Multi-source heterogeneous data‑driven strength forecasting of cement-based paste backfill using missing-data imputation and MiceForest–Bayes–XGBoost modeling

Yan B., Liu P., Lai X., Jia H., Yılmaz E., He X.

INTERNATIONAL JOURNAL OF MINING, RECLAMATION AND ENVIRONMENT, cilt.41, sa.7, ss.1-26, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 41 Sayı: 7
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1080/17480930.2026.2748652
  • Dergi Adı: INTERNATIONAL JOURNAL OF MINING, RECLAMATION AND ENVIRONMENT
  • Derginin Tarandığı İndeksler: Applied Science & Technology Source, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO), Scopus, Science Citation Index Expanded (SCI-EXPANDED), Compendex, Environment Index, Geobase, Greenfile, INSPEC
  • Sayfa Sayıları: ss.1-26
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet