Location search services (LSSs) provide convenience and enhanced functionality of
ubiquitous computing, but they lead to a new risk of private location data leakage. The …

Multivariate time series forecasting has many practical applications in a variety of domains
such as commerce, weather, environment, and transportation. There exist so many methods …

Coal mine location-based services are vital fundamental facilities for achieving intelligence.
Ultra-wideband (UWB) is widely used for underground mine positioning because of its …

The K-Means algorithm is a powerful tool for data analysis, but it faces several challenges
when dealing with large multi-feature data. Centroid initialization and centroid determination …

Indoor localization has attracted significant demand in diverse smart building applications
like automated energy management, patient tracking in hospitals, industrial indoor …

This paper presents an enhanced PDR-BLE compensation mechanism for improving indoor
localization, which is considerably resilient against variant uncertainties. The proposed …

Model initialization techniques are vital for improving the performance and reliability of deep
learning models in medical computer vision applications. While much literature exists on …

Indoor positioning has attracted considerable interest in both the industry and academic
communities because of its wide range of applications, such as asset tracking, healthcare …

The temperature profile is an important parameter of the atmospheric thermal state in
atmospheric monitoring and weather forecasting. The hyperspectral infrared sounder of a …

In the presented article, the algorithm for estimating the time of arrival using multiple signal
classification (MUSIC) was studied, the distance range was estimated within the framework …