In this paper, we propose the LiDAR Distillation to bridge the domain gap induced by different
LiDAR beams for 3D object detection. In many real-world applications, the LiDAR points …

The escalating volume and intricacy of legal documents necessitate advanced techniques
for automated text classification in the legal domain. Our proposed approach leverages …

The Great Barrier Reef faces significant threats from crown-of-thorns starfish (COTS), which
consume coral polyps and contribute to reef degradation. Traditional methods for detecting …

E-commerce chatbots play a crucial role in customer service but often struggle with
understanding complex queries. This study introduces a breakthrough approach leveraging the …

Lithium-ion (Li-ion) batteries are pivotal in energy storage, powering diverse applications
from portable electronics to electric vehicles. Optimizing Li-ion battery performance relies on …

In the realm of neuron cell segmentation from microscopic images, computer vision
technologies have shown potential in accelerating drug discovery processes for neurological …

Recognizing objects in dense clutter accurately plays an important role to a wide variety of
robotic manipulation tasks including grasping, packing, rearranging and many others. …

This paper explores the application of large language models (LLMs) to efficiently and accurately
extract relevant information from National Environmental Policy Act (NEPA) documents…

In order to understand the effect of light quality on growth of Bletilla striata seedlings in vitro,
the growth characters, activities of antioxidant enzymes and enzyme gene expression of B. …

Background: Disturbance in energy metabolism, as a key factor in diabetes-associated
cognitive decline (DACD), has become a promising therapeutic target of Chinese medicine ZiBu …