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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
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
Panagopoulos, G. Application of major and trace elements as well as boron isotopes for tracing hydrochemical processes: the case of Trifilia coastal karst aquifer, Greece 2009 Environmental Geology 58 1067-1082 details   doi
Eliades, M.; Bruggeman, A.; Djuma, H.; Christofi, C.; Kuells, C. Quantifying evapotranspiration and drainage losses in a semi-arid nectarine (Prunus persica var. nucipersica) field with a dynamic crop coefficient (Kc) derived from leaf area index measurements 2022 Water 14 734 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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