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
Rapid Detection and Diagnosis of Patients with Plantar Fasciitis Based on Integrated YOLOv12n and ResNet34 Framework Using Magnetic Resonance Imaging. [PDF]
Du X +5 more
europepmc +1 more source
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
Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks. [PDF]
Zhou W, Zhang W, Sun S, Zhang Y.
europepmc +1 more source
Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis, vol II. [PDF]
Ke H, Cai C, Yao L, Chen D.
europepmc +1 more source
Distributed decision-making in a shared power network: a game-theoretic framework for integrated electricity and gas systems. [PDF]
Huang J, Yu T, Pan Z, Wu Y.
europepmc +1 more source
An integrated framework for proactive deepfake mitigation via attention-driven watermarking and blockchain-based authenticity verification. [PDF]
Hajjej F, Hamid M, Alluhaidan AS.
europepmc +1 more source
Metaoptics merging computational optics and optical computing toward intelligent visual perception. [PDF]
Hu Y, Chi H, Duan H.
europepmc +1 more source

