Results 221 to 230 of about 9,285,453 (352)

Uncertainty Characterization Framework for Machine Learning Based ACM in Q‐Band Satellite Links

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Adaptive coding and modulation (ACM) is a widely utilized technique in satellite communication networks to mitigate the adverse effects of rain fades, particularly in extremely high frequency (EHF) bands. As a core component of fade mitigation techniques (FMTs), ACM improves signal resilience.
Kamolideen Abolarinwa   +3 more
wiley   +1 more source

Application of Filtered Acceleration Feedforward PID in Stability Control of Monochromator [PDF]

open access: diamond
Xuying Lan   +8 more
openalex   +1 more source

From Resilience to “Susilience”: Toward Further Theoretical Perspectives in Sustainable Supply Chains

open access: yesSustainable Development, EarlyView.
ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley   +1 more source

Explainable Machine Learning for Predicting Time‐to‐Failure of Horizontal Pressurized Storage Tanks in Fire Scenarios

open access: yesSafety Science and Technology, EarlyView.
An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu   +5 more
wiley   +1 more source

Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi   +3 more
wiley   +1 more source

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