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The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...
This paper explores the multi-objective optimization design issue of the dual-stator hybrid rotor low-speed high-torque motor (DS-LSHTM).The torque, torque ripple and motor efficiency are selected as ...
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsMany existing methods for exploring the link between neural activity ... with a multisection neural network architecture and training approach." The researchers trained their RNN-based model using a ...
In isolated networked microgrid with high penetration of solar and wind-based generation, maintaining system stability and achieving optimal dynamic performance poses significant challenges due to ...
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Christian Pulisic says he wanted to play USMNT friendlies before Gold Cup, was turned down by coaching staff Pulisic addressed his decision to take the summer off, as well as the criticism from ...
This volume 2 topic aims to address these ongoing challenges while exploring new horizons for neural network-based algorithms in robotics. We seek contributions that propose novel neural network ...
To effectively monitor and control the fermentation process, an accurate real-time measurement of important variables is necessary. However, given the complexity of microbial fermentation and the ...
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