Results 201 to 210 of about 2,098,128 (254)
Realistic PET image synthesis from MRI for automated inference of brain atrophy and Alzheimer's. [PDF]
Theodorou B +5 more
europepmc +1 more source
Perovskite/silicon tandem solar cells exhibit outstanding efficiencies; however, the development of scalable and high‐throughput manufacturing processes remains a critical challenge. Here, we demonstrate accelerated deposition of multiple functional layers via high‐rate thermal evaporation without compromising film quality or device performance.
Bhushan P. Kore +5 more
wiley +1 more source
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Adaptive filtering method for reducing signal saturation induced artifacts in X-ray dark-field tomography. [PDF]
Mäkinen H, Suhonen H, Huotari S.
europepmc +1 more source
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
LG-RSD: local-global region self-distillation for robust SAR ship detection. [PDF]
Jing Z, Yan Z.
europepmc +1 more source
FluoAI is a two‐stage, label‐free method for quantifying nanomaterial‐induced cytotoxicity from conventional fluorescence microscopy images. Mask R‐CNN segmentation and DenseNet‐121 classification provide rapid live/dead classification matching human accuracy.
Ugur C. Topkiran +6 more
wiley +1 more source
EQISP: efficient quantized image signal processing with multi-scale pyramid fusion for resource constrained embodied perception. [PDF]
Yang T +5 more
europepmc +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Enhancing deep learning-based dental caries detection through feature pyramid network-based image segmentation. [PDF]
Fitria M +5 more
europepmc +1 more source

