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Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park   +4 more
wiley   +1 more source

A simulation-based dataset for anomaly detection in hydrogen blend transport networks. [PDF]

open access: yesData Brief
Senese A   +7 more
europepmc   +1 more source

Power generator mechanical faults effects on electric power quality

2014 Electric Power Quality and Supply Reliability Conference (PQ), 2014
The principal objective of the paper is to establish the framework for power quality and vibration measurements assessment of hydropower generator. To meet the objective the set of measurements were performed on hydropower generating unit, using typical instrumentation like voltage analyzer for three-phase electrical networks, laser tachometer kit ...
Marina Griscenko   +2 more
openaire   +1 more source

Flexible Active Power Control of Distributed Power Generation Systems During Grid Faults

IEEE Transactions on Industrial Electronics, 2007
Udgivelsesdato ...
Rodriguez, P.   +4 more
openaire   +2 more sources

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