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Article
A new approach to dividing the tectonic setting of igneous rocks: machine learning and GeoTectAI software
For a long time, elucidating the tectonic setting of unknown rock samples has been a focal point for geologists. Traditional methodologies for this purpose have been scrutinized increasingly due to their inher...
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Article
Evaluating parameter inversion efficiency in Heterogeneous Groundwater models using Karhunen-Loève expansion: a comparative study of genetic algorithm, ensemble smoother, and MCMC
Groundwater modeling is essential for effective water resource management. However, the heterogeneous distribution of hydrogeological parameters, such as hydraulic conductivity (K), significantly impacts the a...
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Article
Ontology-driven relational data map** for constructing a knowledge graph of porphyry copper deposits
Geoscience knowledge graph has become a popular topic in recent years. A series of studies have been reported to introduce the construction and application of geoscience knowledge graphs from different views. ...
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Article
Surface water extraction from high-resolution remote sensing images based on an improved U-net network model
This paper proposes a surface water extraction method from high-resolution remote sensing images based on an improved U-Net network model. The GF-6 satellite is a significant achievement in optical remote sens...
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Article
A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction
Earth science research has entered a period of major transition centered on building new knowledge systems and driven by the overwhelming availability of vast amounts of data. Obtaining a comprehensive underst...
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Article
Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods
Petroleum reservoirs are often influenced by various flow behaviours including the mixture of gas, water and oil. The gas relative permeability is used to estimate how much of the gas in the reservoir is produ...
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Article
K-Means Featurizer: A booster for intricate datasets
Machine Learning (ML) has become pivotal across various fields, offering innovative solutions to complex data challenges. Professionals typically seek models that excel in both performance and reliability, aim...
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Article
Study and application of deeply optimized neural network in roof stability evaluation
Deep coal seam mining causes instability and collapse of coal seam roof frequently, which seriously affects the safety production and threatens the personal safety of underground personnel. In order to evaluat...
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Article
Intelligent recognition of shale fracture network images based on transfer learning
This study presents an intelligent identification method for shale crack networks based on transfer learning. Focuses on investigating the main physical parameters of shale similar materials based on the simil...
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Article
Modeling the spatiotemporal heterogeneity and changes of slope stability in rainfall-induced landslide areas
Rainfall-induced landslides are sudden, widespread, and prone to cause significant loss of life and property. To explore the heterogeneity and changes in slope stability under extreme rainfall conditions, we t...
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Article
A novel global average temperature prediction model——based on GM-ARIMA combination model
In recent years, under the influence of changes in natural conditions and human social activities, the issue of global warming has become increasingly prominent. So it is crucial to effectively predict the fut...
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Article
Research on time series change point detection and influencing factors under machine learning: based on PM2.5 concentration data in Hefei city
To analyze the temporal variation characteristics of PM2.5 concentration and its influencing factors in Hefei, this paper utilizes mixed frequency data of air pollution and socio-economic development from 2013 to...
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Article
Arbitrary-oriented ship detection based on Kullback-Leibler divergence regression in remote sensing images
Ship detection is a meaningful and challenging task in processing of remote sensing image data. Specifically, the main challenges faced by ship detection in remote sensing images (RSIs) include the variable di...
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Article
Prediction of compressive strength of granite: use of machine learning techniques and intelligent system
The accurate determination of uniaxial compressive strength (UCS) plays a vital role in the initial design phase of rock engineering and rock geotechnics. Traditionally, this assessment entails costly, time-in...
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Article
Enhancing the performance of tunnel water inflow prediction using Random Forest optimized by Grey Wolf Optimizer
In this research, a groundbreaking intelligent model named the GWO-RF model is introduced for the prediction of water inflow (WI) during tunnel construction. WI is a prevalent and intricate occurrence that sig...
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Article
Assessment of the performance of GPS-PWV and rainfall event prediction by using precise products from different analysis centers
Precipitable water vapor (PWV) is a fundamental parameter in measuring atmospheric water vapor. By using the precise point positioning (PPP) technique, the PWV can be retrieved by Global Positioning System (GP...
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Article
Open AccessImplementation and verification of a real-time system for automatic aftershock forecasting in China
In this paper, an automatic aftershock forecasting system for China is presented. Based on a parameter-free historical analogy method, this system can produce short-term aftershock forecast, including seismic ...
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Article
Impervious surface Map** and its spatial–temporal evolution analysis in the Yellow River Delta over the last three decades using Google Earth Engine
The unique geographical location of the land-sea transition makes the ecological environment of the Yellow River Delta very fragile and vulnerable to human activities. As one of the characteristics of anthropo...
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Article
Spatial prediction using random forest spatial interpolation with sample augmentation: a case study for precipitation map**
Spatial prediction(SP) based on machine learning(ML) has been applied to soil water quality, air quality, marine environment, etc. However, there are still deficiencies in dealing with the problem of small sam...
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Article
Forecasting system with sub-model selection strategy for photovoltaic power output forecasting
Photovoltaic power output forecasting has been focused on worldwide due to its environmental benefits and soaring load demand of the electricity market. Many forecasting technologies have been developed to inc...