Pre-processing and analysis of sensor data present several challenges due to their
increasingly complex structure and lack of consistency. In this paper, we present TSxtend, a …

In this article, the topic of time series modelling is discussed. It highlights the criticality of
analysing and forecasting time series data across various sectors, identifying five primary …

Sustainable urban development in the era of energy and digital transformation is crucial
from a societal perspective. Utilizing modern techniques for analyzing large datasets …

Forecasting returns in financial markets is notoriously challenging due to the resemblance of
price changes to white noise. In this paper, we propose novel methods to address this …

Purpose An accurate prediction of the deformation of retaining structures is critical for
ensuring the stability and safety of braced deep excavations, while the high nonlinear and …

Anotace Cílem této práce je porovnat různé architektury hlubokých neuronových sítí
aplikovaných na predikci ceny Bitcoinu. Vybrané architektury představují vícevrstvý …