Results 141 to 150 of about 16,733 (217)

Study on Classification and Detection of Operational Fatigue in Deep‐Well Mining Truck Drivers Based on GSWOA‐LSSVM

open access: yesSafety Science and Technology, EarlyView.
ABSTRACT Effectively detecting the operational fatigue of miners can identify safety risks in mines. As the executors of auxiliary transportation in mines, the operational fatigue status of mining truck drivers deserves particular attention and detection.
Ying Chen   +4 more
wiley   +1 more source

Multiscale Coupling of Phase Transition and Urban Flow in Two‐Phase Chlorine Dispersion in Street Canyons

open access: yesSafety Science and Technology, EarlyView.
A multiscale CFD framework reveals that two‐phase effects fundamentally alter hazardous gas dispersion in urban street canyons. Droplet evaporation, vortex‐driven transport, and ventilation jointly control hazard evolution, with wind speed dominating dispersion while temperature plays a secondary role.
Jialin Li   +3 more
wiley   +1 more source

The era of precision cosmology with voids. [PDF]

open access: yesAstron Astrophys Rev
Contarini S, Verza G, Pisani A.
europepmc   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan   +4 more
wiley   +1 more source

Optimisation or Learning? Appropriate Choice of Models and Methods for Sequential Decision‐Making in Power System Operation

open access: yesEnergy Internet, EarlyView.
ABSTRACT Power system operation is inherently a sequential decision‐making problem, traditionally addressed through optimisation models built upon high‐quality load forecasts. However, the rapid proliferation of renewable generation and price‐responsive demands, such as electric vehicles and merchant energy storage, has introduced multiple sources of ...
Wei Wei, Runze Liang
wiley   +1 more source

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