Results 131 to 140 of about 3,970,343 (282)
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Advanced Intelligent Discovery, EarlyView.Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features
Advanced Intelligent Discovery, EarlyView.Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar +3 more
wiley +1 more source
Geomatics, Natural Hazards & Risk, 2016 Landslides are one of the major natural disasters that are frequently occurring in southwestern China. The main objective of this study is to investigate the relationship between failure of landslide and fractal dimension using displacement time-series ...
W. Y. Xu +3 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
A fractal dimension estimate for a graph-directed IFS of non-similarities [PDF]
, 2022 Gerald A. Edgar, Jeffrey Golds
openalex +1 more source
Advanced Intelligent Systems, EarlyView.Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo +5 more
wiley +1 more source
Detection of the Cardiac Function by Fractal Dimension Analysis [PDF]
, 1999 Tomoyuki Yambe +10 more
openalex +1 more source
Eigenvalues and Eigenfunctions of One-Dimensional Fractal Laplacians [PDF]
, 2023 Wei Tang, Jia Guo
openalex +1 more source