Results 241 to 250 of about 2,204,167 (303)
Inferring fungal cis-regulatory networks from genome sequences via unsupervised and interpretable representation learning. [PDF]
Moses AM +3 more
europepmc +1 more source
A miniaturized mechano‐acoustic sensor is developed using an electrospun PVDF nanomesh as the diaphragm in a capacitive sensor structure. Unlike conventional nanomesh‐based sensors, it achieves high linear sensitivity, a broad and flat frequency response, and a compact form factor.
Jeng‐Hun Lee +8 more
wiley +1 more source
Enhancing dementia and cognitive decline detection with large language models and speech representation learning. [PDF]
Chlasta K, Struzik P, Wójcik GM.
europepmc +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Hybrid local-global representation learning with stochastic Gaussian classification for underwater acoustic target recognition. [PDF]
Yang C +7 more
europepmc +1 more source
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Domain-Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging. [PDF]
Lee S, Pham TH, Cheng Z, Zhang P.
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Multimodal physiological signal emotion recognition based on multi-head cross attention with representation learning. [PDF]
Ding S, Ma L, Li H.
europepmc +1 more source

