Results 201 to 210 of about 39,047 (336)

TSG‐Net: A Multiscale Decomposition and Spatio‐Temporal Graph Neural Network Framework for High‐Precision Wind Power Forecasting

open access: yesWind 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

Protocol for preparation of mouse synovium for flow cytometry and RNA-seq. [PDF]

open access: yesSTAR Protoc
Montgomery AB   +8 more
europepmc   +1 more source

AI‐Driven Deep Learning Framework for Detecting Subtle Surface Defects on Wind Turbine Blades

open access: yesWind Energy, Volume 29, Issue 3, March 2026.
ABSTRACT Wind turbine blade surface defect detection is of great significance in ensuring the safety and operational efficiency of wind power systems. However, accurately detecting subtle and small‐scale defects remains challenging under complex imaging conditions.
Shoutu Li   +5 more
wiley   +1 more source

GPUSVM: a comprehensive CUDA based support vector machine package

open access: yesOpen Computer Science, 2011
Li Qi   +4 more
doaj   +1 more source

CUDA code to generate computational models and predict mechanical properties for metallic surface nanocoatings [PDF]

open access: gold
M. Bedolla-Hernández   +6 more
openalex   +1 more source

A Way For Accelerating The DNA Sequence Reconstruction Problem By CUDA [PDF]

open access: green, 2014
Yukun Zhong   +3 more
openalex   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

open access: yesWIREs 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

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