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Open AccessEvolution characteristics and multi-scenario prediction of habitat quality in Yulin City based on PLUS and InVEST models
As a major energy city in China, Yulin City has faced huge challenges to the ecological environment with its rapid economic development and rapid urbanization. Therefore, it is of great significance to study t...
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Open AccessEvaluation method for ecology-agriculture-urban spaces based on deep learning
With the increasing global population and escalating ecological and farmland degradation, challenges to the environment and livelihoods have become prominent. Coordinating urban development, food security, and...
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Open AccessComprehensive evaluation of the underground space resources in **anyang city
With the rapid development of urbanization and the sharp increase in population, urban land is becoming increasingly scarce. The efficient and reasonable development of the underground space is a crucial way t...
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Article
Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest
According to the characteristic that mineralized-anomaly samples have larger reconstruction errors, traditional autoencoder networks have been applied widely in mineralized-anomaly identification. However, the...
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Article
Mineral Prospectivity Prediction by Integration of Convolutional Autoencoder Network and Random Forest
The convolutional neural networks used widely in mineral prospectivity prediction usually perform mixed feature extraction for multichannel inputs. This results in redundant features and impacts further improv...
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Article
A Convolutional Neural Network of GoogLeNet Applied in Mineral Prospectivity Prediction Based on Multi-source Geoinformation
The traditional convolutional neural networks applied in mineral prospectivity map** usually extract features from only one scale at each iteration, resulting in plain features. To combat this limitation, th...
