Improving the Accuracy of Prediction of Dissolved Oxygen and Nitrate Level Using LSTM with K-Means Clustering and Spearman Analysis

Arshella, Ika Arva (2025) Improving the Accuracy of Prediction of Dissolved Oxygen and Nitrate Level Using LSTM with K-Means Clustering and Spearman Analysis. International Journal of Applied Sciences and Smart Technologies.

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Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Technology > Department of Electrical Engineering
Depositing User: Maria Yovita Qwartiti
Date Deposited: 10 Dec 2025 04:52
Last Modified: 10 Dec 2025 04:52
URI: http://repository.usd.ac.id/id/eprint/57093

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