首页|Research on Machine Learning Described by a Researcher at University of Trento ( Domain adaptation through active learning strategies for anomaly classification in wastewater treatment plants)
Research on Machine Learning Described by a Researcher at University of Trento ( Domain adaptation through active learning strategies for anomaly classification in wastewater treatment plants)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Trento, Italy, by News Rx correspondents, research stated, “ABSTRACT: The increasing use ofintermitten t aeration controllers in wastewater treatment plants (WWTPs) aims to reduce aer ation costsvia continuous ammonia and oxygen measurements but faces challenges in detecting sensor and processanomalies.”
University of TrentoTrentoItalyEur opeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
