Results 131 to 140 of about 276,034 (269)
A Short-Term Power Load Forecasting Method Using CNN-GRU with an Attention Mechanism
EnergiesThis paper proposes a short-term electric load forecasting method combining convolutional neural networks and gated recurrent units with an attention mechanism.
Qingbo Hua +6 more
semanticscholar +1 more source
Wind Energy, Volume 29, Issue 3, March 2026.ABSTRACT Wind energy's intermittency poses significant challenges for power grid stability. Existing forecasting methods exhibit notable limitations: traditional machine learning models struggle with long‐term temporal dependencies, while deep learning approaches often overlook spatial relationships among turbines.
YuChen Zhang
wiley +1 more source
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems)Stock price prediction continues to be a major focus for investors today, some previous studies often focus on technical analysis using historical stock price data and ignore external factors that can affect stock prices.
Anita Sjahrunnisa +2 more
doaj +1 more source
Встречи стерха grus leucogeranus и серых журавлей grus grus на юге Сибири
Русский орнитологический журнал, 2015 Второе издание. Первая публикация: Миловидов C.П., Нехорошев О.Г. 2011. Встречи стерха и серых журавлей на юге Сибири // Информ. бюл. рабочей группы по журавлям Евразии 11: 47.
openaire +1 more source
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool +7 more
wiley +1 more source
Eestis pesitsevate sookurgede (Grus grus) rändemustrid
, 2017 The Common Crane (Grus grus) has a large distribution area in Eurasia. It is a migratory bird species and its location depends on the season. In Estonia the Common Crane is quite frequent but has a low numbered population and is under protection. 8% of Common Cranes’ European population breeds in Estonia and another 10% stops here during migration. The
openaire +1 more source
Expert 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
Geophysical 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
A parametrically‐Conditioned Deep Learning Surrogate for Coherent Spinodal Decomposition
Advanced Theory and Simulations, Volume 9, Issue 2, February 2026.Spinodal decomposition of strained alloys with cubic anisotropy is reproduced by a Convolutional Recurrent Neural Network, taking the misfit parameter as explicit input to return different morphologies. The predicted composition fields match phase‐field simulations over a broad range of parameters, allowing to reconstruct the full phase diagram.
Andrea Fantasia +5 more
wiley +1 more source