Results 171 to 180 of about 19,826 (256)

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

IEEJ 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

?????: An effective Lagrangian approach

Zeitschrift f�r Physik C Particles and Fields, 1988
openaire   +1 more source

Scale‐aware impact modelling for atmospheric releases of radioactive material

Weather, EarlyView.
Since the Fukushima nuclear power plant disaster in 2011, the UK has developed the process of Joint Agency Modelling (JAM), which provides advice to government in case of atmospheric releases of radioactive material. The timely deployment of JAM requires a prior estimate of the extent to which impacts could reach. Thus, to develop a fast pre‐calculator
Isaac Jadav, Sarah Millington, Gemma Halloran   +2 more
wiley   +1 more source

Arc Resistance Enhancement of Converter Transformer Tank Through Structural Improvements: Simulation and Experimental Validation

High Voltage, EarlyView.
ABSTRACT Currently, limited research exists on the structural response and protection methods of the converter transformer tank for ± 800 kV ultra‐high voltage direct current transmission project to high energy arc faults. This research investigates the dynamic response and the vulnerable areas of the ultra‐high voltage converter transformer under the ...
Ke Wang, Shuqi Zhang, Yikun Zhao, Yichen Wang, Zongliang Zhang, Jinhua Zhang   +5 more
wiley   +1 more source

Recognition of Spatiotemporal Feature Images of Zero‐Sequence Voltage for Single‐Phase High‐Impedance Ground Faults Under Complex Conditions

High Voltage, EarlyView.
ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li, Yijia Cao, Chun Chen, Weiyu Wang, Yansha Li, Jinglu Li   +5 more
wiley   +1 more source

Review of Catenary Icing on High‐Speed Railways: Characteristics, Impact and Countermeasures

High Voltage, EarlyView.
ABSTRACT The pantograph–catenary system (PCS) is the only path for electrified railway trains to acquire energy. Catenary icing during winter is a common natural phenomenon, which usually leads to the deterioration of the current quality and severely affects the operational safety of trains.
Zheng Li, Guizao Huang, Zhijin Zhang, Yang Liu, Guoqiang Gao, Guolin Yang, Xi Yang, Guangning Wu   +7 more
wiley   +1 more source

Financial Climate‐Risk Measurement, Impact Funds, and Green Transitions

Journal of Accounting Research, EarlyView.
ABSTRACT Regulators are contemplating or mandating precise measurement of financial climate‐risk exposure to promote sustainable investments. We show that such mandates can be counterproductive in the presence of social funds that catalyze change by subsidizing the adoption of cleaner production technologies.
VOLKER LAUX, LUCAS MAHIEUX
wiley   +1 more source

Network Structure and the Efficiency Gains from Mergers: Evidence from U.S. Freight Railroads

The RAND Journal of Economics, EarlyView.
ABSTRACT The trade‐off between market power and efficiency gains is central to antitrust analyses of mergers, but empirical evidence quantifying efficiencies remains limited. Using transaction‐level data from U.S. freight railroads (1985–2005), this article quantifies merger‐induced cost efficiencies, driven mainly by eliminating inter‐railroad ...
Yanyou Chen
wiley   +1 more source

Output Quality, Productivity, and Demand: Evidence from the Chinese Steel Industry

The RAND Journal of Economics, EarlyView.
ABSTRACT Unobserved objective output quality complicates the analysis of firm productivity and demand because higher‐quality products entail higher costs but offer greater consumption benefits. Using a panel of firms with output quality data, we decompose quantity‐based productivity into fundamental productivity and the costs of quality, and separate ...
Jing Li, Shengyu Li, Hongsong Zhang
wiley   +1 more source

Addressing false negatives and positives in eDNA studies

Methods in Ecology and Evolution, EarlyView.
Abstract Environmental DNA (eDNA) has revolutionized the study of ecology and biodiversity, enabling species detection without direct observation in the environment. However, the implications of detection errors, specifically false positives and false negatives, are poorly reported in eDNA studies, significantly hindering our understanding of the ...
Amal Bajaffer, Lutfi Afiq‐Rosli, Kah Kheng Lim, Sofia Frappi, Michelle‐Nicole Havlik, Diego E. Rivera Rosas, Elisa Laiolo, Carlos Angulo‐Preckler, Carlos M. Duarte   +8 more
wiley   +1 more source