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Data-driven techniques for temperature data prediction: big data analytics approach.
Oloyede, Adamson; Ozuomba, Simeon; Asuquo, Philip; Olatomiwa, Lanre; Longe, Omowunmi Mary.
Affiliation
  • Oloyede A; Advanced Space Technology Applications Laboratory Uyo, National Space Research and Development Agency, P.M.B. 437, Abuja, Nigeria. ooloyede@astaluyo.gov.ng.
  • Ozuomba S; Department of Computer Engineering, University of Uyo, Uyo, 520103, Nigeria. ooloyede@astaluyo.gov.ng.
  • Asuquo P; Department of Computer Engineering, University of Uyo, Uyo, 520103, Nigeria.
  • Olatomiwa L; Department of Computer Engineering, University of Uyo, Uyo, 520103, Nigeria.
  • Longe OM; Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg, 2006, South Africa.
Environ Monit Assess ; 195(2): 343, 2023 Jan 30.
Article in En | MEDLINE | ID: mdl-36715815
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Data Science Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Environ Monit Assess Journal subject: SAUDE AMBIENTAL Year: 2023 Document type: Article Affiliation country: Nigeria Country of publication: Netherlands
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Data Science Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Environ Monit Assess Journal subject: SAUDE AMBIENTAL Year: 2023 Document type: Article Affiliation country: Nigeria Country of publication: Netherlands