Results 61 to 70 of about 23,287,312 (305)
Priority Road Restoration Classification Using Fuzzy C-Means: A Case Study In Samarinda City
Jurnal Teknologi dan Sistem Komputer, 2017 One of the factors traffic accidents is caused by a damaged road. Therefore, road improvements based on the priorities scale is indispensable. This study implements the Fuzzy C-means method.
Novianti Puspitasari +2 more
doaj +1 more source
Segmentasi pasar produk mie cepat saji menggunakan fuzzy c-Means [PDF]
, 2006 Data yang digunakan dalam penelitian ini yaitu data sekunder yang diperoleh dari data penelitian mahasiswa Departemen Agrobisnis Fakultas Pertanian IPB dengan judul penelitian Pola Konsumsi dan Preferensi Mie Konsumen Rumah Tangga di Jakarta Timur.
Daulay, Aisyah Marlian
core
Quality Management in Chemical Processes Through Fuzzy Analysis: A Fuzzy C-Means and Predictive Models Approach [PDF]
Ensuring high levels of quality and efficiency is essential for compliance with ISO standards in chemical manufacturing. Traditional methods, such as Statistical Process Control (SPC) and Six Sigma, often lack adaptability and fail to offer interpretable
Gabriel Marín Díaz +1 more
core +1 more source
Modifikasi Metode Fuzzy C-Means untuk Klasifikasi Citra Daun Padi [PDF]
, 2023 Metode Fuzzy C-means merupakan algoritma pembelajaran tidak terawasi yang menggunakan derajat keanggotaan untuk menentukan cluster tiap-tiap titik data.
Wibowo, Adi +5 more
core +1 more source
XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion
Advanced Functional Materials, EarlyView.Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei +4 more
wiley +1 more source
A Novel Linguistic Relational Fuzzy C-Means
IEEE AccessIn real-world applications, sometimes there are uncertainties in the data sets whether from the collection process or from the natural languages. Moreover, the data may come in the form of fuzzy relation.
Peerawich Phaknonkul +2 more
doaj +1 more source
A Fuzzy C-Means Algorithm for Fingerprint Segmentation [PDF]
, 2015 Fingerprint segmentation is a crucial step of an automatic fingerprint identification system, since an accurate segmentation promote both the elimination of spurious minutiae close to the foreground boundaries and the reduction of the computation time of the following steps.
Pedro M. Ferreira 0002 +2 more
openaire +2 more sources
<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
Advanced Functional Materials, EarlyView.Here, we establish a low‐dose liquid‐phase electron microscopy workflow for real‐time observation of biological processes in hydrated conditions. Beam damage is reduced by imaging only 20% of the pixels and reconstructing the complete image using an inpainting algorithm.
Luco Rutten +7 more
wiley +1 more source
Fuzzy C-means algorithm based on common mahalanobis distances [PDF]
, 2010 [[abstract]]Some of the well-known fuzzy clustering algorithms are based on Euclidean distance function, which can only be used to detect spherical structural clusters.
Liu, Hsiang-Chuan (1); Yih, Jeng-Ming (2); Lin, Wen-Chih (3); Wu, Der-Bang (2)
core +1 more source