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Pressure Vessel Design Simulation: Implementing of Multi-Swarm Particle Swarm Optimization., , и . ICSCA, стр. 120-124. ACM, (2019)Development of optimized machine learning models for predicting flat plate solar collectors thermal efficiency associated with Al2O3-water nanofluids., , , , , , , , и . Eng. Appl. Artif. Intell., (2024)Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models., , , , , , и . IEEE Access, (2022)Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods., , , , и . Eng. Comput., 37 (4): 3455-3471 (2021)Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete., , , , , , и . Eng. Appl. Artif. Intell., (2024)Designing Low-Cost Capacitive-Based Soil Moisture Sensor and Smart Monitoring Unit Operated by Solar Cells for Greenhouse Irrigation Management., , , , , и . Sensors, 21 (16): 5387 (2021)Awareness requirement and performance management for adaptive systems: a survey., , , , , , и . CoRR, (2023)Comparison of different optimized machine learning algorithms for daily river flow forecasting., , , , , и . Earth Sci. Informatics, 16 (1): 533-548 (марта 2023)Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction., , , , и . Neural Comput. Appl., 34 (1): 515-533 (2022)Non-tuned machine learning approach for hydrological time series forecasting., , , , , и . Neural Comput. Appl., 30 (5): 1479-1491 (2018)