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Publications by Kwang-Seok Moon
A Deep Feature Learning Method for Drill Bits Monitoring Using the Spectral Analysis of the Acoustic Signals
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
Related publications
Study on the Stress and Strain of the Drill Bits Using the Finite Element Method
Spectral–spatial Feature Learning for Hyperspectral Imagery Classification Using Deep Stacked Sparse Autoencoder
Journal of Applied Remote Sensing
Earth
Planetary Sciences
Method for Detecting the Inside of Coke Drum Using Acoustic Signals
Journal of Sensors
Control
Systems Engineering
Instrumentation
Electrical
Electronic Engineering
Development of the Method for Decomposition of Superpositions of Unknown Pulsed Signals Using the Secondorder Adaptive Spectral Analysis
EasternEuropean Journal of Enterprise Technologies
Control
Electronic Engineering
Industrial
Mechanical Engineering
Energy Engineering
Applied Mathematics
Systems Engineering
Manufacturing Engineering
Computer Science Applications
Electrical
Innovation
Management of Technology
Power Technology
Drill Wear Monitoring Based on Current Signals
Wear
Mechanics of Materials
Surfaces
Condensed Matter Physics
Interfaces
Materials Chemistry
Films
Coatings
Decoding EEG and LFP Signals Using Deep Learning
Traffic Accident Monitoring System Using Deep Learning
International Journal of Engineering and Technology(UAE)
Architecture
Hardware
Engineering
Chemical Engineering
Biotechnology
Environmental Engineering
Computer Science
News Feature: What Are the Limits of Deep Learning?
Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
Monitoring of Underdeck Corrosion by Using Acoustic Emission Method
Polish Maritime Research
Ocean Engineering
Mechanical Engineering
