Results 101 to 110 of about 172,977 (352)
Single-Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization
Axioms, 2018 Data clustering is an important field in pattern recognition and machine learning. Fuzzy c-means is considered as a useful tool in data clustering. The neutrosophic set, which is an extension of the fuzzy set, has received extensive attention in solving ...
Qiaoyan Li +3 more
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Disorder‐Induced Extremely Low Thermal Conductivity of Graphite Fluoride
Advanced Science, EarlyView.This article investigates the effect of fluorination on the thermal conductivity of graphite fluoride, demonstrating the relationship between structural modification and thermal conductivity in an extreme case. The record‐low through‐plane thermal conductivity measured in exfoliated graphite fluoride flakes was found to correlate with the wide ...
Wonsik Lee +10 more
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Comparison Of Incomplete Data Handling Techniques For Neuro-Fuzzy System
Computer Science, 2014 Real-life data sets sometimes miss some values. The incomplete data needs specialized algorithms or preprocessing that allows the use of the algorithms for complete data.
Marcin Sikora, Krzysztof Simiński
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Advanced Science, EarlyView.An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He +28 more
wiley +1 more source
Cluster validity for fuzzy criterion clustering
1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Esogbue, A.O., Liu, Baoding
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Energy-Resourceful Routing by Fuzzy Based Secured CH Clustering for Smart Dust [PDF]
, 2022 D. Rajesh
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Nanoscale Spatial Organization of ARC High‐ and Low‐Order Assemblies at Excitatory Synapses
Advanced Science, EarlyView.ARC (Activity‐Regulated Cytoskeleton‐Associated protein) mediates synaptic plasticity by forming nanoscale assemblies in neurons. Using super‐resolution microscopy and time‐resolved anisotropy with targeted tagging, the study reveals low‐order ARC assemblies at synapses colocalizing with AMPARs, semi‐circular structures at endocytic zones, and 60–80 nm
Martina Damenti +13 more
wiley +1 more source
A COMPARISON OF TWO FUZZY CLUSTERING TECHNIQUES [PDF]
Journal of Process Management and New Technologies, 2013 - In fuzzy clustering, unlike hard clustering, depending on the membership value, a single object may belong exactly to one cluster or partially to more than one cluster.
Samarjit Das, Hemanta K. Baruah
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A Definition for Hesitant fuzzy Partitions
International Journal of Computational Intelligence Systems, 2016 In this paper, we define hesitant fuzzy partitions (H-fuzzy partitions) to consider the results of standard fuzzy clustering family (e.g. fuzzy c-means and intuitionistic fuzzy c-means).
Laya Aliahmadipour +3 more
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