Results 171 to 180 of about 792,416 (284)

Music genre classification with modified residual learning and dual neural network. [PDF]

PLoS One
Ashraf M, Abid F, Raza MO, Rasheed J, Alsubai S, Asuroglu T.   +5 more
europepmc   +1 more source

Deep residual learning for neuroimaging: An application to predict progression to Alzheimer's disease. [PDF]

J Neurosci Methods, 2020
Abrol A, Bhattarai M, Fedorov A, Du Y, Plis S, Calhoun V, Alzheimer’s Disease Neuroimaging Initiative.   +6 more
europepmc   +1 more source

A Concept of a Digital and Traceable Manufacturing Documentation Based on Formalized Process Description Applied on Composite Aircraft Moveable

Advanced Engineering Materials, EarlyView.
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker, Dominik Delisle, Christian Krombholz, Martin Rädel, Frank Dressel   +4 more
wiley   +1 more source

Image-text guided fundus vessel segmentation via attention mechanism and gated residual learning. [PDF]

Front Cell Dev Biol
Xu J, Liu Q, Shen J, Tan R, Tian S, Chi W, Yang W.   +6 more
europepmc   +1 more source

Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction. [PDF]

Comput Intell Neurosci, 2021
Wu L, Hu S, Liu C.
europepmc   +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

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Physics-informed residual learning with spatiotemporal local support for inverse ECG reconstruction. [PDF]

Sci Rep
Zhu L, Bilchick K, Xie J.
europepmc   +1 more source

Artificial Residual Noise in Machine Learning

, 2022
Innen området for digital etterforskning av lyd har det vært en viss skepsis til bruken av maskinlæringsmodeller i forbindelse med fjerning av bakgrunnsstøy. Selv om støydemping ved hjelp av maskinlæring kan gi både effektivitet og hjelpe til med å håndtere mengden data som en etterforsker vil stå overfor, har det ikke blitt tatt i bruk som en ...
openaire   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source