Results 211 to 220 of about 1,143,945 (288)
Hyperspectral non-destructive detection based on geometrical influence correction and deep learning technology: A case study on early bruise detection in fruits. [PDF]
Tao W +5 more
europepmc +1 more source
Recent progress and challenges in top‐emitting quantum dot light‐emitting diodes
This review summarizes recent advances in top‐emitting quantum‐dot light‐emitting diodes (TE‐QLEDs), including device architectures, microcavity engineering, angular‐emission management, and operational stability, highlighting optical–electrical–thermal co‐optimization as the key pathway toward reliable, high‐performance TE‐QLEDs. Abstract Top‐emitting
Chengyi Chen +6 more
wiley +1 more source
Riemannian metric learning for alignment of spatial multiomics. [PDF]
Halmos P, Xia Y, Raphael BJ.
europepmc +1 more source
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Hyperbolic Prototype-Residual Autoencoder for Interpretable Generative Latent Organization. [PDF]
Lee H, Kwak J.
europepmc +1 more source
Abstract Background Plant allometry theory developed in the last century focused on 2/3‐power scaling, determined by light interception considerations. More recently, 3/4‐power scaling based on the properties of vascular distribution networks has been proposed.
Cory Matthew +2 more
wiley +1 more source
Two‐Dimensional Heterostructures: From Controlled Synthesis to Post‐Moore Device Applications
This schematic summarizes four typical configurations of two‐dimensional (2D) heterostructures. It also demonstrates their core applications in high‐performance logic transistors, neuromorphic computing, ultra‐broadband photodetection, and multifunctional integrated devices, visually illustrating the diverse development prospects of 2D heterostructures
Jianing Xie +3 more
wiley +1 more source
Geometric and quantum kernel methods for predicting skeletal muscle outcomes in experimental chronic obstructive pulmonary disease. [PDF]
Alavi A +5 more
europepmc +1 more source
By shifting from highly variable taxonomic abundance to conserved ecological network topologies, our Dual‐Stream Graph Attention Network (DS‐GAT‐CP) resolves the “abundance paradox,” enabling highly accurate and cross‐regionally robust non‐invasive screening for Type 2 Diabetes. ABSTRACT Gut microbiome‐based machine learning models for Type 2 Diabetes (
Changjian Wu +4 more
wiley +1 more source
Geometry-Mechanics Compatibility Enables Interpretable Inverse Design of Non-Rigid Origami. [PDF]
Sun Y +5 more
europepmc +1 more source

