Results 211 to 220 of about 103,768 (331)

Deep learning model for enhanced power loss prediction in the frequency domain for magnetic materials

open access: yesIET Power Electronics, EarlyView.
This paper outlines the methodology for predicting power loss in magnetic materials. A neural network based method is introduced, which adopts a long short‐term memory network, expressing the core loss as a function of magnetic flux density in the frequency domain, temperature, frequency, and classification of the waveforms.
Dixant Bikal Sapkota   +3 more
wiley   +1 more source

Sub pico-second pulses in mono-mode optical fibers with Triki-Biswas model. [PDF]

open access: yesSci Rep
Hussain A   +5 more
europepmc   +1 more source

Framework for X‐ray mirror surface shape fitting

open access: yesJournal of Synchrotron Radiation, EarlyView.
The closed‐form expressions for elliptic cylinders, hyperbolic cylinders, ellipsoids, hyperboloids, and diaboloids used for X‐ray mirror surface shapes are summarized. Additionally, a four‐layer framework to fit the measured surface shape data in slope or height for convenient X‐ray mirror surface characterization is proposed.For accurate ...
Lei Huang   +9 more
wiley   +1 more source

A Note on a Nonlinear Elliptic Equation [PDF]

open access: yesIndiana University Mathematics Journal, 1972
openaire   +1 more source

The phenological growth stages, heat unit requirement and anti‐tyrosinase activity of Greyia radlkoferi Szyszyl

open access: yesAnnals of Applied Biology, EarlyView.
Phenological growth stages of Greyia radlkoferi: The phenological growth stages of Greyia radlkoferi were monitored for a period of 3 years from 2018, 2019 and 2020. The flower budding, bud burst, flowering, fading, fruiting, seeding, leaf senescence and vegetative stage were recorded. The tyrosinase inhibitory activity of G.
Joseph Malele   +3 more
wiley   +1 more source

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