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