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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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Greene, R., Timms, W., Rengasamy, P., Arshad, M., & Cresswell, R. (2016). Soil and Aquifer Salinization: Toward an Integrated Approach for Salinity Management of Groundwater. In A. J. Jakeman, O. Barreteau, R. J. Hunt, J. - D. Rinaudo, & A. Ross (Eds.), Integrated Groundwater Management: Concepts, Approaches and Challenges (pp. 377–412). Cham: Springer International Publishing.
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Ma*, Y. Z. (2019). Quantitative geosciences: Data analytics, geostatistics, reservoir characterization and modeling. Springer International Publishing.
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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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