Suchergebnisse - "Fuzzy C-means algorithm"

Devising a method for categorizing combat wheeled vehicles using fuzzy cluster analysis

Quelle: Eastern-European Journal of Enterprise Technologies; Vol. 2 No. 1 (134) (2025): Engineering technological systems; 13-21
Eastern-European Journal of Enterprise Technologies; Том 2 № 1 (134) (2025): Виробничо-технологічні системи; 13-21

Schlagwörter: бойова колісна машина, бойова маса, fuzzy c-means algorithm, алгоритм нечітких c-середніх, fuzzy cluster analysis, combat mass, wheeled combat vehicle, нечіткий кластерний аналіз

Dateibeschreibung: application/pdf

Zugangs-URL: https://journals.uran.ua/eejet/article/view/324546

Towards Code Smell Detection: A Multiphase Methodology Using Fuzzy Logic-based Feature Selection

Autoren: Monteiro, Bruno Miguel Gonçalves Pombo, Nuno Gonçalo Coelho Costa uBibliorum

Weitere Verfasser: Monteiro, Bruno Miguel Gonçalves Pombo, Nuno Gonçalo Coelho Costa uBibliorum

Quelle: urn:tid:204026741

Schlagwörter: Qualidade de Software, Code Smells, Engenharia de Software, Modified Fuzzy c-Means Algorithm with Supervision, Seleção de Caraterísticas

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10400.6/19032

Evaluating different strategies for machine learning training applied to flow forecasting based on clustering of flood events

Autoren: Patrícia Cristina Steffen Júlio Gomes Eloy Kaviski et al.

Quelle: Revista Brasileira de Recursos Hídricos, Vol 30 (2025)

Schlagwörter: TC401-506, Data-driven intelligent models, Technology, Hydraulic engineering, Hydrological modeling, Support Vector Regression algorithm, Artificial Intelligence techniques, River, lake, and water-supply engineering (General), Environmental sciences, Geography. Anthropology. Recreation, GE1-350, TC1-978, Fuzzy C-Means algorithm

Zugangs-URL: https://doaj.org/article/9e5024b51cff4a8a85095a4af0debb97

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

Autoren: Pradip Paithane Sarita Jibhau Wagh ELAKPI

Weitere Verfasser: Pradip Paithane Sarita Jibhau Wagh ELAKPI

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

Schlagwörter: 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)

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/af49d43d9ff541fda206b76337033d22
https://ela.kpi.ua/handle/123456789/65568

A generalized fuzzy-possibilistic c-means clustering algorithm

Autoren: Mirtill-Boglárka Naghi Levente Kovács László Szilágyi

Quelle: Acta Universitatis Sapientiae: Informatica, Vol 15, Iss 2, Pp 404-431 (2023)

Schlagwörter: fuzzy c-means algorithm, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, 0101 mathematics, 01 natural sciences, possibilistic c-means algorithm, mixed partition

Zugangs-URL: https://doaj.org/article/70bdee112ab54604a998ae2f624e01a5

Module division method of complex products for responding to user’s requirements

Autoren: Juan Hao Xinqin Gao Yong Liu et al.

Quelle: Alexandria Engineering Journal, Vol 82, Iss, Pp 404-413 (2023)

Schlagwörter: 0209 industrial biotechnology, 0211 other engineering and technologies, User requirements, Design Structure Matrix, Modular division, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), Fuzzy C-means Algorithm

Zugangs-URL: https://doaj.org/article/bd94f37ebe0748889825193fedd105c0

Solving dynamic multi-objective engineering design problems via fuzzy c-means prediction algorithm

Autoren: Zhang, Qingyang Fu, Xueliang Yang, Shengxiang et al.

Schlagwörter: Dynamic multi-objective optimization, Fuzzy C-means algorithm, Regression analysis, Partial mutation strategy

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/2086/25250; https://doi.org/10.1016/j.swevo.2025.102057

Verfügbarkeit: https://hdl.handle.net/2086/25250
https://doi.org/10.1016/j.swevo.2025.102057

Traffic coordination by reducing jamming attackers in VANET using probabilistic Manhattan Grid Topology for automobile applications

Autoren: G. B. Santhi Suma Sira Jacob D. Sheela et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)

Schlagwörter: Vehicular adhoc network, Fuzzy C-means algorithm, Modified fisheye state routing algorithm, Modified Manhattan grid topology, Particle swarm optimization, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/d421b59c97c04fa08053b072eb826b1a

Robust unsupervised small area change detection from SAR imagery using deep learning

Autoren: Xiaowei Gu Peter M. Atkinson Xiaoheng Tan et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 173:79-94

