Editorial: Embodied neuromorphic AI for robotic perception. [PDF]
Dias J, Zayer F, Molinara M.
europepmc +1 more source
A Deep Model Framework for Morphological Trait Imputation Across Taxonomic Groups
The model first applies a correlation‐based feature selection module to filter redundant predictors, enhancing stability and interpretability. ABSTRACT Incomplete morphological trait data pose major hurdles for trait‐based analyses, particularly when missing values, multicollinearity, and sparse sampling constrain inference.
Yuang Wang +11 more
wiley +1 more source
Fully Differentiable dMRI Streamline Propagation in PyTorch. [PDF]
Yoon J +6 more
europepmc +1 more source
Using multilabel classification neural network to detect intersectional DIF with small sample sizes
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley +1 more source
Clinically significant prostate cancer detection with deep learning in a multi-center magnetic resonance imaging study. [PDF]
Alzate-Grisales JA +9 more
europepmc +1 more source
Model fit and parameter uncertainty in amortized variational inference based item response theory
Abstract Amortized variational inference (AVI) has become a popular, computationally efficient alternative to marginal maximum likelihood estimation (MML) for estimating high‐dimensional item response theory models on large datasets. However, currently the AVI framework lacks methods to assess model fit and determine parameter uncertainty.
K. Veldkamp +3 more
wiley +1 more source
Research on Temperature Compensation Technology for a Flexible Capacitive Pressure Sensing System. [PDF]
Zheng J, Chen S, Xia Z.
europepmc +1 more source
A Texture‐Free Multi‐Scale Model for Surface‐Based Rendering of Knitted Fabrics
Abstract Knitted fabrics present unique challenges for realistic rendering due to their complicated structure and scale‐dependent appearance. Existing methods typically rely on explicit yarn geometry, which is computationally complex, or texture‐based representations that require heavy storage and precomputed maps. In this paper, we introduce the first
Apoorv Khattar +3 more
wiley +1 more source
Numerical analysis of MHD Jeffrey hybrid nanofluid flow over a solar curved sheet using ANN model. [PDF]
Reddisekhar Reddy SR +5 more
europepmc +1 more source
High‐Gloss SVBRDF Capture Using Bounce Light
Abstract Reflectance capture aims at the visual reproduction of an object under varying illumination. Past works differ substantially in their experimental overhead, from single‐ or few‐image approaches, that employ significant (often learned) priors at the expense of biased reconstructions, to more accurate approaches that tend to be time‐consuming ...
Tomáš Iser +2 more
wiley +1 more source

