Results 201 to 210 of about 10,380 (295)
Linking patient records at scale with a hybrid approach combining contrastive learning and deterministic rules. [PDF]
Cao C +3 more
europepmc +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Multiple antenna performance parameters estimation of folded dipole antenna using Adaptive Neuro-Fuzzy Inference System trained with Particle Swarm Optimization. [PDF]
Haznedar B, Gençoğlan DN, Haznedar H.
europepmc +1 more source
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song +9 more
wiley +1 more source
Leveraging artificial intelligence to personalize treatment for eating disorders: A proof-of-concept study. [PDF]
Torres R +3 more
europepmc +1 more source
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi +2 more
wiley +1 more source
Data-driven fuzzy information granulation for predicting freight volume trends. [PDF]
Gao Y, Wang X, Niu M, Li J, Cai L, Li R.
europepmc +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Fault diagnosis of aero-engines using transfer dispersion entropy and dispersion patterns. [PDF]
Zhang H, Zhang Y, Liu J, Dong K.
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source