Schlagwörter: Fuzzy c-means algorithm, FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, deep learning, Deep learning, Synthetic aperture radar, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, difference image, fuzzy c-means algorithm, Difference image, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Change detection, change detection, synthetic aperture radar

Dateibeschreibung: text

Zugangs-URL: https://eprints.lancs.ac.uk/id/eprint/150399/3/ISPRS_Accepted.pdf
http://arxiv.org/abs/2011.11005
https://pubag.nal.usda.gov/catalog/7242461
https://arxiv.org/pdf/2011.11005
http://ui.adsabs.harvard.edu/abs/2021JPRS..173...79Z/abstract
https://eprints.soton.ac.uk/446653/
https://arxiv.org/abs/2011.11005
https://www.sciencedirect.com/science/article/pii/S0924271621000046
http://nora.nerc.ac.uk/id/eprint/529686/
https://eprints.lancs.ac.uk/id/eprint/150399/

Trust aware fuzzy clustering based reliable routing in Manet

Autoren: C Edwin Singh S Sharon Priya B Muthu Kumar et al.

Quelle: Measurement: Sensors, Vol 33, Iss , Pp 101142- (2024)

Schlagwörter: Mobile adhoc network, Routing protocols, Improved fuzzy c-means algorithm, Security, Bacteria foraging algorithm, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2665917424001181; https://doaj.org/toc/2665-9174

Zugangs-URL: https://doaj.org/article/a152d824a38946809f7d03bd7247a2a3

A Novel Fuzzy C—Mean Based Segmentation Technique for Spinal Cord Tumors from MR Images

Autoren: Nisha A. Auti, B. K. Sarkar, Alam N. Shaikh

Quelle: International Journal of Intelligent Systems and Applications in Engineering; Vol. 12 No. 21s (2024); 291-295

Schlagwörter: Brain tumor, image segmentation, Fuzzy C Means algorithm, Magnetic Resonance Image

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.ijisae.org/index.php/IJISAE/article/view/5421

Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization

Autoren: C. Jaspin Jeba Sheela G. Suganthi

Quelle: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 3, Pp 557-566 (2022)

Schlagwörter: Image segmentation, Greedy snake model, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, MRI images, QA75.5-76.95, 02 engineering and technology, Fuzzy C-means algorithm

Zugangs-URL: https://doaj.org/article/60ae33cfe4884e6ab64fc26ec70e66e8
https://www.sciencedirect.com/science/article/pii/S1319157818313120
https://www.sciencedirect.com/science/article/abs/pii/S1319157818313120

A Hybrid Algorithm for Location-Routing Sustainable Optimization Under Fuzzy Demand

Autoren: Na Li Zhifeng Fan

Quelle: IEEE Access, Vol 10, Pp 12191-12200 (2022)

Schlagwörter: fuzzy demand, fuzzy c-means algorithm, genetic algorithm, tabu search, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Location-routing problem, TK1-9971, 12. Responsible consumption

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/9668973/09687573.pdf
https://doaj.org/article/6a93c8ce6ff040699067f7e50a416831

An Energy-Efficient Cluster Head Selection and Secure Data Transmission in WSN using Spider Monkey Optimized Algorithm and Hybrid Cryptographic with Security

Autoren: Yuvaraja, M. Sureshkumar, S. James, S. Joseph et al.

Quelle: Salud, Ciencia y Tecnología – Serie de Conferencias

Schlagwörter: Wireless Sensor Network (WSN), Spider Monkey Optimised Fuzzy C-Means Algorithm (SMOFCM), Cluster Head (CH), Advanced Encryption Standard (AES), Hybrid Cryptographic, Rivest-Shamir-Adleman (RSA)

Dateibeschreibung: application/pdf

Relation: https://conferencias.ageditor.ar/index.php/sctconf/article/view/1068

Verfügbarkeit: https://conferencias.ageditor.ar/index.php/sctconf/article/view/1068
https://doi.org/10.56294/sctconf2024650

MATHEMATICAL METHODS IN CYBER SECURITY: CLUSTER ANALYSIS AND ITS APPLICATION IN INFORMATION AND CYBERNETIC SECURITY ; МАТЕМАТИЧНІ МЕТОДИ В КІБЕРБЕЗПЕЦІ: КЛАСТЕРНИЙ АНАЛІЗ ТА ЙОГО ЗАСТОСУВАННЯ В ІНФОРМАЦІЙНІЙ ТА КІБЕРНЕТИЧНІЙ БЕЗПЕЦІ

Autoren: Шевченко, Світлана Жданова, Юлія Спасітєлєва , Світлана et al.

Quelle: Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique»; Vol. 3 No. 23 (2024): Cybersecurity: Education, Science, Technique; 258-273 ; Електронне фахове наукове видання «Кібербезпека: освіта, наука, техніка»; Том 3 № 23 (2024): Кібербезпека: освіта, наука, техніка; 258-273 ; 2663-4023 ; 10.28925/2663-4023.2024.23

Schlagwörter: mathematical methods, cluster analysis, informational security, cyber security, “nearest neighbor” algorithm, “k-means” algorithm, “fuzzy c-means” algorithm, “cosine similarity” algorithm, математичні методи, кластерний аналіз, інформаційна безпека, кібербезпека, алгоритм «найближчого сусіда», алгоритм «k-means», алгоритм «fuzzy c-means», алгоритм «cosine similarity»

Dateibeschreibung: application/pdf

Relation: https://csecurity.kubg.edu.ua/index.php/journal/article/view/568/454; https://csecurity.kubg.edu.ua/index.php/journal/article/view/568

Verfügbarkeit: https://csecurity.kubg.edu.ua/index.php/journal/article/view/568
https://doi.org/10.28925/2663-4023.2024.23.258273

Simulation-Enhanced MQAM Modulation Identification in Communication Systems: A Subtractive Clustering-Based PSO-FCM Algorithm Study

Autoren: Zhi Quan Hailong Zhang Jiyu Luo et al.

Quelle: Information, Vol 15, Iss 1, p 42 (2024)

Schlagwörter: modulation recognition, fuzzy c-means algorithm, constellation diagram, particle swarm optimization algorithm, MQAM signal, Information technology, T58.5-58.64

Relation: https://www.mdpi.com/2078-2489/15/1/42; https://doaj.org/toc/2078-2489; https://doaj.org/article/7043244d13c74d6f8cc715c23077a0ac

Verfügbarkeit: https://doi.org/10.3390/info15010042
https://doaj.org/article/7043244d13c74d6f8cc715c23077a0ac

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

Quelle: 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

Schlagwörter: 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)

Dateibeschreibung: application/pdf

Zugangs-URL: http://journal.iasa.kpi.ua/article/view/297405

The Effect of the Number of Key-Frames on the Facial Emotion Recognition Accuracy

Autoren: Suhaila N. Mohammed Alia Karim Abdul Hassan

Quelle: Engineering and Technology Journal, Vol 39, Iss 1B, Pp 89-100 (2021)

Schlagwörter: Technology, Science, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, key-frame selection, facial expressions fuzzy c-means algorithm graph-based substructure pattern (gspan) algorithm

Zugangs-URL: https://doaj.org/article/9ab24c7b069945f18c0a21c94a6213df
https://etj.uotechnology.edu.iq/article_168154_en.html
http://www.engtechjournal.org/index.php/et/article/view/1806
http://www.engtechjournal.org/index.php/et/article/download/1806/1189
http://mail.engtechjournal.org/index.php/et/article/view/1806
https://etj.uotechnology.edu.iq/article_168154_99b53c80c56e5a1d11cd68f102ce6afc.pdf

A review on suppressed fuzzy c-means clustering models

Autoren: Szilágyi, László Lefkovits, László Iclanzan, David

Quelle: Acta Universitatis Sapientiae: Informatica, Vol 12, Iss 2, Pp 302-324 (2020)

Schlagwörter: QA75 Electronic computers. Computer science / számítástechnika, fuzzy c-means algorithm, számítógéptudomány, Electronic computers. Computer science, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, suppressed fuzzy c-means algorithm, data mining, QA75.5-76.95, 02 engineering and technology, 10. No inequality, image segmentation, 62h30

Dateibeschreibung: text

Zugangs-URL: https://www.sciendo.com/pdf/10.2478/ausi-2020-0018
https://doaj.org/article/ead1c3172a624d678981b3d774c30f91
https://sciendo.com/article/10.2478/ausi-2020-0018
https://sciendo.com/pdf/10.2478/ausi-2020-0018
https://doaj.org/article/ead1c3172a624d678981b3d774c30f91

A novel hybrid Extreme Learning Machine and Teaching–Learning-Based​ Optimization algorithm for skin cancer detection

Autoren: N. Priyadharshini Selvanathan N. B. Hemalatha et al.

Quelle: Healthcare Analytics, Vol 3, Iss , Pp 100161- (2023)

Schlagwörter: Extreme learning classifier, Teaching learning based optimization, Improved weighted fuzzy C-Means algorithm, Segmentation, Skin cancer, Neural networks, Computer applications to medicine. Medical informatics, R858-859.7

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S277244252300028X; https://doaj.org/toc/2772-4425

Zugangs-URL: https://doaj.org/article/8a95d72d9e7441719cc1a9a933325c96