Accurate stock market predictions following earnings reports are crucial for investors.
Traditional methods, particularly classical machine learning models, struggle with these …

Trauma is a significant cause of mortality and diagnostic methods for traumatic injuries, such
as X-rays, CT scans, and MRI, are often time-consuming and dependent on medical …

This paper discusses the application and advantages of artificial intelligence technology in
digital media interactive product design. Firstly, the development background of artificial …

Gastrointestinal (GI) tract disorders, ranging from benign polyps to aggressive forms of
cancer, pose significant health challenges globally. Early detection and precise …

Artificial Intelligence (AI) is fundamentally reshaping various industries by enhancing
decision-making processes, optimizing operations, and unlocking new opportunities for …

At present, in most warehouse environments, the accumulation of goods is complex, and the
management personnel in the control of goods at the same time with the warehouse mobile …

Event-based cameras, as bio-inspired vision sensors, record intensity changes
asynchronously. The Dynamic and Active-pixel Vision Sensor (DAVIS) enhances …

We present MaskPOINT, a novel scheme of masked-wise pretrained models for point cloud
self-supervised learning, addressing the challenges posed by 3D understanding, including …

Many people die from lung-related diseases every year. X-ray is an effective way to test if
one is diagnosed with a lung-related disease or not. This study concentrates on categorizing …

In the field of spatial computing, one of the most essential tasks is the pose estimation of 3D
objects. While rigid transformations of arbitrary 3D objects are relatively hard to detect due to …