Results 231 to 240 of about 49,465 (346)

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

Improving the Dung Beetle Optimizer with Multiple Strategies: An Application to Complex Engineering Problems. [PDF]

Biomimetics (Basel)
Lv W, He Y, Yang Y, Ma X, Chen J, Zhang Y.   +5 more
europepmc   +1 more source

A Comprehensive Survey of Oracle Character Recognition: Challenges, Benchmarks, and Beyond

Jing Li, Xueke Chi, Qiufeng Wang, Kaizhu Huang, Da-Han Wang, Yongge Liu, Cheng‐Lin Liu   +6 more
openalex   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
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

Enhancing Preclinical Training for Removable Partial Dentures Through Participatory 3D Simulation: Development and Usability Study.

JMIR Med Educ
Siu Y, Bai H, Yoon JM, Ye H, Liu Y, Zhou Y.   +5 more
europepmc   +1 more source

Cultural innovation driven nonlinear impact: New quality productivity and cultural consumption's high-carbon trap. [PDF]

iScience
Wen J.
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

A survey of contrastive learning methods in molecular representation. [PDF]

Brief Bioinform
Forooghi A, Sadeghi S, Rueda L, Ngom A.
europepmc   +1 more source

Visualising urban social change, Bruges 1300-1700 [PDF]

, 2017
Deneweth, Heidi, Leloup, Ward, Speecke, Mathijs   +2 more
core   +1 more source