首页|Studies from Mepco Schlenk Engineering College Further Understanding of Machine Learning (Intelligent Water Quality and Level Detection System Using Hybrid Clas sifier)
Studies from Mepco Schlenk Engineering College Further Understanding of Machine Learning (Intelligent Water Quality and Level Detection System Using Hybrid Clas sifier)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news originating from Sivakasi, India, by NewsRx correspondents, research stated, “The use of a water storage system to store and distribute water is a widely adopted approach in numerous households.The issue of assessing the water quality in the tank prior to its distribution to househol ds remains unresolved.The advanced method of monitoring and managing water resou rces is through the implementation of the intelligent system for detecting water quality and level is proposed in this paper. The proposed approach employs hybr id classifiers which integrate three machine learning algorithms to determine the quality of the water according to the sensed metrics such as turbidity, pH level, and total dissolved solids.”
SivakasiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningMepco Schlenk Engineering College
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