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Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm.
Chiroma, Haruna; Abdul-kareem, Sameem; Khan, Abdullah; Nawi, Nazri Mohd; Gital, Abdulsalam Ya'u; Shuib, Liyana; Abubakar, Adamu I; Rahman, Muhammad Zubair; Herawan, Tutut.
Afiliação
  • Chiroma H; Faculty of Computer Science and IT, University of Malaya, Kuala Lumpur, Malaysia; School of Science, Department of Computer Science, Federal College of Education (Technical), Gombe, Nigeria.
  • Abdul-kareem S; Faculty of Computer Science and IT, University of Malaya, Kuala Lumpur, Malaysia.
  • Khan A; Software and multimedia center faculty of science and computer technology, University Tun Hussein Onn, Johor Bahru, Malaysia.
  • Nawi NM; Software and multimedia center faculty of science and computer technology, University Tun Hussein Onn, Johor Bahru, Malaysia.
  • Gital AY; Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia.
  • Shuib L; Faculty of Computer Science and IT, University of Malaya, Kuala Lumpur, Malaysia.
  • Abubakar AI; Faculty of Information and Communication Technology, International Islamic University Malaysia, Kuala Lumpur, Malaysia.
  • Rahman MZ; Software and multimedia center faculty of science and computer technology, University Tun Hussein Onn, Johor Bahru, Malaysia.
  • Herawan T; Faculty of Computer Science and IT, University of Malaya, Kuala Lumpur, Malaysia.
PLoS One ; 10(8): e0136140, 2015.
Article em En | MEDLINE | ID: mdl-26305483
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Petróleo / Dióxido de Carbono / Redes Neurais de Computação / Aquecimento Global Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Nigéria
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Petróleo / Dióxido de Carbono / Redes Neurais de Computação / Aquecimento Global Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Nigéria