Results 181 to 190 of about 38,453 (306)
ABSTRACT Accurate predictions of carbon prices are essential for efficient administration and stable operation of carbon markets. Previous studies have mostly focused on point or interval predictions based on point‐valued data. These approaches insufficiently capture the full extent of market volatility.
Di Sha +4 more
wiley +1 more source
ABSTRACT Purpose This study aims to develop an automated framework for operator‐independent assessment of cardiac ventricular function from highly accelerated images. Methods We introduce a deep learning framework that generates reliable ventricular volumetric parameters and strain measures from fully sampled and retrospectively accelerated MR images ...
Aya Ghoul +7 more
wiley +1 more source
Bearing fault diagnosis method based on WSST and ISSA-MCNN-BIGRU. [PDF]
Dong S, Tong W, Bai H, Liu Q.
europepmc +1 more source
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley +1 more source
Deep learning-based model for analyzing student engagement in activities. [PDF]
Feng F.
europepmc +1 more source
“Hearing” Wind Speed: Ground Wind Measurement Using Deep Learning From Surveillance Audio
Abstract This study presents a novel method for measuring ground wind speed (WS) using audio data collected from surveillance cameras. The continuous wavelet transform is employed to model wind sounds and capture the dynamic variations over time. A deep‐learning model integrating attention‐enhanced Convolutional Neural Network and Bidirectional Gated ...
Xing Wang +4 more
wiley +1 more source
A Novelty Temperature Compensation Model for Dual-Mass Vibration MEMS Gyroscope Based on Machine Learning and TTAO-VMD Algorithm. [PDF]
Tan W, Wang Y, Wang X.
europepmc +1 more source
Ferroelectrics Hybrids: Harnessing Multifunctionality of 2D Semiconductors in the Post‐Moore Era
In this Review, the state of art of ferroelectric hybrid systems—combining ferroelectrics, 2D semiconductors, and molecular switches is presented—as next‐generation platforms for high‐density, multifunctional electronics. By discussing 2D FeFET applications, nanoscale material downscaling, M3D integration, and emerging ferroelectrics, it highlights ...
Haixin Qiu +3 more
wiley +1 more source
Early Diagnosis of Knee Osteoarthritis With a Natural Language Processing-Driven Approach Based on Clinician Notes: Development and Validation Study. [PDF]
Thanyakunsajja N +4 more
europepmc +1 more source
This review highlights submicron patterning strategies for metal halide perovskites, focusing on solvent compatibility, resolution, and alignment toward scalable integration in advanced optoelectronic systems. Abstract Halide perovskites are promising materials for future optoelectronic and display systems.
Dante Ahn +4 more
wiley +1 more source

