Serpil Yalçın Kuzu profile image
Serpil Yalçın Kuzu Assoc. Prof. Dr. FIRAT ÜNİVERSİTESİ
Publication 3 Review 4 CrossRef Cited 1
3 Publication
4 Review
1 CrossRef Cited

Research Fields

Big Data Artificial Intelligence Nuclear Physics Particle and High Energy Physics

Institution

FIRAT ÜNİVERSİTESİ

Publications

Identification of dielectron pairs with machine learning method
Authors: Serpil Yalçın Kuzu
Published: 2022 , Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
DOI: 10.25092/baunfbed.988684
FAVORITE 0 TOTAL DOWNLOAD COUNT 443

0

443

Artificial Intelligence Based Machine Learning Approach in High Energy Physics
Authors: Serpil Yalçın Kuzu
Published: 2021 , International Journal of Innovative Engineering Applications
DOI: 10.46460/ijiea.929292
FAVORITE 0 TOTAL DOWNLOAD COUNT 604

0

604

Production of Baryonic Resonances at High Energy Relativistic Collisions
Authors: Serpil Yalçın Kuzu , Ayben Karasu Uysal
Published: 2021 , Bilecik Seyh Edebali University Journal of Science
DOI: 10.35193/bseufbd.854296
FAVORITE 0 TOTAL DOWNLOAD COUNT 542

0

542

Articles published in
Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Bilecik Seyh Edebali University Journal of Science
Bilecik Seyh Edebali University Journal of Science
International Journal of Innovative Engineering Applications
International Journal of Innovative Engineering Applications

Reviews

Journal of Advanced Research in Natural and Applied Sciences
Journal of Advanced Research in Natural and Applied Sciences
Journal of Physical Chemistry and Functional Materials
Journal of Physical Chemistry and Functional Materials
Sinop University Journal of Natural Sciences
Sinop University Journal of Natural Sciences

Publications

Artificial Intelligence Based Machine Learning Approach in High Energy Physics
Authors: Serpil Yalçın Kuzu
Published: 2021 , International Journal of Innovative Engineering Applications
DOI: 10.46460/ijiea.929292
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 604

1

0

604

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.
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