Results 271 to 280 of about 493,705 (320)

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Truncated Transfer Matrix-Based Regularization for Impact Force Localization and Reconstruction. [PDF]

Sensors (Basel)
Zhang B, Zhu X, Li J.
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Interpretable nonconvex submodule clustering algorithm using ℓr-induced tensor nuclear norm and ℓ2,p column sparse norm with global convergence guarantees. [PDF]

PLoS One
Yang M, Han S, Chen L, Wang J.
europepmc   +1 more source

Practical Large-Scale Optimization for Max-norm Regularization

, 2010
Jason D. Lee, Ben Recht, Nathan Srebro, Joel A. Tropp, Ruslan Salakhutdinov   +4 more
openalex   +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

CoreFormer high fidelity pulmonary nodule segmentation with structural core priors and geodesic implicit fields. [PDF]

NPJ Digit Med
Xi Y, Xu C, Ye F, Yuan M, Ye C, Jiang L, Huang Y, Zhang J, Liu M, Liu X, Yu B.   +10 more
europepmc   +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

Explainable AI-driven MRI-based brain tumor classification: a novel deep learning approach. [PDF]

Front Artif Intell
Srinivas VR, Parvathi R.
europepmc   +1 more source

Regularized quantile-based fuzzy regression with lasso penalty

Gholamreza Hesamian, Faezeh Torkian, Arne Johannssen   +2 more
openalex   +1 more source