Results 181 to 190 of about 38,453 (306)

A Two‐Stage NLP‐Driven Framework for Interval‐Valued Carbon Price Prediction Using Sentiment Analysis and Error Correction

open access: yesJournal of Forecasting, Volume 45, Issue 2, Page 806-818, March 2026.
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

Multi‐Frame Image Registration for Automated Ventricular Function Assessment in Single Breath‐Hold Cine MRI Using Limited Labels

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 3, Page 1762-1777, March 2026.
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

Longitudinal Alzheimer’s Disease Progression Modelling via Hybrid Vision Transformers and Recurrent Neural Networks With Cross‐Modal Feature Fusion

open access: yesExpert Systems, Volume 43, Issue 3, March 2026.
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

“Hearing” Wind Speed: Ground Wind Measurement Using Deep Learning From Surveillance Audio

open access: yesGeophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
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

Ferroelectrics Hybrids: Harnessing Multifunctionality of 2D Semiconductors in the Post‐Moore Era

open access: yesAdvanced Materials, Volume 38, Issue 7, 2 February 2026.
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

Submicron Patterning Techniques for Perovskite Optoelectronics From Materials Challenges to Scalable Device Integration

open access: yesAdvanced Optical Materials, Volume 14, Issue 6, 9 February 2026.
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

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