首页|Memorial University of Newfoundland Researcher Publishes New Study Findings on Machine Learning (Lithofacies Identification from Wire-Line Logs Using an Unsupervised Data Clustering Algorithm)
Memorial University of Newfoundland Researcher Publishes New Study Findings on Machine Learning (Lithofacies Identification from Wire-Line Logs Using an Unsupervised Data Clustering Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in artificial intelligence. According to news reporting fromMemorial University of Newfoundland by NewsRx journalists, research stated, “Stratigraphic identificationfrom wire-line logs and core samples is a common method for lithology classification. This traditionalapproach is considered superior, despite its significant financial cost. Artificial neural networks and machinelearning offer alternative, cost-effective means for automated data interpretation, allowing geoscientists toextract insights from data.”
Memorial University of NewfoundlandAlgorithmsCyborgsData ClusteringEmerging TechnologiesMachine Learning
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