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
High-Precision Indoor VLP Scheme Based on the Synergy of SMO Multipath Suppression and Intelligent Algorithms. [PDF]
Yang Y, Zhang J, Liu S.
europepmc +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
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 +5 more
wiley +1 more source
Anti-noise variational sparse Bayesian estimation ghost imaging based on 3Level factor graph. [PDF]
Xiang S +9 more
europepmc +1 more source
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
Physics-informed deep learning enables fast ultrahigh-resolution nuclear magnetic resonance spectroscopy. [PDF]
Bao J, Ni Y, Hu L, Zhan H.
europepmc +1 more source
An interpretable cascaded residual iterative network for sparse-view spectral CT imaging. [PDF]
Zhang X +7 more
europepmc +1 more source
Block compressive sensing-based image denoising framework using optimized sensing matrix and split Bregman algorithm. [PDF]
Thomas EN, Theeda P, Praveen T.
europepmc +1 more source
Graph-Based and Multi-Stage Constraints for Hand-Object Reconstruction. [PDF]
Wang W, Dang J, Wang Y, Yu H.
europepmc +1 more source
NeuroConText: Contrastive learning for neuroscience meta-analysis with rich text representation. [PDF]
Ghayem F +4 more
europepmc +1 more source

