General Information

Institutional Information: Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Yapay Zeka Mühendisliği A.B.D.
Research Areas: Computer Sciences, Computer Vision, Artificial Intelligence, Computer Learning and Pattern Recognition, Pattern Recognition and Image Processing, Software, Software Engineering, Engineering and Technology

Names in Publications: Keceli Ali Seydi

Metrics

Publication

45

Citation (WoS)

270

H-Index (WoS)

8

Citation (Scopus)

765

H-Index (Scopus)

10

Project

5

Open Access

5
UN Sustainable Development Goals