Results 121 to 130 of about 7,580 (169)

Multi-method validation of the new computerized test of fluid intelligence MatriKS. [PDF]

Behav Res Methods
de Chiusole D, Epifania OM, Anselmi P, Brancaccio A, Mazzoni N, Spinoso M, Orsoni M, Giovagnoli S, Pierluigi I, Bacherini A, Benassi M, Balboni G, Stefanutti L.   +12 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Unitary matrices and random permutations : conjecture and degenerated Laplacian (Functions in Number Theory and Their Probabilistic Aspects)

Unitary matrices and random permutations : conjecture and degenerated Laplacian (Functions in Number Theory and Their Probabilistic Aspects)
openaire  

Spatial and Sequential Organization of Gaze During Facial Expression Recognition Tasks. [PDF]

Behav Sci (Basel)
Santis A, Toto GA, Peconio G, D'Amico L, Limone P.   +4 more
europepmc   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

Decoding basal ganglia motor circuit dysfunction from handwriting: a physics-informed neural signal interpretation framework for Parkinson's disease screening. [PDF]

Front Neuroinform
Batri K, Lakshmi S, Khan S, Iqbal Z, Alhefdi M, Atteia G, Murugan S.   +6 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

PID Control for Uncertain Systems with Integral Measurements and DoS Attacks Using a Binary Encoding Scheme. [PDF]

Entropy (Basel)
Hou N, Wu Y, Gao H, Hu Z, Bu X.
europepmc   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source