首页|New Machine Learning Study Results Reported from Cadi Ayyad University (Predicti ve Insights for Copper Recovery: a Synergistic Approach Integrating Variability Data and Machine Learning In the Geometallurgical Study of the Tizert Deposit, . ..)
New Machine Learning Study Results Reported from Cadi Ayyad University (Predicti ve Insights for Copper Recovery: a Synergistic Approach Integrating Variability Data and Machine Learning In the Geometallurgical Study of the Tizert Deposit, . ..)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Marrakech, Moroc co, by NewsRx journalists, research stated, “This work involved theapplication of machine learning (ML) to predict copper recovery through variability data in the context ofthe geometallurgical study of the Tizert deposit in Morocco. For this purpose, geological and metallurgicalvariability investigations were condu cted on drilling samples from Tizert ore, leading to the consolidationof a robu st database for ML algorithms.”
MarrakechMoroccoAfricaCyborgsEme rging TechnologiesMachine LearningCadi Ayyad University
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