Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Numan Celebi"'
Publikováno v:
Neural Computing and Applications. 34:18171-18182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8e046c9a7290ca33354b97d8fe6972c
https://doi.org/10.1007/s00521-022-07456-2
https://doi.org/10.1007/s00521-022-07456-2
Publikováno v:
Engineering Applications of Artificial Intelligence. 119:105769
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cbffbc142ef730bcc6e9f45f36ad622
https://doi.org/10.1016/j.engappai.2022.105769
https://doi.org/10.1016/j.engappai.2022.105769
Saliency detection is one of the challenging problems still tackled by image processing and computer vision research communities. Although not very numerous, recent studies reveal that optimization-based methods provide relatively accurate and fast s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b128b388ba943fc3d75d9fbdbb75b2e6
https://hdl.handle.net/11729/4343
https://hdl.handle.net/11729/4343
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5af83588f85ab5b187b2cc45cbd2fde
https://doi.org/10.1109/siu55565.2022.9864705
https://doi.org/10.1109/siu55565.2022.9864705
Autor:
Amer Mirkhan, Numan Çelebi
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 71, Iss 6 (2023)
Training a neural network can be a challenging task, particularly when working with complex models and large amounts of training data, as it consumes significant time and resources. This research proposes a hybrid model that combines population-based
Externí odkaz:
https://doaj.org/article/ffd3535b8c3d4126b361f54e0fda451c
Autor:
Numan Celebi
Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approaching data has been unimpeachably altered. These cha