Results 81 to 90 of about 23,619,686 (300)
This paper compares two fuzzy clustering algorithms – fuzzy subtractive clustering and fuzzy C-means clustering – to a multi-layer perceptron neural network for their ability to predict the severity of crash injuries and to estimate the response time on ...
Iman Aghayan +2 more
doaj +1 more source
FINANCIAMIENTO Y TAMAÑO DE LAS UNIVERSIDADES PÚBLICAS ARGENTINAS: UN ANÁLISIS DE CLUSTERING HARD Y DIFUSO [PDF]
En base a los últimos datos públicamente disponibles en la Secretaría de Políticas Universitarias respecto de la cantidad de alumnos, docentes y recursos otorgados por el Tesoro Nacional a cada una de las universidades de gestión pública de la Argentina,
Artola, María Antonia +2 more
core
ABSTRACT Autism Spectrum Disorder (ASD) is associated with gut microbiota dysbiosis, yet the contribution of specific microbial metabolic pathways remains unclear. Reanalysis of a public ASD cohort revealed reduced functional potential in microbial tryptophan oxidative metabolism.
Rui Guo +14 more
wiley +1 more source
Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis
A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu +7 more
wiley +1 more source
Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong +24 more
wiley +1 more source
A deep multiple self-supervised clustering model based on autoencoder networks
Numerous models for deep clustering have been proposed in recent times, exhibiting remarkable performance in unsupervised learning. However, they often concentrate on the features of the data itself, seldom taking into account the structure and ...
Ling Zhu, Zijin Liu, Guangyu Liu
doaj +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Clustering Data Remunerasi Dosen Untuk Penilaian Kinerja Menggunakan Fuzzy c-Means
Remunerasi dosen erat kaitannya dengan Tri Dharma Perguruan Tinggi yang meliputi tiga kriteria yaitu Pengajaran, Penelitian dan Pengabdian. Dari data tersebut akan dilakukan clustering untuk menganalisa kelompok dosen.
Putri Elfa Mas`udia +2 more
doaj +1 more source
Fuzzy Clustering Models for Gene Expression Data Analysis [PDF]
With the advent of microarray technology, it is possible to monitor gene expression of tens of thousands of genes in parallel. In order to gain useful biological knowledge, it is necessary to study the data and identify the underlying patterns, which ...
Wang, Yu
core
<h2>What's Changed</h2> <ul> <li>docs: create documentation by @omadson in https://github.com/omadson/fuzzy-c-means/pull/49</li> <li>build(deps): bump jupyter-server from 1.13.5 to 1.15.4 by @dependabot in https ...
dirk +3 more
core +1 more source

