PERFORMANCE ANALYSIS OF DEEP NEURAL NETWORK FOR AUTOMATIC SEISMIC PHASE PICKING IN THE SUMATRA REGION
A more efficient and automated approach to earthquake data analysis is crucial for reducing intensive manual intervention in determining seismic wave phases. This study focuses on the development and performance analysis of automatic seismic wave phase determination using a deep neural network ap...
Saved in:
Main Author: | Wahyu Saputra, Rifky |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/84759 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Self-learning of a robotic arm to pick up wheel bearings using deep neural networks
by: Mohamed Imran Hussain Mohamed Ishak
Published: (2022) -
Transfer learning for a robotic arm to pick up wheel bearings using deep neural networks
by: Lim, Andres
Published: (2022) -
Using neural networks to pick stocks : a fundamental approach
by: Han, Cheryln Shiao Ian, et al.
Published: (2014) -
Automatic stock picking based on insider trades
by: Arushi, Datta.
Published: (2013) -
Receiver function structure beneath four seismic stations in the Sumatra region
by: Hidayat, Dannie., et al.
Published: (2013)