Results 51 to 60 of about 23,619,686 (300)
Modified Probabilistic Intuitionistic Fuzzy c-Means Clustering Algorithm: MPIFCM
The recently reported ‘Improved Probabilistic Intuitionistic Fuzzy c-Means (IPIFCM) algorithm’ is a computationally efficient algorithm that does fuzzy clustering based on Probabilistic Euclidean Distance measure (PEDM).
Muhuri, Pranab K. +3 more
core +1 more source
Cuttlefish and squid can catch their prey within milliseconds using specialized tentacles and suckers. The physics of how the suckers can attach so quickly has remained a mystery given the technical challenges of studying them in vivo. In this publication, we develop a hydrogel that retains imprints of the suckers in order to estimate the forces they ...
Alexander Koehnsen +4 more
wiley +1 more source
FUZZY CLUSTERING ALGORITHMS - COMPARATIVE STUDIES FOR NOISY SPEECH SIGNALS [PDF]
In the area of speech signal processing and recognition, application of soft computing techniques is one of the prominent techniques for clustering the overlapping data. Kernel FCM technique is one of the efficient method to cluster the data by computing
H Y Vani, M A Anusuya, M L Chayadevi
doaj +1 more source
Fuzzy C-means method for clustering microarray data [PDF]
Abstract Motivation: Clustering analysis of data from DNA microarray hybridization studies is essential for identifying biologically relevant groups of genes. Partitional clustering methods such as K-means or self-organizing maps assign each gene to a single cluster.
Dembélé, Doulaye, Kastner, Philippe
openaire +3 more sources
Hemocompatible Glycogen‐Tissue Plasminogen Activator Complexes for Enhanced Blood Clot Dissolution
Glycogen–heparin‐cRGD nanoparticles enable targeted delivery of tissue plasminogen activator (tPA) to thrombi through activated platelet recognition. The hemocompatible hybrids minimize interactions with blood and immune cells while retaining enzymatic biodegradability.
Nadiia Davydiuk +6 more
wiley +1 more source
Privacy Risk Assessment of Medical Big Data Based on Information Entropy and FCM Algorithm
With the rapid development of information technology and the advancement of medical informatization, medical big data plays an increasingly important role in diagnosis, treatment, health management, and other aspects.
Xiaoliang Zhang, Tianwei Guo
doaj +1 more source
A Definition for Hesitant fuzzy Partitions
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
doaj +1 more source
Achieving High Spatial Resolution Transmission Electron Microscopy Studies in Closed Liquid Cells
Achieving high spatial resolution is important for resolving nanoscale dynamic processes and structural transformations in liquid environments, yet remains challenging in liquid cell transmission electron microscopy (LCTEM). This review highlights key strategies, including mitigating membrane bulging, displacing or redistributing local liquid ...
Siqi Guo +9 more
wiley +1 more source
Optimasi Cluster Pada Fuzzy C-Means Menggunakan Algoritma Genetika Untuk Menentukan Nilai Akhir
Abstrak Nilai akhir mahasiswa dapat ditentukan dengan berbagai cara, beberapa diantaranya menggunakan range nilai, standart deviasi, dll. Dalam penelitian ini akan ditawarkan sebuah metode baru untuk menentukan nilai akhir mahasiswa menggunakan ...
Putri Elfa Mas`udia, Retantyo Wardoyo
doaj +1 more source
Hyperspectral imaging can simultaneously acquire spectral and spatial information of the samples and is, therefore, widely applied in the non-destructive detection of grain quality.
Zhen Kang +5 more
doaj +1 more source

