The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …

A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …

To solve the problem of unknown noise covariance matrices inherent in the cooperative
localization of autonomous underwater vehicles, a new adaptive extended Kalman filter is …

Although there is increasing awareness of disparities in COVID-19 infection risk among
vulnerable communities, the effect of behavioral interventions at the scale of individual …

The proliferation of mobile computing has prompted WiFi-based indoor localization to be
one of the most attractive and promising techniques for ubiquitous applications. A primary …

Over the last few decades, life expectancy has increased significantly. However, elderly
people who live on their own often need assistance due to mobility difficulties, symptoms of …

We use data on human mobility obtained from mobile applications to explore the activity
patterns in the neighbourhoods of Greater London as they emerged from the first wave of …

This study proposes a mobile positioning method that adopts recurrent neural network
algorithms to analyze the received signal strength indications from heterogeneous networks …

Although WiFi fingerprint-based indoor localization is attractive, its accuracy remains a
primary challenge, especially in mobile environments. Existing approaches either appeal to …

This work focuses on traffic parameters estimation based on trajectory data in an arterial
corridor with multiple signalized intersections. We develop a general framework that can …