Results 161 to 170 of about 88,117 (315)
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
Creation of Interpretable Summary Measures in Displaying Results from Mixed-effects Logit Models. [PDF]
J Biom Biostat, 2016 Liu X, Belsher BE, Evatt DP.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Fishing for Understanding: A Mixed Logit Model of Freshwater Angler Preferences
Freshwater fisheries management requires knowledge of not only the resource but angler preferences and the extent to which preferences vary. This paper reports results from an internet-based stated preference survey of anglers in the North Canterbury ...
Kerr, Geoffrey N., Beville, Stephen
core
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 +5 more
wiley +1 more source
Generalized additive logit models for clinical prediction. [PDF]
Blood AdvMcIntosh CN.
europepmc +1 more source
A Micro- Foundation for Non-Deterministic Contests of the Logit Form [PDF]
In models of non-deterministic contest, players exert irreversible effort in order to increase their probability of winning a prize. The most prominent functional form of the win probability in the literature is the so-called “logit” contest success ...
Matthias Dahm, Nicolas Porteiro
core
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
Advanced Intelligent Systems, EarlyView.An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Corrigendum: Investigating the influencing factors of vaccination decisions for newly-developed and established vaccines: a comparative study based on latent class logit models in China. [PDF]
Front Public HealthChang S, Xu B, Xi H, Shao Y.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source