Wearable sensor based human physical activity recognition has extensive applications in
many fields such as physical training and health care. This paper will be focused on the …

In the era of the Internet of Things and Artificial Intelligence, the Wi-Fi fingerprinting-based
indoor positioning system (IPS) has been recognized as the most promising IPS for various …

Radio frequency fingerprinting, based on Wi-Fi signals is a popular approach for indoor
localization. Recently a few works have explored applicability of machine learning …

With the rapid growing market of wireless devices, positioning systems that make use of the
signal strength of wireless devices are gaining more interest nowadays. Being able to track …

The concentration of alumina in the electrolyte is of great significance during the production
of aluminum; it may affect the stability of aluminum reduction cell and the current efficiency …

We propose two kinds of robust extreme learning machines (RELMs) based on the close-to-
mean constraint and the small-residual constraint respectively to solve the problem of noisy …

Currently there is a trend in indoor localization by utilizing machine learning. However, the
precision and robustness are limited due to single feature machine learning scheme. The …