Abstract: This article investigates a data-driven method to solve the discrete-time linear output regulation problem. Different from existing learning-based data-driven solutions, we adopt the ...
Physical systems become inherently more complicated and difficult to produce in a lab as the number of dimensions they exist in increases—even more so in quantum systems. While discrete time crystals ...
Abstract: In the era of big data and intelligent sensing, deep neural networks provide new impetus for prognostics and health management (PHM) with their powerful feature extraction capabilities.
Learn the benefits and risks of options and how to start trading options Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Samantha (Sam) Silberstein, CFP®, CSLP®, ...
We test and rate the top video editing software for every type of user, from casual family event videographers to social media posters to studio professionals. I’ve been writing and editing technology ...
ModernTCN enhances this by introducing a Larger ERF (LERF) to better capture extended temporal patterns. However, this improvement leads to the Forgetting-Knowledge Dilemma, caused by cognitive ...
We open source e3d: Efficient Methods for 3D Deep Learning, a repository containing our recent advances in efficient 3D point cloud understanding. [2020-08] Please check out our ECCV 2020 tutorial on ...
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