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Identification of Mine Explosions Using Manifold Learning Techniques
Itay Niv, Yuri Bregman,
Neta Rabin
*
*
Corresponding author for this work
School of Electrical Engineering
Department of Industrial Engineering
Soreq Nuclear Research Center
Research output
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Contribution to journal
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Article
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peer-review
4
Scopus citations
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Keyphrases
Manifold Learning
100%
Learning Techniques
100%
Seismic Data
100%
Mine Disaster
100%
Fully-automatic
50%
Deep Learning Methods
50%
Manual Analysis
50%
High-dimensional Data
50%
Large Set
50%
Challenging Tasks
50%
Compact Representation
50%
Different Datasets
50%
Seismic Events
50%
Low-dimensional Space
50%
Diffusion Maps
50%
Data Fusion Method
50%
Seismic Recordings
50%
Automatic Identification
50%
Seismicity
50%
Three-channel
50%
Seismic Noise
50%
Mine Blast
50%
Mine Activities
50%
Engineering
Learning Technique
100%
Mine Explosions
100%
Dimensional Space
33%
Compact Representation
33%
Dimensional Data
33%
Seismicity
33%
Fusion Technique
33%
Based Data Fusion
33%
Automatic Manner
33%
Deep Learning Method
33%
Earth and Planetary Sciences
Seismic Data
100%
Computational Method
50%
Seismicity
50%
Multisensor Fusion
50%