Initial machine-learning models evaluating relationships between atmospheric and aquatic pollution indicators using Han-Danube river datasets.

Patent-pending ensemble machine-learning pipeline predicting industrial pollution using four aquatic and demographic variables across 65 rivers (2015-2024).

Patent-pending linear regression pipeline predicting industrial pollution using four aquatic and demographic variables across 44 rivers (2019-2024).

Patent-pending ensemble machine-learning pipeline predicting industrial pollution using five aquatic and demographic variables across 44 rivers (2019-2024).

Patent-pending support vector regression pipeline predicting industrial pollution using four aquatic and demographic variables across 65 rivers (2015-2024).

Patent-pending support vector regression pipeline predicting industrial pollution using four aquatic and demographic variables across 44 rivers (2019-2024).

Patent-pending linear regression pipeline predicting industrial pollution using four aquatic and demographic variables across 65 rivers (2015-2024).

Patent-pending support vector regression pipeline predicting industrial pollution using five aquatic and demographic variables across 65 rivers (2015-2024).

Patent-pending linear regression pipeline predicting industrial pollution using five aquatic and demographic variables across 65 rivers (2015-2024).

Patent-pending ensemble machine-learning pipeline predicting industrial pollution using five aquatic and demographic variables across 65 rivers (2015-2024).

Patent-pending support vector regression pipeline predicting industrial pollution using five aquatic and demographic variables across 44 rivers (2019-2024).

Patent-pending linear regression pipeline predicting industrial pollution using five aquatic and demographic variables across 44 rivers (2019-2024).

Patent-pending ensemble machine-learning pipeline predicting industrial pollution using four aquatic and demographic variables across 44 rivers (2019-2024).