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Kisi, O., Liepelt, K., & Kulls, C. (2023). Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence”. Journal of Hydrologic Engineering, 28(4), 07023001.
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Kisi, O., Ajri, S., Jörgens, K. C., Karande, A., Kraus, S., Naumann, B., et al. (2023). 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. Environmental Science and Pollution Research, 30(50), 109854–109855.
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Kisi, O., Melo, C. G. L. e., Fischer, L., Brandt, H., Heims, L., Loaec, A., et al. (2024). 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. Environmental Science and Pollution Research, , 1–4.
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Ola, I., Drebenstedt, C., Burgess, R. M., Mensah, M., Hoth, N., Okoroafor, P., et al. (2024). Assessing petroleum contamination in parts of the Niger Delta based on a sub-catchment delineated field assessment. Environmental Monitoring and Assessment, 196(6), 585.
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Ola, I., Drebenstedt, C., Burgess, R. M., Allan, I. J., Hoth, N., & Külls, C. (2024). Application of Low Density Polyethylene (LDPE) Passive Samplers for Monitoring PAHs in Groundwater.
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