Abstract: Test optimization selection (TOS) is a crucial technology in testability design, playing a key role in intelligent manufacturing by enhancing product maintainability and reliability while ...
Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...
It is a central question in neuroscience to understand how different regions of the brain interact, how strongly they "talk" ...
Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...
Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...
As global concerns over sustainability grow, integrating advanced mathematical optimization techniques into decision support systems is vital for sustainable supply chain management. Modern supply ...
This is a reference implementation and will not be actively maintained in the future. The code in this repository is a refactored version of the codebase we used to produce the results in the paper ...
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