The role of industry 4.0 enabling technologies for predicting, and managing of algal blooms: Bridging gaps and unlocking potential DOI Creative Commons

Abdul Gaffar Sheik,

Sireesha Mantena, Arvind Kumar

et al.

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 212, P. 117493 - 117493

Published: Dec. 30, 2024

Language: Английский

Enhancing short-term algal bloom forecasting through an anti-mimicking hybrid deep learning method DOI
Ya-Qin Zhang,

Yichong Wang,

Huihuang Chen

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 379, P. 124832 - 124832

Published: March 10, 2025

Language: Английский

Citations

1
Enhanced forecasting of chlorophyll-a concentration in coastal waters through integration of Fourier analysis and Transformer networks DOI

Xiaoyao Sun,

Danyang Yan,

Sensen Wu

et al.

Water Research, Journal Year: 2024, Volume and Issue: 263, P. 122160 - 122160

Published: July 27, 2024

Language: Английский

Citations

7
Occurrence and risk assessment of different cyanotoxins and their relationship with environmental factors in six typical eutrophic lakes of China DOI

Huiting Yang,

Yu-jia Yao,

Wei Chen

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121184 - 121184

Published: Feb. 1, 2025

Language: Английский

Citations

0
Quantification of chlorophyll-a in inland waters by remote sensing algorithm based on modified equivalent spectra of Sentinel-2 DOI Creative Commons
Wenbin Pan, Fei Yu, Jialin Li

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103061 - 103061

Published: Feb. 1, 2025

Language: Английский

Citations

0
Design of a Fractional-Order Environmental Toxin-Plankton System in Aquatic Ecosystems: A Novel Machine Predictive Expedition with Nonlinear Autoregressive Neuroarchitectures DOI

Muhammad Junaid Ali Asif Raja,

Amir Sultan, Chuan‐Yu Chang

et al.

Water Research, Journal Year: 2025, Volume and Issue: unknown, P. 123640 - 123640

Published: April 1, 2025

Language: Английский

Citations

0
Data-driven models for forecasting algal biomass in a large and deep reservoir DOI
Yuan Li,

Kun Shi,

Mengyuan Zhu

et al.

Water Research, Journal Year: 2024, Volume and Issue: 270, P. 122832 - 122832

Published: Nov. 22, 2024

Language: Английский

Citations

1
The role of industry 4.0 enabling technologies for predicting, and managing of algal blooms: Bridging gaps and unlocking potential DOI Creative Commons

Abdul Gaffar Sheik,

Sireesha Mantena, Arvind Kumar

et al.

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 212, P. 117493 - 117493

Published: Dec. 30, 2024

Language: Английский

Citations

0