Results 161 to 170 of about 939,024 (297)
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Enhanced strain gradient in structural wood for high flexoelectricity. [PDF]
Gao Y +8 more
europepmc +1 more source
Retrieving Information from Compressed XML Documents According to Vague Queries [PDF]
XML has become the standard way for representing and transforming data over the World Wide Web. The problem with XML documents is that they have a very high ratio of redundancy, which makes these documents demanding large storage capacity and high ...
AlHamadani, Baydaa
core
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Non-Melanocytic Histopathological Clues for Melanoma Diagnosis: A Practical Review of Solar Elastosis, Stromal Regression, and Epidermal Reaction Patterns. Do Old-School Clues Still Matter? [PDF]
Sofopoulos M.
europepmc +1 more source
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Densification and Mechanical Enhancement of Invasive South African Hardwoods: <i>Prosopis glandulosa</i> and <i>Acacia mearnsii</i>. [PDF]
Naghizadeh M +4 more
europepmc +1 more source
Studies on the compression wood
openaire +1 more source
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source

