Software Synthetic Random Environmental Time Series Generation with Similarity Control, Preserving Original Signal’s Statistical Characteristics Model-based dense air pollution maps from sparse sensing in multi-source scenarios Long-term forecasting of Air-Pollution using the discrete-time Markov Model Sensor Evaluation Toolkit (SET) Spectral Methods for Imputation of Missing Air Quality Data Using machine learning-based analysis for behavioral differentiation between anxiety and depression
