Results 261 to 270 of about 7,883,935 (303)

EEG-DBNet: a dual-branch framework for temporal-spectral representation learning of motor imagery electroencephalography. [PDF]

Brain Inform
Qu Y, Lou X, Meng H, Li Z, Wang J, Mao K, Li X.   +6 more
europepmc   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

Advanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin, Émeline Cournède, Jens Krarup, Michael Lesa, Foyzul Hasan, Amandine Séné, Arnaud Lahouati, David Benhaiem, Jérémie‐Luc Sanchez, Simon Delacroix, Thierry Gacoin, Fabienne Testard, Damien Faivre, David Carriere, Corinne Chevallard, Olivier Taché, Mark A. Levenstein   +16 more
wiley   +1 more source

Joint representation learning for oncology applications. [PDF]

Bioinformatics
Nandan T, Fan B, Håkansson S, Jutzeler CR, Brüningk SC.   +4 more
europepmc   +1 more source

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

Multisource Port Inspection Sensor Fusion with Causal Representation Learning for Cross-Border Anomaly Monitoring. [PDF]

Sensors (Basel)
Yin J, Lu Z, Xiong B, Sun K, Liu R, Liu Y, Li M.   +6 more
europepmc   +1 more source

Multilabel prediction of virus target proteins via multimodal graph representation learning. [PDF]

PLoS Comput Biol
Ma K, Liu K, Xin Y, Liu R.
europepmc   +1 more source

Spatially multimodal and multiscale network for representation learning from spatial multi-omics. [PDF]

BMC Genomics
Zhang F, Peng C.
europepmc   +1 more source

PathTIGR: A pathway topology-informed graph representation learning framework for immunotherapy response prediction. [PDF]

Sci Adv
Li X, He Y, Wu J, Wang Z, Zhao X, Zhang Y, Pan B, Tang Y, Han J, Han J.   +9 more
europepmc   +1 more source

Self-supervised representation learning reveals explainable physiological structure in high-dimensional magnetocardiography. [PDF]

NPJ Digit Med
Kranz DD, Kahriman O, Dischl D, Treskatsch S, Sander A, Brachmann J, Park JW, Wessel N.   +7 more
europepmc   +1 more source

Robust nasality representation learning for cleft palate-related velopharyngeal dysfunction screening in real-world settings. [PDF]

Front Digit Health
Liu W, Qu B, Stone A, Powell M, Dufresne S, Braun S, Galdyn I, Golinko M, Malin B, Yin Z, Pontell ME.   +10 more
europepmc   +1 more source