Abstract: This paper proposes an online parameter estimation method based on a discrete-time dynamic model for the interior permanent-magnet synchronous motors (IPMSMs). The proposed estimation ...

Abstract: Recent advancements in scaling pre-trained language models have led to significant performance improvements across various tasks. Yet, adapting these large models poses substantial ...

In this paper, we propose a conceptually simple but very effective attention module for Convolutional Neural Networks (ConvNets). In contrast to existing channel-wise and spatial-wise attention ...

IMPORTANT: The 2009IL and VSIL parameters should NOT be mixed! VSIL anion parameters were specifically parameterized to work exclusively with the virtual site cations ...