Internet of Things (IoT) time-series analysis has found numerous applications in a wide
variety of areas, ranging from health informatics to network security. Nevertheless, the …

Condition-Based Maintenance (CBM), based on sensors, can only be reliable if the data
used to extract information are also reliable. Industrial metrology plays a major role in …

For automatic geology perception, this paper develops a DTW-Kmedoids-enabled time
series clustering framework to gain a clear insight into the geological condition ahead of the …

Implicit neural representations (INRs) have recently emerged as a powerful tool that
provides an accurate and resolution-independent encoding of data. Their robustness as …

Mining spatiotemporal mobility patterns is crucial for optimizing urban planning, enhancing
transportation systems, and improving public safety by providing useful insights into human …

Abstract Ground-level ozone (O 3) is one of the most worrisome air pollutants regarding
environmental and health impacts. There is a need for a deeper understanding of its spatial …

The" climate in the weather"(CW) approach, which combines the scientific and everyday
sense of climate, has been proposed. The CW is based on the in-depth idea of EE Fedorov …

Music listening choices are considered to be a factor capable of measuring people's
emotions. Thanks to the explosion of streaming music applications in recent years, it is …