Results 221 to 230 of about 15,714,929 (285)

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Intelligent Condition Monitoring of High-Formwork Support Systems: A Hybrid FEM-Deep Learning Approach with Large Language Model Integration. [PDF]

Sci Prog
Zhao L, Mbachu J, Liu L, Zhang R.
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Beyond Design: Ergonomic Numerical Evaluation of a Biomimetic Breast Prosthesis for Daily Use. [PDF]

Biomimetics (Basel)
Rangel FJH, Figueroa MAC, Castuera JC, Rocha JEM, Terrones Gurrola MCDR, Alcantar PC.   +5 more
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Fixed-Position Quasi-Static Load Calibration and Identification of an Aluminum Wing-Box Test Section Using Surface-Bonded Fiber Bragg Grating Sensors. [PDF]

Sensors (Basel)
Fan Z, Bao R, Sun J, Song H.
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

A Novel Decomposition-Based Growth Model for Simulating Stress-Modulated Spinal Growth. [PDF]

Int J Numer Method Biomed Eng
Çakmak SO, Gürses E.
europepmc   +1 more source

Optimizing fatigue resistance and lifetime of MEMS scanning mirrors with a novel coupled parameter distribution structural framework. [PDF]

Microsyst Nanoeng
Liu S, Zhang G, Zhang Z, You Z.
europepmc   +1 more source

From Joint Loading to Osteoarthritis: A Multiscale Review of Knee Mechanobiology and Digital Modelling. [PDF]

Int J Mol Sci
Stańczak M, Kacprzak B, Hagner-Derengowska M.   +2 more
europepmc   +1 more source