Optimized Dissolved Oxygen Prediction Using Genetic Algorithm and Bagging Ensemble Learning for Smart Fish Farm-Reference-Cited by-同舟云学术

Optimized Dissolved Oxygen Prediction Using Genetic Algorithm and Bagging Ensemble Learning for Smart Fish Farm

Published:2023-07-01 Issue:13 Volume:23 Page:15153-15164
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Khan Prince Waqas¹^ORCID,Byun Yung Cheol²^ORCID

Affiliation:

1. School of Computing, Gachon University, Seongnam-si, South Korea

2. Department of Computer Engineering, Major of Electronic Engineering, Institute of Information Science and Technology, Jeju National University, Jeju, South Korea

Funder

Ministry of Small and Medium-Sized Enterprises (SMEs) and Startups (MSS), South Korea, through the “Regional Specialized Industry Development Plus Program (Research and Development),”

Korea Technology and Information Promotion Agency for SMEs

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10168680/10137426.pdf?arnumber=10137426

Reference47 articles.

1. A hybrid XGBoost-ISSA-LSTM model for accurate short-term and long-term dissolved oxygen prediction in ponds

2. What Is a Savitzky-Golay Filter? [Lecture Notes]

3. A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River

4. Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting

5. Multistrategy ensemble learning: reducing error by combining ensemble learning techniques

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interactive 3D Vase Design Based on Gradient Boosting Decision Trees;Algorithms;2024-09-11

2. Multi-step ahead dissolved oxygen concentration prediction based on knowledge guided ensemble learning and explainable artificial intelligence;Journal of Hydrology;2024-06

3. On the Accuracy and Efficiency of Received Signal Strength Modelling for a Forest Environment;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

4. AquaticSafe Sentinel: An Edge-Based IoT-Powered Predictive System for Continuous Dissolved Oxygen Surveillance in Aquaculture;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

5. Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition;Energy;2024-04