A Sensor Data Prediction and Early-Warning Method for Coal Mining Faces Based on the MTGNN-Bayesian-IF-DBSCAN Algorithm

A Sensor Data Prediction and Early-Warning Method for Coal Mining Faces Based on the MTGNN-Bayesian-IF-DBSCAN Algorithm

In the context of intelligent coal mine safety monitoring, an integrated prediction and early-warning method named MTGNN-Bayesian-IF-DBSCAN (Multi-Task Graph Neural Network–Bayesian Optimization–Isolation Forest–Density-Based Spatial Clustering of Applications with Noise) is proposed to address the...

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Bibliographic Details
Main Authors: Mingyang Liu, Xiaodong Wang, Wei Qiao, Hongbo Shang, Zhenguo Yan, Zhixin Qin
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
gas concentration prediction
spatiotemporal data fusion
graph neural network
Bayesian optimization
anomaly detection
Online Access:https://www.mdpi.com/1424-8220/25/15/4717
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