Water Quality Estimation from IoT Sensors Using a Meta-ensemble
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-34171-7_32
Reference46 articles.
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3. Jhaveri, R. H. et. al.: A review on machine learning strategies for real-world engineering applications. Mobile Inf. Syst. (2022). https://doi.org/10.1155/2022/1833507
4. Vonitsanos, G., Panagiotakopoulos, T., Kanavos, A., Tsakalidis, A.: Forecasting air flight delays and enabling smart airport services in apache spark. In: Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops, pp. 407–417 (2021). https://doi.org/10.1007/978-3-030-79157-5_33
5. Panagiotakopoulos, T., Kotsiantis, S., Kostopoulos, G., Iatrellis, O., Kameas, A.: Early dropout prediction in MOOCs through supervised learning and hyperparameter optimization. Electronics 10(14), 1701 (2021). https://doi.org/10.3390/electronics10141701
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