首页|Reports from University of Engineering and Technology Advance Knowledge in Machi ne Learning (AI for clean water: efficient water quality prediction leveraging m achine learning)
Reports from University of Engineering and Technology Advance Knowledge in Machi ne Learning (AI for clean water: efficient water quality prediction leveraging m achine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Lahore, Pakist an, by NewsRx editors, research stated, "ABSTRACT: Water is one of the most crit ical resources for maintaining life. Although it makes upto 70% of the earth's surface but only a small amount of it is usable." The news editors obtained a quote from the research from University of Engineeri ng and Technology: "Since water is used for a variety of functions, its quality must be determined before usage. The rapid increase of the world's population ha s also had a significant influence on the environment, particularly on water qua lity. The quality of water has been deteriorating in recent years due to various pollutants. To control the water pollution, modeling and predicting the water q uality has become a crucial need. In this work, we propose a machine learning (M L)-based model to predict and classify the water quality. The results from six d ifferent ML models are analyzed for accuracy, precision, recall, and F1 score as performance measures."
University of Engineering and TechnologyLahorePakistanAsiaCyborgsEmerging TechnologiesMachine Learning
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