Results 211 to 220 of about 89,082 (306)

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

A caveat regarding the unfolding argument: implications of plasticity. [PDF]

open access: yesNeurosci Conscious
O'Reilly-Shah VN   +2 more
europepmc   +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

A Spatio‐Temporal Dynamics Model for Indoor Environmental Forecasting

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Accurate forecasting of indoor environmental conditions is essential for intelligent building operations and comfort‐oriented controls. However, reliable prediction remains challenging due to spatial heterogeneity across sensing locations, complex multi‐modal interactions, and nonstationary temporal dynamics.
Goro Terumichi   +3 more
wiley   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao   +3 more
wiley   +1 more source

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