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Quantifying operational uncertainties in mining machinery fleet productivity using a stochastic Overall Equipment Effectiveness (OEE) analysis
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RESOURCES POLICY
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An intelligent approach to predict the drilling penetration rate using acoustic emission technique (AET)
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Scientific Reports
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Development of an Innovative Shape Factor for Dimension Stone Blocks in Stone Quarries: A Geotechnical Approach
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ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
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رائه الگوي انفجار بهينه براي دستيابي به ابعاد خردايش مطلوب با استفاده از تركيبي از شبكه ي عصبي و الگوريتم هاي بهينه سازي
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Construction Science and Technology
علوم و فنون سازندگي |
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The use of acoustic emission technique in MWD for mine to mill approach as a smart tool for sustainable mining
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Scientific Reports
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Enhancing sustainability in mining by reducing hauling energy consumption through optimization of distance and slope with semi-mobile in-pit crushers and conveyors
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Scientific Reports
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Effect of Soil Physical Parameters and Foam Injection Ratio on Soil Shear Strength in EPB Tunneling
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Journal of Mining and Environment
محيط و معدن |
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Experimental Investigation and Optimization of the Penetration Rate of Large-Scale DTH Drilling in Copper Mines
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Eurasian Mining
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The role of different explosives in reducing energy and emissions in mining comminution for sustainable improvement
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ENERGY
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Real-time monitoring of disc cutter wear in tunnel boring machines: A sound and vibration sensor-based approach with machine learning technique
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Journal of Rock Mechanics and Geotechnical Engineering
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A smart look at monitoring while drilling (MWD) and optimizing using acoustic emission technique (AET)
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Scientific Reports
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Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
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10.1007/s13369-024-09321-x |
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ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
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Developing a New Model for Predicting Specific Energy (SE) for Economic and Environmental Optimization of the Diamond Wire Cutting Operation
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Journal of Mining and Environment
محيط و معدن |
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A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
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Mining Informational and Analytical Bulletin
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Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models
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Scientific Reports
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Geological investigations and production planning by identification of the discontinuities and rock mass blocks in dimension stone quarries: a case study
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Rudarsko-Geolosko-Naftni Zbornik
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