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首页> 外文期刊>Robotics & Machine Learning Daily News >Researcher at University of Texas Austin Publishes New Data on Machine Learning (Unsupervised Time Series Clustering, Classbased Ensemble Machine Learning, and Petrophysical Modeling for Predicting Shear Sonic Wave Slowness in Heterogeneous …)
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Researcher at University of Texas Austin Publishes New Data on Machine Learning (Unsupervised Time Series Clustering, Classbased Ensemble Machine Learning, and Petrophysical Modeling for Predicting Shear Sonic Wave Slowness in Heterogeneous …)

机译:Researcher at University of Texas Austin Publishes New Data on Machine Learning (Unsupervised Time Series Clustering, Classbased Ensemble Machine Learning, and Petrophysical Modeling for Predicting Shear Sonic Wave Slowness in Heterogeneous …)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intelligence are discussed in a new report. According tonews reporting out of Austin, Texas, by NewsRx editors, research stated, “Shear sonic logs are critical forformation evaluation, quantitative reservoir characterization, and geomechanical studies.”
机译:机器人技术与新闻记者新闻编辑机器学习日常发现人工智能进行了讨论在一份新的报告。奥斯汀,德克萨斯州,NewsRx编辑、研究说:“剪声波日志是至关重要的为特征和地质研究。”

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