4 papers
Neural Tucker Convolutional Network for Water Quality Analysis
Hongnan Si, Tong Li, Yujie Chen +1
Water quality monitoring is a core component of ecological environmental protection. However, due to sensor failure or other inevitable factors, data missing often exists in long-t…
A Nonlinear Low-rank Representation Model with Convolutional Neural Network for Imputing Water Quality Data
Xin Liao, Bing Yang, Cai Yu
The integrity of Water Quality Data (WQD) is critical in environmental monitoring for scientific decision-making and ecological protection. However, water quality monitoring system…
Adaptive Cubic Regularized Second-Order Latent Factor Analysis Model
Jialiang Wang, Junzhou Wang, Xin Liao
High-dimensional and incomplete (HDI) data, characterized by massive node interactions, have become ubiquitous across various real-world applications. Second-order latent factor mo…
A Causal Convolutional Low-rank Representation Model for Imputation of Water Quality Data
Xin Liao, Bing Yang, Tan Dongli +1
The monitoring of water quality is a crucial part of environmental protection, and a large number of monitors are widely deployed to monitor water quality. Due to unavoidable facto…