Abstract: Dynamic task scheduling is vital for optimizing performance and resource utilization, particularly in heterogeneous computing environments. The LLVM-based Julia programming language offers a ...
Abstract: The requirement of sufficient run-to-failure data poses a significant challenge in developing deep learning (DL)-based health prognostics for lithium-ion batteries. In practice, numerous ...
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