Results 31 to 40 of about 51,940 (240)

Enhancing Fuzzy C-Means Clustering with a Novel Standard Deviation Weighted Distance Measure

مجلة بغداد للعلوم
The aim of this paper is to present a new approach to address the Fuzzy C Mean algorithm, which is considered one of the most important and famous algorithms that addressed the phenomenon of uncertainty in forming clusters according to the overlap ratios.
Ahmed Husham Mohammed, Marwan Abdul Hameed Ashour   +1 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Production Task Queue Optimization Based on Multi-Attribute Evaluation for Complex Product Assembly Workshop. [PDF]

PLoS ONE, 2015
The production task queue has a great significance for manufacturing resource allocation and scheduling decision. Man-made qualitative queue optimization method has a poor effect and makes the application difficult.
Lian-Hui Li, Rong Mo
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Improved quantum clustering analysis based on the weighted distance and its application

Heliyon, 2018
Cluster analysis is widely used in fields such as economics, management and engineering. The distance and correlation are two of the most important and often used mathematics- and statistics-based similarity measures in cluster analysis.
Fan Decheng, Song Jon, Cholho Pang, Wang Dong, CholJin Won   +4 more
doaj   +1 more source

Heritage Debris Splicing Algorithm Based on Contour Line Two-way Distance Field [PDF]

Jisuanji gongcheng, 2018
In the automatic reassembly of cultural fragments,because of the loss of the geometric characteristics caused by the damage of the fractured faces,an automatic reassembly algorithm based on the two-way distance field of the break-curves is proposed ...
YUAN Jie,ZHOU Mingquan,GENG Guohua,ZHANG Yuhe
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Feature Selection Combining Artificial Bee Colony with [K-means] Clustering [PDF]

Jisuanji kexue yu tansuo
K-means clustering is a simple and efficient, fast in convergence and easy to implement statistical analysis method. However, the traditional [K-means] clustering algorithm is sensitive to the selection of initial clustering centers and easy to fall into
SUN Lin, LIU Menghan, XUE Zhan’ao
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Novel complex fuzzy distance measures with hesitance values and their applications in complex decision-making problems

Scientific Reports
A complex fuzzy distance measure (CFDMs) plays a significant role in applications involving complex or high-dimensional data where traditional distance measures may not adequately capture the nuances of the data relationships.
Madad Khan, Safi Ullah, Muhammad Zeeshan, Ramsha Shafqat, Imen Kebaili, Tola Bekene Bedada, Saima Anis   +6 more
doaj   +1 more source