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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
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
Kisi, O.; Melo, C.G.L. e.; Fischer, L.; Brandt, H.; Heims, L.; Loaec, A.; Masomy, W.; Parvez, M.; Roehl, J.; Külls, C. Comments on “Machine learning-based time series models for effective CO2 emission prediction in India” by Kumari and Singh, https://doi. org/10.1007/s11356-022–21723-8 2024 Environmental Science and Pollution Research 1-4 details   openurl
Ola, I.; Drebenstedt, C.; Burgess, R.M.; Mensah, M.; Hoth, N.; Okoroafor, P.; Külls, C. Assessing petroleum contamination in parts of the Niger Delta based on a sub-catchment delineated field assessment 2024 Environmental Monitoring and Assessment 196 585 details   openurl
Ola, I.; Drebenstedt, C.; Burgess, R.M.; Allan, I.J.; Hoth, N.; Külls, C. Application of Low Density Polyethylene (LDPE) Passive Samplers for Monitoring PAHs in Groundwater 2024 details   openurl
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