Abstract: Designing an efficient learning-based model predictive control (MPC) framework for ducted-fan unmanned aerial vehicles (DFUAVs) is a difficult task due to several factors involving uncertain ...
Introduction: Kinases are essential for cellular regulation and drug development. Predicting the quantitative binding affinity between small-molecule compounds and kinases remains a challenge because ...
Abstract: Existing compound fault diagnosis methods under varying operating conditions often generalize poorly to unknown operating conditions and rely heavily on large labeled sample sets. To address ...
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