首页|Kristianstad University Researchers Report Recent Findings in Machine Learning ( Comparative Evaluation of Water Level Forecasting Using IoT Sensor Data: Hydrody namic Model SWMM vs. Machine Learning Models Based on NARX Framework)
Kristianstad University Researchers Report Recent Findings in Machine Learning ( Comparative Evaluation of Water Level Forecasting Using IoT Sensor Data: Hydrody namic Model SWMM vs. Machine Learning Models Based on NARX Framework)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting originating from Kri stianstad, Sweden, by NewsRx correspondents, research stated, “This study evalua tes the accuracy of water level forecasting using two approaches: the hydrodynam ic model SWMM and machine learning (ML) models based on the Nonlinear Autoregres sive with Exogenous Inputs (NARX) framework.”
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