Recent advances in technology have brought major breakthroughs in data collection,
enabling a large amount of data to be gathered over time and thus generating time series …

After the end of the first epidemic episode of SARS-CoV-2 infections, as cases began to rise
again during the summer of 2020, we at IHU Méditerranée Infection in Marseille, France …

As the aggravating influence of growing wind power, wind power forecasting research
becomes more important in economic operation and safety management of power system. A …

Air pollution is a serious global problem that threatens human life and health, as well as the
environment. The most important aspect of a successful air quality management strategy is …

The definition of a distance measure between time series is critical for many time series data
mining tasks such as clustering and classification. For this reason, and based on the specific …

Time series data are commonly clustered based on their distributional characteristics. The
moments play a central role among such characteristics because of their relevant …

Overall scientific planning of urbanization layout is an important component of the new
period of land spatial planning policies. Defining the main functions of different spaces and …

Time-series clustering is the process of grou** time series with respect to their similarity or
characteristics. Previous approaches usually combine a specific distance measure for time …

Due to various weather perturbation effects, the stochastic nature of real-life solar irradiance
has been a major issue for solar photovoltaic (PV) system planning and performance …

Brain electroencephalography (EEG), the complex, weak, multivariate, nonlinear, and
nonstationary time series, has been recently widely applied in neurocognitive disorder …