Monitoring and Forecasting Water Environment Parameters for Smart Aquaculture Using LSTM-Reference-Cited by-同舟云学术

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Monitoring and Forecasting Water Environment Parameters for Smart Aquaculture Using LSTM

Published:2022-12-20 Issue: Volume: Page:
ISSN:
Container-title:2022 RIVF International Conference on Computing and Communication Technologies (RIVF)
language:
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Author:

Huu Phat Nguyen¹,Minh Quang Tran²,Dang Dinh Dang¹,Khai Minh Nguyen³,Trong Hieu Nguyen⁴,Ngoc Pha Pham⁴,Minh Quang Tran⁵

Affiliation:

1. Hanoi University of Science and Technology,Hanoi,Vietnam

2. Hanoi University of Science and Technology, Hanoi, Vietnam

3. Salisbury School,Connecticut,United States

4. National Institute of Patent and Technology Exploitation (NIPTECH),Hanoi,Vietnam

5. HoChiMinh City University of Technology,HoChiMinh,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10013784/10013785/10013892.pdf?arnumber=10013892

Reference19 articles.

1. Development of smart aquaculture farm management system using IoT and AI-based surrogate models

2. A Forecasting Model for Monitoring Water Quality in Aquaculture and Fisheries IoT Systems

3. Aquaculture Environment Prediction Based on Improved LSTM Deep Learning Model

4. Water Quality Prediction for Smart Aquaculture Using Hybrid Deep Learning Models

5. Prediction of Dissolved Oxygen from pH and Water Temperature in Aquaculture Prawn Ponds

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1. Proposing Smart System for Detecting and Monitoring Vehicle Using Multiobject Multicamera Tracking;International Journal of Digital Multimedia Broadcasting;2024-04-29

2. Acoustic Signal Processing using Deep Learning for Intelligent Feed Monitoring of Dicentrarchus Labrax;2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS);2023-11-08

3. Wireless Sensor Network to Collect and Forecast Environment Parameters Using LSTM;Intelligence of Things: Technologies and Applications;2023

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