P. Rohini

Scheduling-driven attention CNN–BiLSTM framework for aquaculture disease prediction using water quality parameters

An IoT based deep learning system for the prediction of important water quality parameters based on multi-sensor time-series data, such as pH, Dissolved Oxygen and Oxidation–Reduction Potential, and the framework is expanded to include disease risk categorization according to forecasted water quality which will enable...