Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Huseyin Temucin"'
Publikováno v:
Acta Astronautica. 180:305-316
This paper discusses the diurnal and seasonal variations of the F2 layer critical frequency (foF2) and the improvement of performance of the IRI-2016 model in predicting foF2 over three latitudes in different hemispheres during low and high solar act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f92a4e58f9a10c13981e40ef9ced9f3
https://doi.org/10.1016/j.actaastro.2020.12.042
https://doi.org/10.1016/j.actaastro.2020.12.042
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b40c457589fc5f040433e7180cf088e3
https://doi.org/10.1109/siu55565.2022.9864693
https://doi.org/10.1109/siu55565.2022.9864693
Autor:
Huseyin, Temuçin, Kerem, Erzurumlu
Publikováno v:
In Procedia Computer Science 2011 3:801-804
Autor:
Huseyin Temucin, Ali Seydi Keceli, Aydin Kaya, Cagatay Catal, Hamdi Yalin Yalic, Bedir Tekinerdogan
Publikováno v:
Computers and Electronics in Agriculture, 158, 20-29
Computers and Electronics in Agriculture 158 (2019)
Computers and Electronics in Agriculture 158 (2019)
Plant species classification is crucial for biodiversity protection and conservation. Manual classification is time-consuming, expensive, and requires experienced experts who are often limited available. To cope with these issues, various machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c37783039927171e5c773c93466c3c5d
https://research.wur.nl/en/publications/analysis-of-transfer-learning-for-deep-neural-network-based-plant
https://research.wur.nl/en/publications/analysis-of-transfer-learning-for-deep-neural-network-based-plant
Autor:
Huseyin Temucin, Kayhan M. İmre
This paper presents a novel scheduling approach that efficiently schedules the computational and the communicational resources of a Software-Defined Photonic Network-on-Chip (SD-PNoC) Architecture designed for high-performance real-time systems. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee514fb2205ed1b9d1edc6c93284ff97
https://avesis.gazi.edu.tr/publication/details/249ea892-a973-4ccf-9a44-69de5781574e/oai
https://avesis.gazi.edu.tr/publication/details/249ea892-a973-4ccf-9a44-69de5781574e/oai
Autor:
Mohamed Abdel-Basset, Laila Abdel-Fatah, Armin Haj Aboutalebi, A. Sherly Alphonse, Grace Mojisola Asogbon, Senthil Murugan Balakrishnan, Soumya Banerjee, S.S. Blessy Trencia Lincy, Arun Das, Prasun Das, Dejey Dharma, Lide Duan, Anna Bou Ezzeddine, Kaneez Fatima, Sakshi Kaushal, Aydin Kaya, Ali Seydi Keceli, Harish Kumar, Guanglin Li, Marek Lóderer, Mir Muhammad Lodro, Jaroslav Loebl, Róbert Magyar, Yacine Ouzrout, Shalini Parasuraman, Sandeep Pirbhulal, Paul Rad, Anitha Ramchandran, Viera Rozinajová, Sounak Sadhukhan, Oluwarotimi Williams Samuel, Arun Kumar Sangaiah, Aicha Sekhari, Megha Sharma, Chinu Singla, Ali Hassan Sodhro, Gul Hassan Sodhro, N. Suresh Kumar, Bedir Tekinerdogan, Huseyin Temucin, Alex D. Torres, Amandeep Verma, Petra Vrablecová, Hamdi Yalin Yalic, Hao Yan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::999fa34d757381567e14d9c2eeeb3afd
https://doi.org/10.1016/b978-0-12-813314-9.00021-9
https://doi.org/10.1016/b978-0-12-813314-9.00021-9
Publikováno v:
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications. Elsevier
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications. Elsevier
In society, visual impairment is one of the important health issues that severely impede the daily life and welfare of many people. According to the 2014 World Health Organization (WHO) report, there exist 285 million visually impaired people worldwi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fde1af710b95146056f85e15622df57
https://doi.org/10.1016/b978-0-12-813314-9.00001-3
https://doi.org/10.1016/b978-0-12-813314-9.00001-3
Autor:
Kayhan M. İmre, Huseyin Temucin
Publikováno v:
SIU
Reaching the physical boundaries of the electronics-based communication approach has enabled photonic-based systems, which promise high-bandwidth and low power consumption, especially in multiprocessor systems, to be an alternative to electronic syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e0ed6581a57bc682c227c4490b72436
https://doi.org/10.1109/siu.2017.7960545
https://doi.org/10.1109/siu.2017.7960545