Results 181 to 190 of about 397,119 (307)

Polygon generation and video-to-video translation for time-series prediction. [PDF]

J Intell Manuf, 2023
Elhefnawy M, Ragab A, Ouali MS.
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

The <i>Drosophila</i> Connectome as a Computational Reservoir for Time-Series Prediction. [PDF]

Biomimetics (Basel)
Costi L, Hadjiivanov A, Dold D, Hale ZF, Izzo D.   +4 more
europepmc   +1 more source

Reservoir Dynamic Interpretability for Time Series Prediction: A Permutation Entropy View. [PDF]

Entropy (Basel), 2022
Sun X, Hao M, Wang Y, Wang Y, Li Z, Li Y.   +5 more
europepmc   +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

Multi-scale time series prediction model based on deep learning and its application. [PDF]

PLoS One
Yang Z, Zhang J, Li Z.
europepmc   +1 more source

Time-series prediction and detection of potential pathogens in bloodstream infection using mcfDNA sequencing. [PDF]

Front Cell Infect Microbiol, 2023
Cao Y, Jiang T, Lin Y, Fang X, Ding P, Song H, Li P, Li Y.   +7 more
europepmc   +1 more source

Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance

, 2022
Sergio Martínez-Agüero, Cristina Soguero-Ruíz, José M. Alonso, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio G. Marqués   +5 more
openalex   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

Deep learning-based time series prediction in multispectral and hyperspectral imaging for cancer detection. [PDF]

Front Med (Lausanne)
Hao L, Wang C, Che J, Sun M, Wang Y.
europepmc   +1 more source