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From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...
Abstract: To improve the estimation accuracy of the state of charge (SOC) in power batteries for electric vehicles, this study proposes a novel modeling and online SOC estimation method using Back ...
ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...
Frank McCourt said his Project Liberty consortium, which has bid to buy TikTok, would be comfortable sharing ownership of the app so long as it's hosted on tech developed by his nonprofit. President ...
Now that the PS5 Pro is here, we know that it does deliver slightly better gaming performance, especially whenever a ‘performance mode’ is enabled. This is largely thanks to the RDNA 2 GPU simply ...
Enhancing bathymetric prediction by integrating gravity and gravity gradient data with deep learning
This study aims to enhance the spatial resolution and accuracy of bathymetric prediction by integrating Gravity Anomaly (GA) and Vertical Gravity Gradient Anomaly (VGG) data with a dual-channel ...
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