Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ahmet Ercan Topcu"'
Remote Sensing Image Segmentation for Aircraft Recognition Using U-Net as Deep Learning Architecture
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2639 (2024)
Recognizing aircraft automatically by using satellite images has different applications in both the civil and military sectors. However, due to the complexity and variety of the foreground and background of the analyzed images, it remains challenging
Externí odkaz:
https://doaj.org/article/4b3ea385f3794d20ac290af7d028e221
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 751 (2024)
Document image retrieval (DIR) systems simplify access to digital data within printed documents by capturing images. These systems act as bridges between print and digital realms, with demand in organizations handling both formats. In education, stud
Externí odkaz:
https://doaj.org/article/c0d7c539396d4f97bc0b614ef2ede117
Autor:
Aimen Mukhtar Rmis, Ahmet Ercan Topcu
Publikováno v:
Tehnički Vjesnik, Vol 27, Iss 1, Pp 157-165 (2020)
NoSQL database has become an important alternative to traditional relational databases. Those databases are prepared by the management of large, continuously and variably changing data sets. They are widely used in cloud databases and distributed sys
Externí odkaz:
https://doaj.org/article/01bf6c818af7408c8634f86dfb601dcd
In this study, we present a novel algorithm that combines a rule-based approach and an artificial neural network-based approach in morphological analysis. The usage of hybrid models including both techniques is evaluated for performance improvements.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e83eae4c2bde7f346fb66e3132f1e97f
https://hdl.handle.net/20.500.12513/4939
https://hdl.handle.net/20.500.12513/4939