Advances in materials informatics: a review
Materials informatics (MI) is aimed to accelerate the materials discovery using computational
intelligence and data science. Progress of MI depends on the strength of database and …
intelligence and data science. Progress of MI depends on the strength of database and …
Drinking water potability prediction using machine learning approaches: a case study of Indian rivers
B Ainapure, N Baheti, J Buch, B Appasani… - Water Practice & …, 2023 - iwaponline.com
Drinking water is the most precious resource on Earth. In the past few decades, the quality of
drinking water has significantly degraded due to pollution. Water quality assessment is …
drinking water has significantly degraded due to pollution. Water quality assessment is …
Long-term water quality model in aquaculture based on dilated convolution feature fusion and interactive learning
D Li, W Zhao - Applied Soft Computing, 2023 - Elsevier
The prediction of water quality parameters is of great significance for maintaining water
stability and controlling marine environments. However, due to the temporal nature of water …
stability and controlling marine environments. However, due to the temporal nature of water …
A novel method for multi-pollutant monitoring in water supply systems using chemical machine vision
J Yan, J Lee, L Liu, Q Duan, J Lei, Z Fu, C Zhou… - … Science and Pollution …, 2024 - Springer
Drinking water is vital for human health and life, but detecting multiple contaminants in it is
challenging. Traditional testing methods are both time-consuming and labor-intensive …
challenging. Traditional testing methods are both time-consuming and labor-intensive …