Building a time series forecasting model by independent component analysis mechanism presents in the paper. Different from using the time series directly with the traditional ARIMA forecasting model, the underlying factors extracted from time series is the forecasting base in our model. Within component ambiguity, correlation approximation and mean difference problems, independent component ana...

Visibility prediction and time series forecasting are two important fields in the domain of data analysis machine learning. deals with estimation atmospheric visibility or distance over which objects can be clearly seen a particular location, while involves predicting future values based on historical data. Both these have wide range applications, including transportation safety, air quality mo...

Abstract: In 2007, in Kazakhstan, there was a transition of TDM (Time Division Multiplexing) circuit-switched technologies to IP (Internet Protocol) packet technology, which created modern infrastructure for the ICT (information communication technologies) sphere. The advent IoT Things) concept has led growth functioning network at faster rate. It is currently developing direction cognitive inf...