Epilepsy is a chronic neurological disorder. Epileptics are prone to sudden seizures that
cause disruptions in their daily lives. The separation of epileptic and non-epileptic activity on …

In this paper, we propose a new temporal template approach for action recognition and
person identification based on motion sequence information in masked depth video streams …

Due to the explosive penetration of photovoltaic (PV) systems in the power grid, accurate
and well-informed solar PV power forecasting has become exceptionally crucial, while …

In the context of a low-carbon economy, it is crucial to integrate environmentally friendly and
intelligent designs into fitness facilities to ensure sustainable economic, environmental, and …

The task of spatio-temporal action localization (STAL) needs to detect the action and
position of individuals in the scene. Many works cannot model spatio-temporal information …

Gastric cancer is one of the three major malignant tumors in the world. The earlier it is found,
the higher cure rate get. However, the early clinical diagnosis is still not good enough. Thus …

Video surveillance systems are often used for traffic monitoring and to characterize traffic
load. However, most of the surveillance videos are low frame rated and extracting the right …

In the contemporary era where artificial intelligence technology is becoming increasingly
popular, its introduction into classroom teaching has become an important way to improve …

A text classification-based financial report management generation system is proposed to
address the issues of slow data collection and low data integration efficiency in existing …

Sign Language recognition system plays a vital role for the hearing and visually impaired
people to make normal communication with the other common people. But deaf and dumb …