... Abstract In geological surveys, it is necessary to employ geological experts in determining rock samples correctly, this is however very costly and time consuming. Sinaice et al. (2020) demonstrated how employing hyperspectral data of igneous rocks and machine learning can be used...

... lithology rotary percussion drilling architecture machine learning convolution lithology identification prediction accuracy classification accuracy neural network accuracy drilling cnn sery vibration marble convolutional neural network The 5th International Workshop on Rock Mechanics...

... data for intricate fracture geometry. sedimentary rock geology rock type reservoir geomechanics segmentation geologist asia government element machine learning cement grout fusionnet rock mechanic symposium proceedings intricate fracture geometry japan government upstream oil...

... volcano groundwater pyroclastic flow deposit geology machine learning komatsu jigoku lava akagawa onsen japan government artificial intelligence water-rock interaction groundwater quality ion concentration mechanism The 5th International Workshop on Rock Mechanics and Engineering Geology...

... also analyzed using a decision tree algorithm and considering variables from the VRS and RMR systems. volcanic rock characterization geologist volcanology asia government human computer interaction artificial intelligence portugal government machine learning geological subdiscipline...

..., the ability to reduce the dimensions of hyperspectral layers, thereby making it possible to accurately classify rocks with fewer spectral bands. geology machine learning classification geologist artificial intelligence dimensionality reduction nca reduction multispectral imaging svm...

... accuracy asia government geologist deep learning serpentinite rock-identification technique wavelength confusion matrix igneous rock machine learning classification model greenstone greenstone 90 cuttings obtained spectrum hyperspectral camera artificial intelligence cuttings excavation...

... on their matrix rock, making the use of existing geomechanical classifications inadequate. This work represents a first step in the development of a geomechanical classification specific to volcanic massifs, accounting for all the properties that actually condition their behavior. machine learning text...