Cargando…

FDNet: Knowledge and Data Fusion-Driven Deep Neural Network for Coal Burst Prediction

Coal burst prediction is an important research hotspot in coal mine production safety. This paper presents FDNet, which is a knowledge and data fusion-driven deep neural network for coal burst prediction. The main idea of FDNet is to extract explicit features based on the existing mine seismic physi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cao, Anye, Liu, Yaoqi, Yang, Xu, Li, Sen, Liu, Yapeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030050/ https://www.ncbi.nlm.nih.gov/pubmed/35459073 http://dx.doi.org/10.3390/s22083088

Ejemplares similares

FDNet: An end-to-end fusion decomposition network for infrared and visible images
por: Di, Jing, et al.
Publicado: (2023)

Effects of Proximate Analysis on Coal Ash Fusion Temperatures: An Application of Artificial Neural Network
por: Onifade, Moshood, et al.
Publicado: (2023)

Investigation on the pore characteristics of coal specimens with bursting proneness
por: Li, Yutao, et al.
Publicado: (2019)

Evaluation of coal seam floor water bursting in multi-aquifer Gequan coal mine, China
por: Lv, Situ, et al.
Publicado: (2022)

Multi-Scale Feature Fusion for Coal-Rock Recognition Based on Completed Local Binary Pattern and Convolution Neural Network
por: Liu, Xiaoyang, et al.
Publicado: (2019)

Convolutional Neural Network-Based ECG-Assisted Diagnosis for Coal Workers
por: Wang, Yujia, et al.
Publicado: (2022)

Deep-Data-Driven Neural Networks for COVID-19 Vaccine Efficacy
por: Torku, Thomas K., et al.
Publicado: (2021)

Focal Mechanism and Source Parameters Analysis of Mining-Induced Earthquakes Based on Relative Moment Tensor Inversion
por: Cao, Anye, et al.
Publicado: (2022)

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
por: Singh, Jaswinder, et al.
Publicado: (2019)

Modeling Dynamic Gas Desorption in Coal Reservoir Rehabilitation: Molecular Simulation and Neural Network Approach
por: Deng, Sen, et al.
Publicado: (2022)

Innovative Deep Neural Network Fusion for Pairwise Translation Evaluation
por: Mouratidis, Despoina, et al.
Publicado: (2020)

Deep Neural Network-Based Fusion Localization Using Smartphones
por: Yan, Suqing, et al.
Publicado: (2023)

Bursting Liability Criteria of Coal Mass Based on Energy Storage and Release Characteristics
por: Zhu, Zhijie, et al.
Publicado: (2023)

FEBDNN: fusion embedding-based deep neural network for user retweeting behavior prediction on social networks
por: Wang, Lidong, et al.
Publicado: (2022)

Information Encoding in Bursting Spiking Neural Network Modulated by Astrocytes
por: Stasenko, Sergey V., et al.
Publicado: (2023)

Multi-Fidelity Aerodynamic Data Fusion with a Deep Neural Network Modeling Method
por: He, Lei, et al.
Publicado: (2020)

On the feasibility of coal-driven power stations
por: Frisch, O R
Publicado: (0000)

Estimation of Coal’s Sorption Parameters Using Artificial Neural Networks
por: Skiba, Marta, et al.
Publicado: (2020)

Noise-induced network bursts and coherence in a calcium-mediated neural network
por: Yu, Na, et al.
Publicado: (2021)

Prediction of microseismic events in rock burst mines based on MEA-BP neural network
por: Lan, Tianwei, et al.
Publicado: (2023)

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
por: Hicks, Steven A., et al.
Publicado: (2021)

Coal Wall and Roof Segmentation in the Coal Mine Working Face Based on Dynamic Graph Convolution Neural Networks
por: Xing, Zhizhong, et al.
Publicado: (2021)

A Deep Learning Model for Fault Diagnosis with a Deep Neural Network and Feature Fusion on Multi-Channel Sensory Signals
por: Ye, Qing, et al.
Publicado: (2020)

Bursts of gravitational waves driven by neutrino oscillations
por: Cuesta, H J M
Publicado: (2000)

Picosecond metrology of laser-driven proton bursts
por: Dromey, B., et al.
Publicado: (2016)

Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform
por: Li, Guoqiang, et al.
Publicado: (2019)

An optimized deep convolutional neural network for adaptive learning using feature fusion in multimodal data
por: Gupta, Swadha, et al.
Publicado: (2023)

A Medical Image Fusion Method Based on SIFT and Deep Convolutional Neural Network in the SIST Domain
por: Wang, Lei, et al.
Publicado: (2021)

Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge
por: Zhang, Xinyuan, et al.
Publicado: (2018)

Bursting Reverberation as a Multiscale Neuronal Network Process Driven by Synaptic Depression-Facilitation
por: Dao Duc, K., et al.
Publicado: (2015)

A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis
por: Hoang, Duy Tang, et al.
Publicado: (2021)

Study on optimization of layout parameters of high-level boreholes in Pingdingshan coal mine
por: Wang, Yapeng, et al.
Publicado: (2023)

Attribution-Driven Explanation of the Deep Neural Network Model via Conditional Microstructure Image Synthesis
por: Liu, Shusen, et al.
Publicado: (2022)

Numerical simulation of induced cutting in deep coal
por: Liu, Si-fei, et al.
Publicado: (2019)

Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network
por: Li, Hongmei, et al.
Publicado: (2019)

Data driven theory for knowledge discovery in the exact sciences with applications to thermonuclear fusion
por: Murari, A., et al.
Publicado: (2020)

Suppression Characteristics and Mechanism of Molasses Solution on Coal Dust: A Low-Cost and Environment-Friendly Suppression Method in Coal Mines
por: Liu, Jianguo, et al.
Publicado: (2022)

Prediction method of coal mine gas occurrence law based on multi-source data fusion
por: Jiao, Huice, et al.
Publicado: (2023)

An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis
por: Li, Shaobo, et al.
Publicado: (2017)

Evolutionary algorithm search for connectivity patterns conducive to bursting in respiratory neural networks
por: Robb, Daniel T, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_4sfmlqd743dpvquiihp3a72itq