Results 161 to 170 of about 3,865,632 (281)
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu +2 more
wiley +1 more source
Comparative evaluation of score criteria for dynamic Bayesian Network structure learning. [PDF]
Yaman A, Cengiz MA.
europepmc +1 more source
Regression-Based Bayesian Estimation and Structure Learning for Nonparanormal Graphical Models. [PDF]
Mulgrave JJ, Ghosal S.
europepmc +1 more source
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Bayesian network structure learning by opposition-based learning. [PDF]
Sun B, Zhang X, Jiang J, Gong J, Lin D.
europepmc +1 more source
Knowledge-based and data-driven underground pressure forecasting based on graph structure learning. [PDF]
Wang Y +6 more
europepmc +1 more source
Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow +9 more
wiley +1 more source
Efficient structure learning of gene regulatory networks with Bayesian active learning. [PDF]
Sándor D, Antal P.
europepmc +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
TAN-FGBMLE: Tree-Augmented Naive Bayes Structure Learning Based on Fast Generative Bootstrap Maximum Likelihood Estimation for Continuous-Variable Classification. [PDF]
Wei C, Zhang T, Li C, Wang P, Ye Z.
europepmc +1 more source

