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eNauka >  Results >  A novel enhancing MLP-SSO approach for predicting COVID-19 mortality time series
Title: A novel enhancing MLP-SSO approach for predicting COVID-19 mortality time series
Authors: Ghorbani, Shahryar; Stanimirovic, Predrag S; Rostamzadeh, Reza; Isavi, Hero; Thendiyath, Roshni
Issue Date: 2026
Publication: OPSEARCH
ISSN: 0030-3887 OPSEARCH (India) Search Idenfier
Type: Article
DOI: 10.1007/s12597-026-01185-z
WoS-ID: 001760622400001
Scopus-ID: 2-s2.0-105038327657
URI: https://enauka.gov.rs/handle/123456789/1039587
Project: Ministry of Science and Technology of China [H202408]
Ministry of Education, Science and Technological Development, Republic of Serbia [451-03-137/2025-03/ 200124]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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