Enhancing location accuracy in urban logistics using hybrid machine learning and deep learning models on large-scale global positioning system data

Erdem E., Aydın T., Erkayman B.

CONNECTION SCIENCE, cilt.38, sa.1, ss.1-44, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1080/09540091.2026.2710512
  • Dergi Adı: CONNECTION SCIENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Compendex, INSPEC, Psycinfo, Directory of Open Access Journals, Academic Search Ultimate (EBSCO), Health Research Premium Collection (ProQuest), Psychology & Behavioral Sciences Collection (EBSCO), Technology Collection (ProQuest)
  • Sayfa Sayıları: ss.1-44
  • Anahtar Kelimeler: GPS data analysis, urban logistics, location accuracy, ensemble models, deep learning models
  • Atatürk Üniversitesi Adresli: Evet