Results 201 to 210 of about 66,224 (345)

Link Spam Detection Based on DBSPAMCLUST with Fuzzy C-Means Clustering

, 2010
S. K. Jayanthi, S. Sasikala
openalex   +1 more source

Marker-controlled watershed algorithm and fuzzy C-means clustering machine learning: automated segmentation of glioblastoma from MRI images in a case series. [PDF]

Ann Med Surg (Lond)
Ghaderi S, Mohammadi S, Ghaderi K, Kiasat F, Mohammadi M.   +4 more
europepmc   +1 more source

Semiautomatic Epicardial Fat Segmentation Based on Fuzzy c-Means Clustering and Geometric Ellipse Fitting. [PDF]

J Healthc Eng, 2017
Zlokolica V, Krstanović L, Velicki L, Popović B, Janev M, Obradović R, Ralević NM, Jovanov L, Babin D.   +8 more
europepmc   +1 more source

Impact of standardization applied to the diagnosis of LT-PEMFC by Fuzzy C-Means clustering

, 2021
Damien Chanal, Yousfi Steiner, Nadia, Chamagne, Didier, Marie‐Cécile Péra   +3 more
openalex   +1 more source

Analysis of Self-Organizing Maps and Fuzzy C-Means methods in Clustering Teacher Data for Nominations of Candidates for Education Unit Supervisors

, 2022
Abd. Rahman
openalex   +2 more sources

Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering. [PDF]

J Digit Imaging, 2019
Kumar SN, Fred AL, Varghese PS.
europepmc   +1 more source

Unveiling the Triple Transformation in Supply Chain Management: A BERT-Based Topic Modeling and Fuzzy C-Means Clustering Approach

Nazmiye ELİGÜZEL, İbrahim Miraç Eligüzel, Türkay DERELİ   +2 more
openalex   +1 more source

[Lung nodule segmentation based on fuzzy c-means clustering and improved random walk algorithm]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2019
Liu C, Zhang H, Wang H, Li Y, Wang G.
europepmc   +1 more source

SkelPy: A graphic user interface–based approach for skeletonizing fungal networks

Applications in Plant Sciences, EarlyView.
Abstract Premise Traditional methods to quantify mycelial growth rely on destructive sampling to quantify biomass. Moreover, these approaches limit continuous observation and require a sufficient mass to measure. Recent work examines hyphal network traits by reconstructing the hyphal network from spatial coordinates via images, providing information ...
Melanie Madrigal, Aaron J. Moseley, Jenna C. Moseley, Jordan A. Dowell   +3 more
wiley   +1 more source

Fuzzy C-Means Clustering and Energy Efficient Cluster Head Selection for Cooperative Sensor Network. [PDF]

Sensors (Basel), 2016
Bhatti DM, Saeed N, Nam H.
europepmc   +1 more source