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pro vyhledávání: '"Çapali, Veli"'
Autor:
ÇAPALI, Veli
Publikováno v:
Volume: 9, Issue: 4 1240-1248
El-Cezeri
El-Cezeri
Advances in artificial intelligence/machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of covering topics in nuclear theory, experimental methods, accel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::3f690cd76cfaec966b03b35d7ef3fca1
https://dergipark.org.tr/tr/pub/ecjse/issue/74186/1132803
https://dergipark.org.tr/tr/pub/ecjse/issue/74186/1132803
Akademický článek
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Autor:
ÇAPALI, Veli
Publikováno v:
Erzincan University Journal of Science & Technology; 2022, Vol. 15 Issue 1, p394-405, 12p
Autor:
ÇAPALI, Veli
Publikováno v:
Volume: 12, Issue: 2 1095-1102
Erzincan University Journal of Science and Technology
Erzincan University Journal of Science and Technology
In this study; discusses the using artificialneural networks for approximation of data such as the nuclear reaction cross sectionsdata. The rate of approximation of the fitting criteria is determined by usingthe experimental value, evaluated data and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::ef6a1064ba3f0d1a8844bd0fdc079dab
https://dergipark.org.tr/tr/pub/erzifbed/issue/48444/561818
https://dergipark.org.tr/tr/pub/erzifbed/issue/48444/561818
Autor:
ŞEKERCİ, Mert1 mertsekerci@sdu.edu.tr, ÇAPALI, Veli1 velicapali@sdu.edu.tr, ÖZDOĞAN, Hasan2 hasanozdogan@akdeniz.edu.tr, KAPLAN, Abdullah1 abdullahkaplan@sdu.edu.tr
Publikováno v:
Suleyman Demirel University Journal of Science. 2016, Vol. 11 Issue 2, p82-88. 7p.
Publikováno v:
Süleyman Demirel Üniversitesi Fen-Edebiyat Fakültesi Fen Dergisi, Vol 11, Iss 1, Pp 51-60 (2016)
Volume: 11, Issue: 1 51-60
Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi
Volume: 11, Issue: 1 51-60
Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi
Internal organ motions are one of the most significant obstacles for radiotherapy, especially in the case of motions caused by respiratory during the lung irradiation. There is no any consensus about the margin limit given for the target volume (Clin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::124b2a70c7e3ec9183280714e19b0d94
http://dergipark.gov.tr/sdufeffd/issue/25595/270033?publisher=sdu-1
http://dergipark.gov.tr/sdufeffd/issue/25595/270033?publisher=sdu-1
Autor:
Çapali, Veli
Publikováno v:
Indian Journal of Physics; Sep2021, Vol. 95 Issue 9, p1821-1831, 11p