首页|Research from Islamic Azad University in the Area of Machine Learning Published [Predicting river water quality: An imposing engagement betwe en machine learning and the QUAL2Kw models (case study: Aji-Chai, river, Iran)]
Research from Islamic Azad University in the Area of Machine Learning Published [Predicting river water quality: An imposing engagement betwe en machine learning and the QUAL2Kw models (case study: Aji-Chai, river, Iran)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting out of Tabriz, Iran, by NewsRx editors , research stated, “Rivers play an essential role in supplying high-quality wate r to diverse sectors.” Funders for this research include Islamic Azad University Tabriz Branch. The news journalists obtained a quote from the research from Islamic Azad Univer sity: “Understanding water quality indicators and systematic monitoring is cruci al for water resources management and macro-level decision-making. In this conte xt, the forthcoming article delves into the simulation of three crucial paramete rs, namely EC, SAR, and TDS, through a reach of 106 km length along the Aji-Chai River, Iran, encompassing stations from Markid, Khajeh, Akhola, and Serin Dizj. This simulation employs three advanced machine learning models: SVM, GEP, and M LP, in conjunction with the QUAL2Kw mathematical simulator. The study meticulous ly evaluates the performance of these models using four key indices: RMSE, MAE, R2, and DDR. The calculated results unequivocally establish the superiority of t he SVM in simulating three essential water quality parameters across all station s. This is supported by consistently high R2 and DDR values, along with low RMSE and MAE values.”
Islamic Azad UniversityTabrizIranA siaCyborgsEmerging TechnologiesMachine LearningMathematics
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