Autonomous vehicles (AV) s have become a trending topic nowadays since they have the
potential to solve traffic problems, such as accidents and congestion. Although AV systems …

With the recent advances in the Internet of Things (IoT) technologies, various human-
centered applications have proliferated and improved the quality of users' life. In the …

Effectively modeling long spatiotemporal sequences is challenging due to the need to model
complex spatial correlations and long-range temporal dependencies simultaneously …

Human activity recognition (HAR) has recently gained popularity due to its applications in
healthcare, surveillance, human‐robot interaction, and various other fields. Deep learning …

Swarm-based algorithms are widely accepted in different fields of engineering as they have
proven themselves effective in solving real-world optimization problems. According to the …

Accurate identification of lane-changing intention can effectively assist intelligent driving
vehicles in terms of decision-making and trajectory planning, which plays a significant role in …

With the ever‐increasing use of Internet and social networks that generate a vast amount of
information, there is a serious need for recommendation systems. In this article, we propose …

A novel framework for the automated evaluation of various deep learning-based splice site
detectors is presented. The framework eliminates time-consuming development and …

Data-driven quality prediction model has been widely used in product estimation of batch
processes. However, the initial conditions of different batches in batch process are different …

The Internet of Things (IoT) has grown rapidly due to artificial intelligence driven edge
computing. While enabling many new functions, edge computing devices expand the …