eprintid: 57093
rev_number: 7
eprint_status: archive
userid: 82
dir: disk0/00/05/70/93
datestamp: 2025-12-10 04:52:50
lastmod: 2025-12-10 04:52:50
status_changed: 2025-12-10 04:52:50
type: article
metadata_visibility: show
creators_name: Arshella, Ika Arva
title: Improving the Accuracy of Prediction of Dissolved Oxygen and Nitrate Level Using LSTM with K-Means Clustering and Spearman Analysis
ispublished: pub
subjects: TK
divisions: dep_ee
full_text_status: public
date: 2025
date_type: published
publication: International Journal of Applied Sciences and Smart Technologies
refereed: TRUE
citation:   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.       
document_url: http://repository./57093/1/13482_ijasst%2BIKA%2B2025%2Bfull.pdf