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Fixed sherwood duel optimization for time series imputation

Missing values remain a persistent challenge in time-series data, particularly within large-scale monitoring systems where reliable forecasting and evaluation are essential. Incomplete records often arise from irregular reporting, infrastructure limitations, or system failures, leading to biased ana...

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Principais autores: Agung Bella Putra Utama, Aji Prasetya Wibawa, Anik Nur Handayani, Andrew Nafalski
Formato: Artigo
Idioma:Inglês
Publicado em: Universitas Ahmad Dahlan 2026-02-01
Colecção:IJAIN (International Journal of Advances in Intelligent Informatics)
Assuntos:
missing data
imputation
time-series forecasting
static sherwood duel optimization
socio-inspired algorithm
Acesso em linha:https://ijain.org/index.php/IJAIN/article/view/2396
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