Výsledky vyhľadávania - "Fuzzy C-means clustering algorithm"

SAR Images Change Detection Based on Attention Mechanism-Convolutional Wavelet Neural Network

Autori: Jiahui E Lu Wang Chunhui Zhao a ďalší

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 12133-12149 (2025)

Predmety: Ocean engineering, QC801-809, fuzzy c-means clustering algorithm, Geophysics. Cosmic physics, Attention mechanism, diffusion model, change detection, convolutional wavelet neural network (CWNN), TC1501-1800

Prístupová URL adresa: https://doaj.org/article/7bb6bdb961f54ad0b18a6f0d44072b5d

Novel modified kernel fuzzy c-means algorithm used for cotton leaf spot detection

Autori: Pradip Paithane Sarita Jibhau Wagh ELAKPI

Prispievatelia: Pradip Paithane Sarita Jibhau Wagh ELAKPI

Zdroj: Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 4 (2023)

Predmety: кластеризація, Fuzzy Clustering Method (FCM), 4. Education, Kernel Fuzzy C-means Algorithm (KFCM), QA75.5-76.95, новий модифікований алгоритм кластеризації нечіткого C-середнього ядра (NMKFCM), Clustering, Cotton Leaf Disease, коефіцієнт точності кластера (CAR), 3. Good health, метод нечіткої кластеризації (FCM), Cluster Accuracy Rate (CAR), Electronic computers. Computer science, хвороба листя бавовника, алгоритм нечіткого C-середнього ядра (KFCM), Novel Modified Kernel Fuzzy C-Means Clustering Algorithm (NMKFCM)

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/af49d43d9ff541fda206b76337033d22
https://ela.kpi.ua/handle/123456789/65568

Behavioral Correlation-Based Residential Space Modularization Using Design Structure Matrix and Fuzzy C-Means Clustering Algorithm

Autori: Fanbo Zeng Xiaojun Rao Jianhua Lei a ďalší

Zdroj: Buildings ; Volume 15 ; Issue 4 ; Pages: 647

Predmety: behavioral correlation, modularization, design structure matrix, residential space, Fuzzy C-Means Clustering Algorithm

Popis súboru: application/pdf

Relation: Building Materials, and Repair & Renovation; https://dx.doi.org/10.3390/buildings15040647

Dostupnosť: https://doi.org/10.3390/buildings15040647

Enhancing Learning Object Analysis through Fuzzy C-Means Clustering and Web Mining Methods

Autori: Meryem Amane Karima Aissaoui Mohammed Berrada

Zdroj: Emerging Science Journal, Vol 7, Iss 3, Pp 799-807 (2023)

Predmety: FOS: Computer and information sciences, Artificial intelligence, web-based mining techniques, Set (abstract data type), 02 engineering and technology, Adaptive Learning, Cluster analysis, Selection (genetic algorithm), Fuzzy Logic, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), T1-995, Similarity (geometry), learning objects, Data mining, Technology (General), H1-99, Metadata, fuzzy c-means clustering algorithm, 4. Education, 05 social sciences, Application of Fuzzy Logic in Educational Assessment, multi-label classification (mlc), Computer science, Web-Based Testing, Programming language, Social sciences (General), World Wide Web, Categorization, Computer Science, Physical Sciences, Feature selection, Object (grammar), Learning object, 0509 other social sciences, Euclidean distance, machine learning, Information Systems

Prístupová URL adresa: https://doaj.org/article/9f6ae588a81e46dfa0891f1192dfb043

USING INTUITIONISTIC FUZZY C-MEANS CLUSTERING ALGORITHMS TO MODEL COVID-19 CASES FOR COUNTRIES IN THE WORLDWIDE

Autori: Nihal İNCE Sevil ŞENTÜRK

Zdroj: Volume: 24, Issue: 1 71-85
Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering

Predmety: Intuitionistic fuzzy sets, Fuzzy C-means clustering algorithm, COVID-19, Statistical analysis, 3. Good health

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/estubtda/issue/76394/1258361

Three-dimensional gravity inversion based on optimization processing from edge detection

Autori: Sheng Liu Shuanggen Jin Qiang Chen

Zdroj: Geodesy and Geodynamics, Vol 13, Iss 5, Pp 503-524 (2022)

Predmety: QB275-343, Gravity inversion, QC801-809, Locally weighted constraint, Geophysics. Cosmic physics, Petrophysical constrain, Fuzzy c-means clustering algorithm, 01 natural sciences, Geodesy, OpenAcc technology, 0105 earth and related environmental sciences

Prístupová URL adresa: https://doaj.org/article/95866bcdb254475c9c229ad2a45b98b0

Automatic segmentation algorithm for high-spatial-resolution remote sensing images based on self-learning super-pixel convolutional network

Autori: Zenan Yang Haipeng Niu Liang Huang a ďalší

Zdroj: International Journal of Digital Earth, Vol 15, Iss 1, Pp 1101-1124 (2022)

