Results 211 to 220 of about 437,604 (285)
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
A Hyperbolic Sum Rule for Probability: Solving Recursive ("Chicken and Egg") Problems. [PDF]
Parker MC, Jeynes C, Walker SD.
europepmc +1 more source
Algorithmic Properties of Relatively Hyperbolic Groups
Donovan Yves Rebbechi
openalex +2 more sources
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Role of Lignin in Hot-Pressing of Paper: Insights from Molecular Simulations and Experiments. [PDF]
Elf P +10 more
europepmc +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
High genus surface parameterization using the Euclidean Ricci flow method. [PDF]
Wang YG.
europepmc +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Cerebral capillary oxygen diffusion: exploring the concept of intracapillary hemoglobin conformational changes. [PDF]
Harutyunyan G +6 more
europepmc +1 more source

