IDENTIFICATION OF RABAK FLOW (RIP CURRENT) FROM DRONE IMAGE USING CONVOLUTIONAL NEURAL NETWORK (CNN) METHOD IN PALABUHANRATU, SUKABUMI
Sukabumi Regency is one of the regencies in Indonesia which is endowed with beautiful and attractive coastal areas and is one of the mainstay sectors of tourism that supports the regional economic development of Sukabumi Regency. However, rip currents are encountered on several beaches, namely cu...
Saved in:
Main Author: | Fikri Aji Kusuma, Titis |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/50217 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Identification of drone thermal signature by convolutional neural network
by: Chong, Yu Quan, et al.
Published: (2021) -
Understanding of Convolutional Neural Network (CNN): A Review
by: Purwono, Purwono, et al.
Published: (2022) -
PENILAIAN BAHAYA RIP CURRENT TERHADAP KESELAMATAN WISATAWAN DI TELUK PELABUHAN RATU, SUKABUMI
by: Saputra, Ari -
Low power convolutional neural network (CNN)
by: Lim, Wu Cong
Published: (2019) -
ANALISIS RISIKO BENCANA TSUNAMI DI PALABUHANRATU, SUKABUMI, JAWA BARAT
by: Mubinan, Fathan