiawei, ZHAO Xiaoyan, YUAN Peiyan

Quelle: Jisuanji gongcheng, Vol 50, Iss 10, Pp 266-280 (2024)

Schlagwörter: edge computing(ec), edge server(es) deployment, service placement, k-means clustering algorithm, multi-agent reinforcement learning algorithm, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20241024.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/caf49c3a82cb4db7a15e907b31f5e847

Study on surface wind load zoning of long-span roof based on improved Canopy-k-means algorithm

Autoren: Yuxue LI Jun JI Yang DONG

Quelle: Journal of Hebei University of Science and Technology, Vol 45, Iss 5, Pp 530-538 (2024)

Schlagwörter: thin shell structure, wind load measurement, wind load zone, k-means clustering algorithm, canopy algorithm, Technology

Dateibeschreibung: electronic resource

Relation: https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202405008?st=article_issue; https://doaj.org/toc/1008-1542

Zugangs-URL: https://doaj.org/article/b1de7e851eeb476dad1ac1ba72d347a7

Topology-distance-based clustering method for water distribution network partitioning

Autoren: Kun Du Jiangyun Li Wei Xu et al.

Quelle: Aqua, Vol 72, Iss 11, Pp 2186-2198 (2023)

Schlagwörter: Environmental sciences, community structure detection, k-means clustering algorithm, partitioning, water distribution network, 0208 environmental biotechnology, 0207 environmental engineering, GE1-350, 02 engineering and technology, Environmental technology. Sanitary engineering, TD1-1066, 6. Clean water

Zugangs-URL: https://doaj.org/article/f30591aaa7374395a14bd29d42b6b451

Inferring Station Numbers in Metro Trips Using Mobile Magnetometer Sensor via an Unsupervised K-means Clustering Algorithm

Autoren: seyedhassan hosseini guido gentile Ken Koshy Varghese et al.

Quelle: 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). :1-6

Schlagwörter: metro station detection, magnetometer sensor, mobile data, k-means clustering algorithm

Dateibeschreibung: application/pdf

Enhanced Whale Optimization Algorithm with Novel Strategies for 3D TSP Problem

Autoren: Yu Zhou Zijun Hao

Quelle: Biomimetics, Vol 10, Iss 9, p 560 (2025)

Schlagwörter: improved whale optimization algorithm, a dynamic cluster center-guided search strategy, K-means clustering algorithm, dual-modal population diversity-driven adaptive mutation strategy, pattern search strategy, GPSPositiveBasis2N algorithm, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2313-7673/10/9/560; https://doaj.org/toc/2313-7673

Zugangs-URL: https://doaj.org/article/b9f5c60e687948f1ac39e56682caafa0