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pro vyhledávání: '"Cetintas"'
Increasing the annotation efficiency of trajectory annotations from videos has the potential to enable the next generation of data-hungry tracking algorithms to thrive on large-scale datasets. Despite the importance of this task, there are currently
Externí odkaz:
http://arxiv.org/abs/2404.11426
Publikováno v:
International Journal of Clinical Practice. 75
Objective Our study aims to identify causative microorganisms with ear cultures taken from patients with chronic suppurative otitis media (CSOM) and to compare their sensitivity to various antibiotics. Methods A total of 155 patients diagnosed with C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::949284a0292594406c8b2fa1a4ff91fc
https://doi.org/10.1111/ijcp.14382
https://doi.org/10.1111/ijcp.14382
Publikováno v:
International journal of clinical practice [Int J Clin Pract] 2021 Dec; Vol. 75 (12), pp. e14382. Date of Electronic Publication: 2021 Nov 22.
Tracking objects over long videos effectively means solving a spectrum of problems, from short-term association for un-occluded objects to long-term association for objects that are occluded and then reappear in the scene. Methods tackling these two
Externí odkaz:
http://arxiv.org/abs/2212.03038
Autor:
Mert Erdin, Ceylan Polat, Teemu Smura, Sercan Irmak, Ortac Cetintas, Muhsin Cogal, Faruk Colak, Ahmet Karatas, Mustafa Sozen, Ferhat Matur, Olli Vapalahti, Tarja Sironen, Ibrahim Mehmet Ali Oktem
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 4, Pp 779-782 (2024)
We report complete coding sequences of Orthohantavirus dobravaense (Dobrava virus) Igneada strains and phylogenetic characterization of all available complete coding sequences. Our analyses suggested separation of host-dependent lineages, followed by
Externí odkaz:
https://doaj.org/article/d7883ca2adc64ab6babd7d0cbf276396
Publikováno v:
Light: Science & Applications (2023)
Classification of an object behind a random and unknown scattering medium sets a challenging task for computational imaging and machine vision fields. Recent deep learning-based approaches demonstrated the classification of objects using diffuser-dis
Externí odkaz:
http://arxiv.org/abs/2208.03968
Graphs offer a natural way to formulate Multiple Object Tracking (MOT) and Multiple Object Tracking and Segmentation (MOTS) within the tracking-by-detection paradigm. However, they also introduce a major challenge for learning methods, as defining a
Externí odkaz:
http://arxiv.org/abs/2207.07454
Autor:
Alwazeer, Duried, Bulut, Menekşe, Ceylan, Mehmet Murat, Çelebi, Yasemin, Kavrut, Enes, Çetintaş, Yunus, Tekin, Ali, Hayaloğlu, Ali Adnan
Publikováno v:
In LWT 15 August 2024 206
Autor:
Çelebi, Yasemin, Kavrut, Enes, Bulut, Menekşe, Çetintaş, Yunus, Tekin, Ali, Hayaloğlu, Ali Adnan, Alwazeer, Duried
Publikováno v:
In Food Chemistry 1 August 2024 448
Autor:
Cetintas, Ege, Luo, Yi, Nguyen, Charlene, Guo, Yuening, Li, Liqiao, Zhu, Yifang, Ozcan, Aydogan
Publikováno v:
Scientific Reports (2022)
The past decade marked a drastic increase in the usage of electronic cigarettes (e-cigs). The adverse health impact of secondhand exposure due to exhaled e-cig particles has raised significant concerns, demanding further research on the characteristi
Externí odkaz:
http://arxiv.org/abs/2109.10865