The research progress in multimodal learning has grown rapidly over the last decade in
several areas, especially in computer vision. The growing potential of multimodal data …

In the era of smart life, tracking human activities and motion can play a significant role in the
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …

Abstract Systems for recognizing human activities are being developed as part of a larger
framework that will allow for continuous monitoring of human behavior in intelligent home …

It is a nontrivial task to manage crowds in public places and recognize unacceptable
behavior (such as violating social distancing norms during the COVID-19 pandemic). In such …

The capacity of fully exploiting underlying spatial-temporal dependencies holds the key for
missing traffic data imputation, however, previous studies have neglected the residual …

The class imbalance problem occurs when there is an unequal distribution of classes in a
dataset and is a significant issue in various artificial intelligence applications. This study …

Classroom teaching, as the basic form of teaching, provides students with an important
channel to acquire information and skills. The academic performance of students can be …

In recent years, progress in breast cancer mortality reduction has slowed. The mortality rate
was increasing and Breast cancer became the first cause of death for women. The early …

Upsurging abnormal activities in crowded locations such as airports, train stations, bus
stops, shopping malls, etc., urges the necessity for an intelligent surveillance system. An …

Abstract As to the World Health Organization's Sustainable Development Agenda 2030,
engaging in regular physical activity offers numerous societal benefits for creating healthier …