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Using Telemetry to Assess Operator Effects on Hydraulic Shovel Energy Efficiency. Part I: Algorithms for Extracting Explanatory Variables from Sensor Data.

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Title: Using Telemetry to Assess Operator Effects on Hydraulic Shovel Energy Efficiency. Part I: Algorithms for Extracting Explanatory Variables from Sensor Data.
Authors: Aluko, Noah Adekunle1 (AUTHOR) naac6w@mst.edu, Awuah-Offei, Kwame1 (AUTHOR) kwamea@mst.edu
Source: Mining, Metallurgy & Exploration. Dec2024, Vol. 41 Issue 6, p2943-2958. 16p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Mining%2C+Metallurgy+%26+Exploration%22">Mining, Metallurgy & Exploration</searchLink>. Dec2024, Vol. 41 Issue 6, p2943-2958. 16p.
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        Value: 10.1007/s42461-024-01104-0
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      – Code: eng
        Text: English
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        StartPage: 2943
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      – TitleFull: Using Telemetry to Assess Operator Effects on Hydraulic Shovel Energy Efficiency. Part I: Algorithms for Extracting Explanatory Variables from Sensor Data.
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              Text: Dec2024
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