Results 1 to 10 of about 26,258 (185)
Energies, 2022 Integration of distributed energy sources, advanced meshed operation, sensors, automation, and communication networks all contribute to autonomous operations and decision-making processes utilized in the grid.
Ali Riza Ekti +5 more
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Scientific Reports, 2022 Arcing is a ubiquitous phenomenon and a crucial issue in high-voltage applied systems, especially low-temperature plasma (LTP) engineering. Although arcing in LTPs has attracted interest due to the severe damage it can cause, its underlying mechanism has
Si-jun Kim +7 more
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Arc operads and arc algebras [PDF]
Geometry & Topology, 2003 Published by Geometry and Topology at http://www.maths.warwick.ac.uk/gt/GTVol7/paper15.abs ...
Kaufmann, Ralph M +2 more
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The Turkish Journal of Pediatrics, 2017 Arthrogryposis-renal dysfunction-cholestasis (ARC) is an autosomal recessive multisystem disorder characterized by arthrogryposis, renal tubular dysfunction and neonatal cholestasis with low gamma glutamyl transpeptidase activity. Most of the mutations in ARC syndrome are associated with the vacuolar protein sorting 33B (VPS33B) gene on chromosome ...
Mehmet Mutlu +5 more
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Journal of Algebraic Combinatorics, 2013 Updated with minor corrections reflecting referee comments.
Elizalde, Sergi, Roichman, Yuval
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IET Generation, Transmission & Distribution, 2021 Online non‐invasive methods to assess circuit breaker condition have been under consideration in recent years. The combination of the arcing time and the short‐circuit current recorded by protective relays can be utilized to assess the degrading impact ...
Milad Mohammadhosein +3 more
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Detecting Arcing Faults in Switchgear by Using Deep Learning Techniques
Applied Sciences, 2023 Switchgear and control gear are susceptible to arc problems that arise from slowly developing defects such as partial discharge, arcing, and heating due to faulty connections. These issues can now be detected and monitored using modern technology.
Yaseen Ahmed Mohammed Alsumaidaee +7 more
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Transferring CNN Features Maps to Ensembles of Explainable Neural Networks
Information, 2023 The explainability of connectionist models is nowadays an ongoing research issue. Before the advent of deep learning, propositional rules were generated from Multi Layer Perceptrons (MLPs) to explain how they classify data.
Guido Bologna
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AI in arcing-HIF detection: a brief review
IET Smart Grid, 2020 In the past few decades, the arcing-high-impedance fault (arcing-HIF) detection problems have become an important issue in the effectively grounded distribution network. Many solutions have been proposed to address this problem.
Bai Hao
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Physical Review Letters, 2023 We predict a novel metallic state of matter that emerges in a Weyl-semimetal superstructure with spatially varying Weyl-node positions. In the new state, the Weyl nodes are stretched into extended, anisotropic Fermi surfaces, which can be understood as being built from Fermi arclike states.
Maxim Breitkreiz, Piet W. Brouwer
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