While the basic course is free and great for getting started, they also have a ‘Pro’ version if you want to dig deeper. It’s ...
Abstract: Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated ...
Abstract: Fault diagnosis of railway assets has drawn the interest of both the scholarly and engineering communities. Federated learning (FL) enables training models across distributed assets to ...
Abstract: The increasing AI applications demands efficient computing capabilities to support a huge amount of calculations. Among the related arithmetic operations, multiplication is an indispensable ...
Abstract: As mobile devices and mobile Internet cover large area, the development of mobile learning also got bigger. This article mainly expounds the JAVA mobile learning system under the environment ...
Abstract: Self-supervised point cloud representation learning aims to acquire robust and general feature representations from unlabeled data. Recently, masked point modeling-based methods have shown ...
Abstract: Navigating a nonholonomic robot in a cluttered, unknown environment requires accurate perception and precise motion control for real-time collision avoidance. This article presents neural ...
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