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Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
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

An innovative meshless approach for solving 2D Allen-Cahn equations using the RBF-compact finite difference method. [PDF]

Sci Rep
Fardi M, Azarnavid B, Emami H.
europepmc +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source

A novel spectral transformation technique based on special functions for improved chest X-ray image classification. [PDF]

PLoS One
Aljohani A.
europepmc +1 more source

Some Difference Relations for Orthogonal Polynomials of a Continuous Variable in the Askey Scheme [PDF]

Odake, Satoru
openalex

The wavefront set: bounds for the Langlands parameter. [PDF]

Math Ann
Ciubotaru D, Kim JL.
europepmc +1 more source

Uncovering the molecular details of the 14-3-3 recruitment by mutant Sod1 species. [PDF]