Results 121 to 130 of about 3,082,243 (295)

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

The harmonic map heat flow from surfaces [PDF]

open access: yes
We present a study of the harmonic map heat flow of Eells and Sampson in the case that the domain manifold is a surface. Particular emphasis has been placed on the singularities which may occur, as described by Struwe, and the analysis of the flow ...
Topping, Peter
core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
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

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Harmonic Detection and Suppression Method for High-speed Maglev Trains Based on Adaline Algorithm

open access: yesChengshi guidao jiaotong yanjiu
[Objective] In order to reduce the impact of high-speed maglev harmonics on traction network, and to ensure the normal operation of high-speed maglev trains, it is necessary to study the harmonic characteristics of the high-speed maglev traction power ...
Zhongya MAO   +3 more
doaj   +1 more source

Harmonic mappings between surfaces : some local and global properties [PDF]

open access: yes
We develop some local and global properties of a harmonic map f :M -> N between surfaces. Our first main result is a local description of the possible singularities of such a harmonic map - we find there are four types: degeneracy, general fold ...
Wood, John C.
core  

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
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

An iterative, residual-based approach to unsupervised musical source separation in single-channel mixtures [PDF]

open access: yes, 2009
This thesis concentrates on a major problem within audio signal processing, the separation of source signals from musical mixtures when only a single mixture channel is available.
Siamantas, Georgios
core   +1 more source

Study of application of harmonic detection algorithm with improved unit power factor in three-phase shunt APF

open access: yesGong-kuang zidonghua, 2013
In order to reduce impact of grid voltage asymmetry or distortion on UPF harmonic detection algorithm, an improved UPF harmonic detection algorithm introducing PLL circuit was used to produce fundamental positive sequence voltage and correct active power,
LI Xiao-fan, XU Chun-yu
doaj  

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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