People communicate daily with their mobile phones and in some cases, the quality of the
communication may be vital. Thus, there is a clear interest in improving the quality of …

Most current short-term load forecasting models have difficulty in simultaneously taking into
account the time-series nature of load data, the non-linear characteristics, and the …

The paper addresses the problem of the automatic design of sequential systems. For a
complete description of the operation of the sequential system, a table of states or another …

Background: Audio signal reconstruction using machine/deep learning algorithms has been
explored much more in the recent years, and it has many applications in digital signal …

Predicting the Covid-19 spread and its impact on the stock market is an important research
challenge these days. In order to obtain the best forecasting model, we have exploited neuro …