Enhancing sustainability in sewage treatment: A least squares support vector regression-based modeling approach for optimizing regeneration conditions of iFeCu

Chan, Mieow Kee; Yeo, Wan Sieng; Ngu, Joyce Chen Yen; Lee, Pei Yi; Nandong, Jobrun; Sharani, Noor Atiqah; Aris, Alijah Mohd; Chin, Khor Bee

doi:10.1016/j.jwpe.2024.105694

Journal of Water Process Engineering

2024

DOI: 10.1016/j.jwpe.2024.105694

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Enhancing sustainability in sewage treatment: A least squares support vector regression-based modeling approach for optimizing regeneration conditions of iFeCu

Mieow Kee Chan,

Wan Sieng Yeo,

Joyce Chen Yen Ngu

et al.

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Enhancing sustainability in sewage treatment: A least squares support vector regression-based modeling approach for optimizing regeneration conditions of iFeCu

Cited by 2 publications

References 41 publications

A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors

A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors

Application and innovation of artificial intelligence models in wastewater treatment

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