Results 161 to 170 of about 494,383 (263)

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Vulnerability and risk assessment of the coexistence of oil and fishing industries in the Southern Gulf of Mexico. [PDF]

Environ Monit Assess
Cuevas E, Espinoza-Tenorio A, Díaz-Gutiérrez G, Lara-Mendoza RE, Cavieses-Núñez R, Trujillo-Córdova JA, Cruz-Pech JB, Cupido-Santamaría DG, Peña-Mis G, Ramos-Muñoz DR, Uribe-Martínez A.   +10 more
europepmc   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

Advanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev, Noah‐Lean Roschlaub, Anne Jung   +2 more
wiley   +1 more source

A masked generative graph representation learning framework empowering precise spatial domain identification. [PDF]

Bioinformatics
Wang C, Zhang T, Sun H, Wu Z, Liang S, Wang X, Du M, Liang Y, Gao X, Tang Q, Xu D, Feng X, Zeng A, Guan R.   +13 more
europepmc   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Metaverse-Based Virtual Reality for Remote Anatomy Education: Pilot Randomized Controlled Trial. [PDF]

JMIR Form Res
Ha J, Gan A, Mahmood A, Salih A, Ukpeh P, Yong C, Prasad A, Rastogi A, Martin E, Mulchandani S, Krishnan K, Fernandez NS, Gupta K, Chang F, Gullapalli S, Abdalla L, Kafienah M, Dhanda J.   +17 more
europepmc   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

LLM-Reflex-GeoKG: A reflexion-enhanced LLM framework for automated geographic knowledge graph construction. [PDF]

PLoS One
Wei Z, Chen G, Xu Y, Yang X, Cao M, Liao M.   +5 more
europepmc   +1 more source

A Spatial Knowledge Economy

, 2012
Donald Davis, Jonathan Dingel
openaire   +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