Results 71 to 80 of about 22,177,297 (251)
Advanced Engineering Materials, EarlyView.The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Fuzzy Unsupervised Artificial Learning Based on Credibilistic Fuzzy C-Means
InPrimeThis study proposes an unsupervised artificial learning approach based on the Credibilistic Fuzzy C-Means (CFCM) algorithm to enhance the governance and analysis of oil production data.
Kangiama Lwangi Richard +4 more
doaj +1 more source
KLASTERING INDUSTRI DI KABUPATEN KUDUS MENGGUNAKAN METODE FUZZY C-MEANS
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2016 Penelitian ini menggunakan metode klastering Fuzzy C Means, yang digunakan untuk klastering industri di Kabupaten Kudus, teori ini merupakan penggunaan dari teori klastering Fuzzy C Means. Klastering industri di kabupaten Kudus dilaksanakan sebagai upaya
Pratomo Setiaji, Wiwit Agus Triyanto
doaj +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Performance of Clustering on ANFIS for Weather Forecasting
CommIT Journal, 2018 This paper proposes the comparison of using K-Means and Fuzzy C-Means (FCM) to optimize the premise parameters on Adaptive Neuro-Fuzzy Inference System (ANFIS) for weather forecasting.
Candra Dewi
doaj +1 more source
Conditional semi‐fuzzy c‐means clustering for imbalanced dataset
IET Image Processing, 2020 Fuzzy c‐means algorithms have been widely utilised in several areas such as image segmentation, pattern recognition and data mining. However, the related studies showed the limitations in facing imbalanced datasets. The maximum fuzzy boundary tends to be
Yunlong Gao +4 more
doaj +1 more source
<h1>v1.7.1 (2024-03-18)</h1> <h2>Build</h2> <ul> <li><p>build: change publish pipeline. (<a href="https://github.com/omadson/fuzzy-c-means/commit/2ec42554b1b444d96055b730743488a20c84c774"><code> ...
dirk +3 more
core +1 more source
Symmetry incorporated Fuzzy C-means Method for Image Segmentation [PDF]
, 2013 This paper presents a new modified fuzzy c-means (FCM) clustering algorithm that exploits bilateral symmetry information in image data. With the assumption of pixels that are located symmetrically tend to have similar intensity values; we compute the ...
Jayasuriya, Surani +4 more
core +1 more source
Optical Signature of Moiré Superlattices Formed by Twisted SrTiO3 Membranes
Advanced Functional Materials, EarlyView.We discover optical signatures from bonded interfaces in twisted SrTiO3 moiré superlattices, including low‐frequency Raman vibrational modes and strong second‐harmonic generation, consistent with strong interlayer coupling inferred from cross‐sectional electron microscopy and ab initio calculations. ABSTRACT Moiré superlattices formed at the interfaces
T. A. M. Ragib Shahriar +13 more
wiley +1 more source