Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
The final, formatted version of the article will be published soon. Despite the growing availability of nuclear genomic data, mitochondrial genes remain the most widely used molecular markers in ...
Ever wonder why ChatGPT slows down during long conversations? The culprit is a fundamental mathematical challenge: Processing long sequences of text requires massive computational resources, even with ...
Abstract: Despite the tremendous success in robotic grasp detection, learning a robust grasping policy with limited annotations still remains significantly challenging, especially in complex ...
Reward functions play a crucial role in reinforcement learning (RL) systems, but their design presents significant challenges in balancing task definition simplicity with optimization effectiveness.
ABSTRACT: A sparse vector regression model is developed. The model is established by employing Bayesian formulation and trained by using a set of data . The parameters needed to be determined in the ...
Large language models (LLMs) have demonstrated remarkable in-context learning capabilities across various domains, including translation, function learning, and reinforcement learning. However, the ...
Abstract: Sparse learning-based feature selection is an emerging topic, acclaimed for its potential in delivering promising performance and interpretability. Nevertheless, the task of determining a ...
Recent advancements in neuroimaging have led to greater data sharing among the scientific community. However, institutions frequently maintain control over their data, citing concerns related to ...
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