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Adnan, R.M.; Dai, H.-L.; Kisi, O.; Heddam, S.; Kim, S.; Kulls, C.; Zounemat-Kermani, M. Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm 2023 Environmental Science and Pollution Research 30 94312-94333 details   openurl
Mehraein, M.; Mohanavelu, A.; Naganna, S.R.; Kulls, C.; Kisi, O. Monthly streamflow prediction by metaheuristic regression approaches considering satellite precipitation data 2022 Water 14 3636 details   openurl
Kisi, O.; Liepelt, K.; Kulls, C. Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence” 2023 Journal of Hydrologic Engineering 28 07023001 details   openurl
Kisi, O.; Heddam, S.; Parmar, K.S.; Yaseen, Z.M.; Kulls, C. Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data 2024 Stochastic Environmental Research and Risk Assessment 38 2489-2519 details   openurl
Kisi, O.; Ajri, S.; Jörgens, K.C.; Karande, A.; Kraus, S.; Naumann, B.; Nierman, K.; Seel, W.; Kulls, C. Comments on “Splitting tensile strength prediction of sustainable high-performance concrete using machine learning techniques” by Wu, Yangi et al., https://doi. org/10.1007/s11356-022-22048-2 2023 Environmental Science and Pollution Research 30 109854-109855 details   openurl
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