Results 61 to 70 of about 22,177,297 (251)

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Electrical fuzzy C-means: A new heuristic fuzzy clustering algorithm

Cogent Engineering, 2016
Many heuristic and meta-heuristic algorithms have been successfully applied in the literature to solve the clustering problems. The algorithms have been created for partitioning and classifying a set of data because of two main purposes: at first, for ...
Esmaeil Mehdizadeh, Amir Golabzaei
doaj   +1 more source

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, Rosmasari Rosmasari, Stefanie Stefanie   +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  

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

A Novel Linguistic Relational Fuzzy C-Means

IEEE Access
In 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, Sansanee Auephanwiriyakul, Nipon Theera-Umpon   +2 more
doaj   +1 more source

General fuzzy min-max neural network for clustering and classification [PDF]

, 2000
This paper describes a general fuzzy min-max (GFMM) neural network which is a generalization and extension of the fuzzy min-max clustering and classification algorithms of Simpson (1992, 1993).
Gabrys, Bogdan, Bargiela, Andrzej
core   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

omadson/fuzzy-c-means: v1.7.0

<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, David Nicholson, Madson Dias, Alberth Florêncio   +3 more
core   +1 more source

An Efficient Fuzzy Possibilistic C-Means with Penalized and Compensated Constraints [PDF]

, 2011
Improvement in sensing and storage devices and impressive growth in applications such as Internet search, digital imaging, and video surveillance have generated many high-volume, high-dimensional data.
Dr. D.Vanisri, C.Loganathan
core