Results 81 to 90 of about 2,575,815 (286)
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Embedding the V-Detector Algorithm in FPGA
The b-v model is a hybrid immune-based approach for detecting anomalies in high-dimensional datasets. It is based on a negative selection algorithm and utilizes both types of detectors to achieve better results in comparison to single detection models.
Maciej Brzozowski, Andrzej Chmielewski
openaire +2 more sources
Wireless virtual network embedding algorithm based on link reliability [PDF]
According to the problem of the poor reliability of wireless network links affectting wireless virtual network embedding,a wireless virtual network embedding algorithm based on link reliability named WVNEA-LR was proposed.This algorithm through the ...
Chuan-chuan LIU, Ren-fa LI, Juan LUO
core +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Non-Negative Low Rank Graph Embedding Algorithm
The existing non-negative matrix factorization (NMF) algorithms still have some shortcomings. On one hand, the NMF method calculates its low-dimensional representation directly on the high-dimensional original image data set, but in fact the effective ...
LIU Guoqing, LU Guifu, ZHOU Sheng, XUAN Dongdong, CAO Along
doaj +1 more source
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 +6 more
wiley +1 more source
Service function chain embedding algorithm with wireless multicast in mobile edge computing network
To resolve the excessive system overhead and serious traffic congestion in user-oriented service function chain (SFC) embedding in mobile edge computing (MEC) networks,a content-oriented joint wireless multicast and SFC embedding algorithm was proposed ...
Kan WANG +3 more
doaj +2 more sources
Numerical algorithms for detecting embedded components
We produce algorithms to detect whether a complex affine variety computed and presented numerically by the machinery of numerical algebraic geometry corresponds to an associated component of a polynomial ideal.
Robert Krone, Anton Leykin
openaire +2 more sources

