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Intelligent Lithology Identification Methods for Rock Images Based on Object Detection
Lithology identification is a crucial step in geological research. In recent years, the development of artificial intelligence technologies has...
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Lithology identification based on interpretability integration learning
An interpretability model for intelligent lithology identification is proposed, which utilizes Ensemble Learning Stacking, Permutation Importance...
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Lithology identification technology of logging data based on deep learning model
Traditional machine learning models have mainly been used to study geological logging data of a single sample point, ignoring the fact that logging...
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Automatic seismic fault identification based on an improved U-Net network
Fault identification is a key step in structural interpretation. Traditional fault identification methods are easily affected by the seismic quality...
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Identification of Fishing State of Purse Seine Fishing Vessels Based on Multi-Indices
With the popularization of vessel satellite AIS (automatic identification system) equipment and the continuous improvement of the AIS data’s...
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Detection-only versus detection and identification of model misspecifications
It is common practice to use the well-known concept of the minimal detectable bias (MDB) to assess the performance of statistical testing procedures....
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Identification of sand layers based on key drilling parameters
Sand layer sampling is important in water conservancy and hydropower exploration, and the accurate identification of sand layers is the premise for...
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Analysis of Fault Capability of Seismic Data Identification
With the continuous improvement of exploration technology, the oil and gas reservoirs formed by small fault blocks and their hidden traps have become... -
Water source identification in mines combining LIF technology and ResNet
The problem of mine water source has always been an important hidden danger in mine safety production. The water source under the mine working face...
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A Novel Disturbance Stress Direction Identification Method of Rock Mass Using Acoustic Parameters
The identification of the disturbance stress direction of rock mass is crucial for safe and efficient production in underground engineering. This...
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Application of dynamic weight in coal mine water inrush source identification
Water inrush accidents in coal mining seriously restrict production activities and accurately identifying the source of inrush water can effectively...
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Hyperspectral remote sensing identification of marine oil emulsions based on the fusion of spatial and spectral features
Marine oil spill emulsions are difficult to recover, and the damage to the environment is not easy to eliminate. The use of remote sensing to...
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Storm identification for high-energy wave climates as a tool to improve long-term analysis
Coastal storms can cause erosion and flooding of coastal areas, often accompanied by significant social-economic disruption. As such, storm...
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Road crash zone identification and remedial measures using GIS
According to the World Bank Report 2020, there is one fatal road crash every four minutes globally. Loss of lives and limbs seriously hampers the...
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A borehole clustering based method for lithological identification using logging data
In recent years, geoscientists have been employing machine learning techniques to automate lithological identification by integrating well logging...
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Spatiotemporal subsidence feature decomposition and hotspot identification
Subsidence occurs from excessive groundwater drawdown, but varies in response to underlying hydrogeologic conditions, land use factors, and...
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Applications of QGIS and machine learning for road crash spot identification
Road intersections or linear segments of roads with frequent road crashes are termed as 'blackspots.' There are many blackspot identification...
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Lithology Identification of UAV Oblique Photography Images Based on Semantic Segmentation Neural Network Algorithm
Intelligent identification of the different lithology of outcrops has been a major research challenge in the field of geology. The manual...
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Field tests for the identification of silts
Accurately identifying soil texture and understanding soil behaviour in terms of plasticity is a crucial initial step in properly characterizing a...
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Intelligent rock fracture identification based on image semantic segmentation: methodology and application
In order to realize low-cost, fast, and accurate fracture identification in lining quality inspection and underground engineering stability...