Niantian Lin

According to our database, Niantian Lin authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Quantifying Uncertainty in Gas-Bearing Prediction Using Multicomponent Seismic Data Derived From a Parallel Linked Bayesian Neural Network.

Jiuqiang Yang, Chenguang Liu, Xishuang Li, Yanliang Pei, Niantian Lin

IEEE Trans. Geosci. Remote. Sens., 2025

Bathymetric Prediction and Uncertainty Quantification Using a Bayesian Deep Neural Network Based on Gravity Data.

Jiuqiang Yang, Chenguang Liu, Yanliang Pei, Pengyao Zhi, Niantian Lin, Long Ma

IEEE Geosci. Remote. Sens. Lett., 2025

2023

A Parametric Study of MPSO-ANN Techniques in Gas-Bearing Distribution Prediction Using Multicomponent Seismic Data.

Jiuqiang Yang, Niantian Lin, Kai Zhang, Lingyun Jia, Dong Zhang, Guihua Li, Jinwei Zhang

Remote. Sens., August, 2023

An Intelligent Approach for Gas Reservoir Identification and Structural Evaluation by ANN and Viterbi Algorithm - A Case Study From the Xujiahe Formation, Western Sichuan Depression, China.

Kai Zhang, Niantian Lin, Jiuqiang Yang, Dong Zhang, Yan Cui, Zhiwei Jin

IEEE Trans. Geosci. Remote. Sens., 2023

Gas-Bearing Prediction Using a Hybrid Method Based on a Combination of PCA-FastICA and CNN With the Attention Mechanism.

Jiuqiang Yang, Niantian Lin, Kai Zhang, Chao Fu, Gaoping Tian

IEEE Trans. Geosci. Remote. Sens., 2023

An Improved Small-Sample Method Based on APSO-LSSVM for Gas-Bearing Probability Distribution Prediction From Multicomponent Seismic Data.

Jiuqiang Yang, Niantian Lin, Kai Zhang, Chao Fu, Yan Cui, Guihua Li

IEEE Geosci. Remote. Sens. Lett., 2023