Results 221 to 230 of about 428,921 (359)

Coevolutionary Neural Dynamics With Learnable Parameters for Nonconvex Optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Nonconvex optimisation plays a crucial role in science and industry. However, existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems, lacking robustness in noise scenarios. To address these limitations, we aim to develop a robust, efficient and globally convergent solver for ...
Yipiao Chen   +3 more
wiley   +1 more source

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

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

Model‐Free Local Partial Correlation

open access: yesAustralian &New Zealand Journal of Statistics, EarlyView.
ABSTRACT In the simple linear regression context, partial correlation measures the linear association between two variables, with the linear effects of a third control variable removed. In this paper, we investigate the local partial correlation using a kernel smoothing approach.
Li‐Shan Huang   +2 more
wiley   +1 more source

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