Results 221 to 230 of about 255,246 (314)

Developing a comprehensive database and search tool for single-cell ATAC-seq data. [PDF]

Sci Rep
Gibson-Khademi A, Wang J, Christensen E, Shooshtari P.   +3 more
europepmc   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

On the degrees of freedom of gridded control points in learning-based medical image registration. [PDF]

Med Phys
Yan W, Yang Q, Wang Y, Punwani S, Emberton M, Stavrinides V, Hu Y, Barratt D.   +7 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

HBID24K: A New Benchmark Dataset for Vulnerable Houbara Bustard and Intruder Detection in Wildlife Monitoring. [PDF]

Sci Data
Ali SS, Ali SD, Javed S, Mudigansalage S, Hussain I, Lucas C, Dieuleveut T, Sorato E, Werghi N.   +8 more
europepmc   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

NeuroConText: Contrastive learning for neuroscience meta-analysis with rich text representation. [PDF]

Imaging Neurosci (Camb)
Ghayem F, Meudec R, Dockès J, Thirion B, Wassermann D.   +4 more
europepmc   +1 more source

Dataset for Spatial Modulation Aided Sparse Code-Division Multiple Access

, 2017
Yusha Liu, Lie‐Liang Yang, Lajos Hanzo
openalex   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data via deep learning. [PDF]

Sci Data
Ma Z, Yang Q, Xu Y, Shi W, Dong X, Shi Q, Luo H, Liu J, Uotila P, Nie Y.   +9 more
europepmc   +1 more source