Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks: Environmental Science & Technology

Mohammad Javad Saravani; Roohollah Noori; Changhyun Jun; Dongkyun Kim; Sayed M. Bateni; Peiman Kianmehr; Richard Iestyn Woolway

doi:10.1021/acs.est.4c11113

Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks: Environmental Science & Technology

Mohammad Javad Saravani, Roohollah Noori, Changhyun Jun, Dongkyun Kim, Sayed M. Bateni, Peiman Kianmehr, Richard Iestyn Woolway

School of Ocean Sciences

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1801-1810
Number of pages	10
Journal	Environmental Science and Technology
Volume	59
Issue number	3
Early online date	16 Jan 2025
DOIs	https://doi.org/10.1021/acs.est.4c11113
Publication status	E-pub ahead of print - 16 Jan 2025

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10.1021/acs.est.4c11113

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ES&T
Accepted author manuscript, 4.31 MB
Embargo ends: 16/01/26

Cite this

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title = "Predicting Chlorophyll-a Concentrations in the World{\textquoteright}s Largest Lakes Using Kolmogorov-Arnold Networks: Environmental Science \& Technology",

author = "Saravani, \{Mohammad Javad\} and Roohollah Noori and Changhyun Jun and Dongkyun Kim and Bateni, \{Sayed M.\} and Peiman Kianmehr and Woolway, \{Richard Iestyn\}",

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T2 - Environmental Science & Technology

AU - Saravani, Mohammad Javad

AU - Noori, Roohollah

AU - Jun, Changhyun

AU - Kim, Dongkyun

AU - Bateni, Sayed M.

AU - Kianmehr, Peiman

AU - Woolway, Richard Iestyn

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