Predicting IDF through discrete cosine transform-based machine learning and honey formation optimization: a case study of the Göksu River Basin
JOURNAL OF WATER AND CLIMATE CHANGE, cilt.1, sa.1, ss.1-31, 2025 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 1 Sayı: 1
- Basım Tarihi: 2025
- Doi Numarası: 10.2166/wcc.2025.052/110109
- Dergi Adı: JOURNAL OF WATER AND CLIMATE CHANGE
- Derginin Tarandığı İndeksler: Scopus, Agricultural & Environmental Science Database, Science Citation Index Expanded (SCI-EXPANDED), Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Compendex, Geobase, CAB Abstracts, Veterinary Science Database, Directory of Open Access Journals
- Sayfa Sayıları: ss.1-31
- Akdeniz Üniversitesi Adresli: Evet