Predmety: 0202 electrical engineering, electronic engineering, information engineering, Mathematical geography. Cartography, 02 engineering and technology, deep convolution neural network model, prior entropy fuzzy c-means clustering algorithm, super-pixel algorithm, remote sensing images, GA1-1776, automatic fuzzy clustering

Prístupová URL adresa: https://doaj.org/article/45a02a81335a4590a41ee6d308f2e7c1

Computed tomography of ground glass nodule image based on fuzzy C-means clustering algorithm to predict invasion of pulmonary adenocarcinoma

Autori: Min Zhang Lin Zhu Yijun Sun a ďalší

Zdroj: Journal of Radiation Research and Applied Sciences, Vol 15, Iss 1, Pp 152-158 (2022)

Predmety: Medical physics. Medical radiology. Nuclear medicine, 03 medical and health sciences, 0302 clinical medicine, Ground glass nodule, TK9001-9401, R895-920, Nuclear engineering. Atomic power, Pulmonary adenocarcinoma, Computed tomography, Fuzzy C-means clustering algorithm

Prístupová URL adresa: https://doaj.org/article/2e6b0534ff55447f898740e02142c72f

Fuzzy Classification Approach to Select Learning Objects Based on Learning Styles in Intelligent E-Learning Systems

Autori: Ibtissam Azzi Abdelhay Radouane Loubna Laaouina a ďalší

Zdroj: Informatics, Vol 11, Iss 2, p 29 (2024)

Predmety: Intelligent e-learning systems, learning objects selection, learning styles, Felder–Silverman learning style model, IEEE learning objects metadata, fuzzy C means clustering algorithm, Information technology, T58.5-58.64

Relation: https://www.mdpi.com/2227-9709/11/2/29; https://doaj.org/toc/2227-9709; https://doaj.org/article/dc92b2de34dc4dbf857c566154c7cd8f

Dostupnosť: https://doi.org/10.3390/informatics11020029
https://doaj.org/article/dc92b2de34dc4dbf857c566154c7cd8f

Novel modified kernel fuzzy c-means algorithm used for cotton leaf spot detection

Zdroj: System research and information technologies; No. 4 (2023); 85-99
Системные исследования и информационные технологии; № 4 (2023); 85-99
Системні дослідження та інформаційні технології; № 4 (2023); 85-99

Predmety: кластеризація, метод нечіткої кластеризації (FCM), Cluster Accuracy Rate (CAR), Fuzzy Clustering Method (FCM), Kernel Fuzzy C-means Algorithm (KFCM), хвороба листя бавовника, алгоритм нечіткого C-середнього ядра (KFCM), новий модифікований алгоритм кластеризації нечіткого C-середнього ядра (NMKFCM), Clustering, Cotton Leaf Disease, Novel Modified Kernel Fuzzy C-Means Clustering Algorithm (NMKFCM), коефіцієнт точності кластера (CAR)

Popis súboru: application/pdf

Prístupová URL adresa: http://journal.iasa.kpi.ua/article/view/297405

A classification method of stress in plants using unsupervised learning algorithm and chlorophyll fluorescence technology

Autori: Miao Lu Pan Gao Jin Hu a ďalší

Zdroj: Front Plant Sci
Frontiers in Plant Science, Vol 14 (2023)

Predmety: chlorophyll fluorescence parameters, Plant culture, PSI, Plant Science, low temperature, uniform manifold approximation and projection, Fuzzy C-means clustering algorithm, SB1-1110

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37936937
https://doaj.org/article/4de599ff677f48f9a2768085cb77f71a

Combination Evaluation Method of Fuzzy C-Mean Clustering Validity Based on Hybrid Weighted Strategy

Autori: H. Y. Wang J. S. Wang G. Wang

Zdroj: IEEE Access, Vol 9, Pp 27239-27261 (2021)

Predmety: weighted combination, expert weighting, 0202 electrical engineering, electronic engineering, information engineering, information entropy weighting, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, clustering validity function, Fuzzy C-means clustering algorithm, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09350619.pdf
https://doaj.org/article/9cb97f5716e14e4a8a817334c2e65ff5

Correlation analysis of typical fluctuation process between wind speed and wind power

Autori: CHENG Lin JIA Yichao WANG Jili a ďalší

Zdroj: Xi'an Gongcheng Daxue xuebao, Vol 36, Iss 5, Pp 95-101 (2022)

Predmety: wind speed, power fluctuation, correlation characteristics, k-means clustering algorithm, fuzzy c-means clustering algorithm, Materials of engineering and construction. Mechanics of materials, TA401-492, Environmental engineering, TA170-171

Popis súboru: electronic resource

Relation: http://journal.xpu.edu.cn/en/#/digest?ArticleID=1256; https://doaj.org/toc/1674-649X

Prístupová URL adresa: https://doaj.org/article/0b70950717b44e0fb568f3c117003b01

Predictive model of energy consumption for office building by using improved GWO-BP

