A consistent uniform quantum approach to the solution of the nonstationary state problems
including the DC (Direct Current) strong-field Stark effect and also scattering problem is …

This work examines if chaos and long memory exist in PM10 concentrations recorded in
Athens, Greece. The algorithms of Katz, Higuchi, and Sevcik were employed for the …

Reliable quantitative precipitation forecasting is essential to society. At present, quantitative
precipitation forecasting based on weather radar represents an urgently needed, yet rather …

For the first time, we present a completely new technique of analysis, processing and
forecasting of any time series of the environmental radioactivity dynamics, which …

This paper investigates the existence of chaos in concentration dynamics of particulate
matter with an aerodynamic diameter less than or equal to 10\,\upmu m 10 μ m (PM _ 10 PM …

The analysis techniques including multi-fractal approach, methods of correlation integral,
false nearest neighbour, Lyapunov exponent's, surrogate data, is applied analysis of …

This paper utilises statistical and entropy methods for the investigation of a 17-year PM10
time series recorded from five stations in Athens, Greece, in order to delineate existing …

It is presented an numerical application of a consistent chaosgeometrical combined
approach to treating of chaotic dynamics of atmospheric pollutants and its forecasting. It …

The purpose of this paper is to forecast the daily closing prices of stock markets based on
the past sequences. In this paper, keeping in mind the recent trends and the limitations of …

ABSTRACTWe present here a study about the limitations found when trying to develop an
accurate atmospheric particulate matter forecasting model based on real data, and evidence …