Atmospheric NO<sub>2</sub> concentration prediction with statistical and hybrid deep learning methods

ULUOCAK İ., Pinar E., Bilgili M.

ENVIRONMENTAL AND ECOLOGICAL STATISTICS, cilt.32, sa.1, ss.89-118, 2025 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 32 Sayı: 1
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s10651-024-00637-3
  • Dergi Adı: ENVIRONMENTAL AND ECOLOGICAL STATISTICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Environment Index, Geobase, Greenfile, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.89-118
  • Anahtar Kelimeler: Air pollution, Hybrid deep learning methods, Daily NO2 concentration, Forecasting, Data mining, Big Data
  • Çukurova Üniversitesi Adresli: Evet