Abstract: This paper proposes a hybrid kinematic calibration framework for serial robotic manipulators that integrates analytical parameter identification with data-driven residual learning. First, ...
Background: Despite its proven efficacy, retention in medication for opioid use disorder (MOUD) remains low, with structural and systemic barriers—such as access to care and treatment ...
Atherosclerotic cardiovascular disease (ASCVD) poses a significant health challenge worldwide. While statins effectively reduce low‐density lipoprotein (LDL) cholesterol and lower cardiovascular risk, ...
Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
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