Autori: Tian, Ying Yu, Junqi Zhao, Anjun

Zdroj: Energy Reports, Vol 6, Iss, Pp 620-627 (2020)

Predmety: ddc:330, 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, BP neural network, Building electrical load prediction, Grey wolf optimizer algorithm, 7. Clean energy, Fuzzy C-means clustering algorithm, TK1-9971

Prístupová URL adresa: https://doaj.org/article/887e757e288d4ee79edb27990f563ac4
https://www.sciencedirect.com/science/article/pii/S2352484719312387
https://www.econstor.eu/bitstream/10419/244063/1/169415131X.pdf
https://www.sciencedirect.com/science/article/abs/pii/S2352484719312387
https://www.econstor.eu/handle/10419/244063
http://hdl.handle.net/10419/244063

Semi-Supervised Fuzzy C-Means Clustering Optimized by Simulated Annealing and Genetic Algorithm for Fault Diagnosis of Bearings

Autori: Jianbin Xiong Xi Liu Xingtong Zhu a ďalší

Zdroj: IEEE Access, Vol 8, Pp 181976-181987 (2020)

Predmety: Rotating machinery, simulated annealing algorithm, mutual dimensionless indexes, fuzzy c-means clustering algorithm, genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09212681.pdf
https://doaj.org/article/5b4516f899294cdcaf9095b0c9108af8
https://dblp.uni-trier.de/db/journals/access/access8.html#XiongLZZLZ20
https://ieeexplore.ieee.org/document/9212681

Enhancing Learning Object Analysis through Fuzzy C-Means Clustering and Web Mining Methods

Autori: Amane, Meryem Aissaoui, Karima Berrada, Mohammed

Zdroj: Emerging Science Journal; Vol. 7 No. 3 (2023): June; 799-807 ; 2610-9182

Predmety: Learning Objects, Multi-Label Classification (MLC), Web-Based Mining Techniques, Fuzzy C-Means Clustering Algorithm, Machine Learning

Popis súboru: application/pdf

Relation: https://ijournalse.org/index.php/ESJ/article/view/1198/pdf; https://ijournalse.org/index.php/ESJ/article/view/1198

Dostupnosť: https://ijournalse.org/index.php/ESJ/article/view/1198

ADVANCING DATA ANALYSIS THROUGH FUZZY PRINCIPAL COMPONENT ANALYSIS: A COMPREHENSIVE EXPLORATION IN CANCER DATA INSIGHTS

Autori: HASSANIA HAMZAOUI BOUCHRA DAOUDI MOUNIR GOUIOUEZ

Predmety: Fuzzy Set Theory, Fuzzy C-Means Clustering Algorithm, Membership Function, Fuzzy Principal Component Analysis

Relation: https://zenodo.org/records/10301651; oai:zenodo.org:10301651; https://doi.org/10.5281/zenodo.10301651

Dostupnosť: https://doi.org/10.5281/zenodo.10301651
https://zenodo.org/records/10301651

A Multi-Criteria Decision Intelligence Framework to Predict Fire Danger Ratings in Underground Engineering Structures

Autori: Muhammad Kamran Waseem Chaudhry Ridho Kresna Wattimena a ďalší

Zdroj: Fire, Vol 6, Iss 11, p 412 (2023)

Predmety: underground fire, safety, KNN, coal, fuzzy c-means clustering algorithm, ISOMAP, Physics, QC1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2571-6255/6/11/412; https://doaj.org/toc/2571-6255

Prístupová URL adresa: https://doaj.org/article/54b1f2a6210e40c3a8891e86d44a1e1d

Action recognition method for mine kilometer directional drilling rig

Autori: XIANG Xueyi LEI Zhipeng LI Linbo a ďalší

Zdroj: Gong-kuang zidonghua, Vol 48, Iss 9, Pp 140-147, 156 (2022)

Predmety: mine kilometer directional drilling rig, action recognition, rotation with drill pipe, drilling with drill pipe, vibration signal, standard recognition eigenvector, empirical wavelet transform, fuzzy c-means clustering algorithm, Mining engineering. Metallurgy, TN1-997

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1671-251X

Prístupová URL adresa: https://doaj.org/article/158ea55d463c4a48a943c5a95a6edfdc

Forecasting carbon price using empirical wavelet transform and gated recurrent unit neural network

Autori: Hui Liu Lei Shen

Zdroj: Carbon Management, Vol 11, Iss 1, Pp 25-37 (2020)

Predmety: Environmental sciences, empirical wavelet transform, carbon price forecasting, fuzzy c-means clustering algorithm, 0202 electrical engineering, electronic engineering, information engineering, GE1-350, 02 engineering and technology, gated recurrent unit neural network, 7. Clean energy

Prístupová URL adresa: https://doaj.org/article/8a8952e06bfd48dc9dc8fc4cfe911457
https://www.tandfonline.com/doi/abs/10.1080/17583004.2019.1686930