Utilizing Knowledge Bases in Filtering IoT Data to Predict Algal Blooms-Reference-Cited by-同舟云学术

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Utilizing Knowledge Bases in Filtering IoT Data to Predict Algal Blooms

Published:2023-10-04 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
language:
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Author:

Manik Lindung Parningotan¹,Puspasari Reny²,Riyanto Slamet¹,Albasri Hatim²,Triharyuni Setiya²,Yaman Aris³,Wibowo Sandi⁴

Affiliation:

1. National Research and Innovation Agency,Research Center for Data and Information Sciences,Bandung,Indonesia

2. National Research and Innovation Agency,Research Center for Fisheries,Cibinong,Indonesia

3. National Research and Innovation Agency,Research Center for Artificial Intelligence and Cyber Security,Bandung,Indonesia

4. Center for Fisheries Research, Ministry of Marine Affairs and Fisheries of the Republic of Indonesia,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10285704/10285730/10285783.pdf?arnumber=10285783

Reference20 articles.

1. Pemetaan sebaran klorofil-a menggunakan citra satelit landsat multitemporal di teluk lampung provinsi lampung;gunawan;Maspari Journal,2019

2. Hubungan suhu permukaan laut dan klorofil-a terhadap hasil tangkapan ikan tongkol di teluk lampung;kuswanto;Jurnal Perikanan dan Kelautan,2017

3. The outbreak of Chochlodinium sp.: the red tide maker in the coastal of Lampung Bay

4. HermiT: An OWL 2 Reasoner

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