A Complete Proposed Framework for Coastal Water Quality Monitoring System With Algae Predictive Model

A Complete Proposed Framework for Coastal Water Quality Monitoring System With Algae Predictive Model

An end-to-end process to achieve a complete framework methodology for Harmful Algal Bloom (HAB) growth prediction is crucial for water management, especially in implementing robust predictive modelling of HAB to prevent water pollution. Previous works have separately focused on the prediction part o...

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Bibliographic Details
Main Authors: Nur Aqilah Paskhal Rostam, Nurul Hashimah Ahamed Hassain Malim, Rosni Abdullah, Abdul Latif Ahmad, Boon Seng Ooi, Derek Juinn Chieh Chan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
harmful algal bloom (HAB)
IoT
long short-term memory (LSTM)
machine learning
time series forecasting
Online Access:https://ieeexplore.ieee.org/document/9504580/

Internet

https://ieeexplore.ieee.org/document/9504580/

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