Autonomous driving demands reliable and efficient solutions to closely
related problems such as decision-making and motion planning. In this work,
decision-making refers specifically to highway lane selection, while motion
planning involves generat... read more
This study proposes a new method for computing transpiration across an eddy
covariance footprint using field observations of plant sap flow,
phytomorphology sampling, uncrewed aerial system (UAS), deep learning-based
digital image processing, and e... read more
Accurate pose estimation and shift correction are key challenges in cryo-EM
due to the very low SNR, which directly impacts the fidelity of 3D
reconstructions. We present an approach for pose estimation in cryo-EM that
leverages multi-dimensional s... read more
OBJECTIVE: To explore the potential and challenges of GLM-4 model in nursing test design, and to evaluate its effectiveness in generating multiple-choice questions under the theme of management of surgical shock patients. read more
Diffusion models (DMs) have achieved state-of-the-art generative performance
but suffer from high sampling latency due to their sequential denoising nature.
Existing solver-based acceleration methods often face image quality degradation
under a low... read more
Underwater image enhancement is vital for marine conservation, particularly
coral reef monitoring. However, AI-based enhancement models often face dataset
bias, high computational costs, and lack of transparency, leading to potential
misinterpretat... read more
Recent advances in large reasoning models highlight Reinforcement Learning
with Verifiable Rewards (RLVR) as a promising method for enhancing AI's
capabilities, particularly in solving complex logical tasks. However, it
remains unclear whether RLVR... read more
BACKGROUND: Artificial intelligence (AI) remains poorly understood and its rapid growth raises concerns reminiscent of dystopian narratives. AI has shown the capability of producing new medical content and improving management through optimization an... read more
High-level robotic manipulation tasks demand flexible 6-DoF grasp estimation
to serve as a basic function. Previous approaches either directly generate
grasps from point-cloud data, suffering from challenges with small objects and
sensor noise, or ... read more
Reactive, semi-permeable interfaces play important roles in key biological
processes such as targeted drug delivery, lipid metabolism, and signal
transduction. These systems involve coupled surface reactions, transmembrane
transport, and interfacia... read more
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