Jia-Wei Guo

Volcanic Lithology Identification via Improved Random Forest with Conventional-Elemental-Logging Feature Interpolation: A Case of Block KL16-1

Conventional logging and elemental logging-based lithology identification for volcanic buried-hill reservoirs is hampered by overlapping logging responses, low vertical resolution of elemental measurements, and inter-sample class imbalance, which lead to unsatisfactory classification accuracy. Existing cross-plot empir...

Seeing With Words: Autocaption-Guided Graph Transformer for Remote Sensing Segmentation

Semantic segmentation of remote sensing (RS) imagery is a cornerstone of geospatial analysis, which supports applications, such as land cover mapping, urban planning, and environmental monitoring. Despite significant progress with neural networks, existing approaches remain limited by their reliance on visual features...

The reduction of nitrogen fertilizer combined with humic acid application improves potato yield by modulating soil microbial community structure in arid and semi-arid regions

Introduction Humic acid is a biostimulant with considerable potential to reduce nitrogen (N) fertilizer input and improve fertilizer use efficiency. However, the mechanisms by which it regulates soil nutrient supply, N utilization, and yield formation in potato remain unclear. Methods A single-site, single-season field...

Intelligent Pavement Recognition and Automated Repair Algorithm Based on LU-Net and DP

Results show that the LU-Net segmentation model and DP algorithm can significantly save operation time while ensuring accuracy, and the results show that the LU-Net segmentation model and DP algorithm can significantly save operation time while ensuring accuracy.

An intelligent pavement crack recognition and automatic repair algorithm based on improved DeepLabv3+ and greedy algorithm

This paper integrates deep learning with an improved optimization algorithm to present an integrated solution for one - step road crack repair, and showed that the IGA outperformed the other two in optimization and efficiency.

Source apportionment and health risk assessment of arsenic contamination in groundwater in Xinxiang city based on the PCA-PMF model and WQI method