Revisiting the application of machine learning approaches in predicting aqueous solubility
T Zheng, JBO Mitchell, S Dobson - ACS omega, 2024 - ACS Publications
The solubility of chemical substances in water is a critical parameter in pharmaceutical
development, environmental chemistry, agrochemistry, and other fields; however, accurately …
development, environmental chemistry, agrochemistry, and other fields; however, accurately …
An interpretable uni-nullneuron-based evolving neuro-fuzzy network acting to identify Dry Beans
PV de Campos Souza… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Evolving systems are models which are able to act dynamically in adaptive open-loop
manner for solving data stream modeling problems within different application areas. Their …
manner for solving data stream modeling problems within different application areas. Their …
Machine Learning for Solubility Prediction
T Zheng, JBO Mitchell, S Dobson - 2023 - researchsquare.com
The solubility of a chemical in water is a critical parameter in drug development and other
fields such as environmental chemistry and agrochemistry, but its in silico prediction …
fields such as environmental chemistry and agrochemistry, but its in silico prediction …