首页|New Artificial Intelligence Findings from University of Wisconsin - Milwaukee Described (Understanding Machine Learning Predictions of Wastewater Treatment Plant Sludge With Explainable Artificial Intelligence)
New Artificial Intelligence Findings from University of Wisconsin - Milwaukee Described (Understanding Machine Learning Predictions of Wastewater Treatment Plant Sludge With Explainable Artificial Intelligence)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Artificial Intelligence. According to news reporting out of Milwaukee, Wisconsin, by NewsRx editors, research stated, “This study investigates the use of machine learning (ML) models for wastewater treatment plant (WWTP) sludge predictions and explainable artificial intelligence (XAI) techniques for understanding the imp act of variables behind the prediction. Three ML models, random forest (RF), gradient boosting machine (GBM), and gradient boosting tree (GBT), were evaluated for their performance using statistical indicators.”
MilwaukeeWisconsinUnited StatesNor th and Central AmericaArtificial IntelligenceCyborgsEmerging TechnologiesMachine LearningUniversity of Wisconsin - Milwaukee
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