Atmospheric NO<sub>2</sub> concentration prediction with statistical and hybrid deep learning methods
ENVIRONMENTAL AND ECOLOGICAL STATISTICS, vol.32, no.1, pp.89-118, 2025 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 32 Issue: 1
- Publication Date: 2025
- Doi Number: 10.1007/s10651-024-00637-3
- Journal Name: ENVIRONMENTAL AND ECOLOGICAL STATISTICS
- Journal Indexes: 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
- Page Numbers: pp.89-118
- Keywords: Air pollution, Hybrid deep learning methods, Daily NO2 concentration, Forecasting, Data mining, Big Data
- Çukurova University Affiliated: Yes