Numerical analysis of magnetohydrodynamics Casson nanofluid flow with activation energy, Hall current and thermal radiation. [PDF]
Suresh Kumar Y +6 more
europepmc +1 more source
'LABLIB' - Everyman's Tool to Find Suitable Language Teaching Materials [PDF]
Kari, Kimmo, Lindqvist, Pirkko
core +2 more sources
Screw‐Based Pill for Intelligent Robotic Extraction of Viscous Fluids in Medical Applications
Screw‐based pill for intelligent robotic extraction (S‐PIRE) is a magnetically actuated smart capsule with a motorized screw, 3‐axis sensor, and Bluetooth control for site‐specific and minimally invasive remote sampling of viscous fluids, overcoming passive diffusion limitations.
Prima Dewi Sinawang +6 more
wiley +1 more source
Research on Loosening Fault Diagnosis Method of Escalator Drive Mainframe Anchor Bolts Based on Improved High-Strength Denoising RCDAE Model. [PDF]
Chen D +7 more
europepmc +1 more source
The varied careers of Kenneth L. Bowles. [PDF]
Morgan MG, Overgaard M, Bowles AE.
europepmc +1 more source
Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang +6 more
wiley +1 more source
Enabling decision-making and innovation in learning health systems through simulation modelling. [PDF]
Lessard L, Sauré A.
europepmc +1 more source
Using technology-enabled social prescriptions to disrupt healthcare. [PDF]
Jungmann S +4 more
europepmc +1 more source
Changes in BMI and physical activity from youth to adulthood distinguish normal-weight, metabolically obese adults from those who remain healthy. [PDF]
Viitasalo A +6 more
europepmc +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source

