Seda Arık Hatipoğlu profile image
Seda Arık Hatipoğlu Asst. Prof. Dr. ERCİYES ÜNİVERSİTESİ, HAVACILIK VE UZAY BİLİMLERİ FAKÜLTESİ
Publication 2 Review 3 CrossRef Cited 7
2 Publication
3 Review
7 CrossRef Cited
0000-0002-6405-9373

Research Fields

Deep Learning Machine Learning Algorithms Modelling and Simulation Avionics

Institution

ERCİYES ÜNİVERSİTESİ, HAVACILIK VE UZAY BİLİMLERİ FAKÜLTESİ

Popular Publications

SOC Estimation of Li-Po Battery Using Machine Learning and Deep Learning Methods
Authors: Nazire Nur Karaburun , Seda Arık Hatipoğlu , Mehmet Konar
Published: 2024 , Journal of Aviation
DOI: 10.30518/jav.1425676
CITED 7 FAVORITE 1 TOTAL DOWNLOAD COUNT 571

7

1

571

Publications

Estimating of UAV Battery Status with BSA Based Sugeno Type Fuzzy System
Authors: Seda Arık Hatipoğlu , Beyzanur Özcan
Published: 2025 , Journal of Aviation
DOI: 10.30518/jav.1694329
FAVORITE 0 TOTAL DOWNLOAD COUNT 14

0

14

SOC Estimation of Li-Po Battery Using Machine Learning and Deep Learning Methods
Authors: Nazire Nur Karaburun , Seda Arık Hatipoğlu , Mehmet Konar
Published: 2024 , Journal of Aviation
DOI: 10.30518/jav.1425676
FAVORITE 1 TOTAL DOWNLOAD COUNT 571

1

571

Articles published in
Journal of Aviation
Journal of Aviation
Editorial Board Memberships
Journal of Aerospace Science and Management
Journal of Aerospace Science and Management

Reviews

İstanbul Commerce University Journal of Science
İstanbul Commerce University Journal of Science
Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi Dergisi
Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi Dergisi
Turkish Journal of Science and Technology
Turkish Journal of Science and Technology

Publications

SOC Estimation of Li-Po Battery Using Machine Learning and Deep Learning Methods
Authors: Nazire Nur Karaburun , Seda Arık Hatipoğlu , Mehmet Konar
Published: 2024 , Journal of Aviation
DOI: 10.30518/jav.1425676
CITED 7 FAVORITE 1 TOTAL DOWNLOAD COUNT 571

7

1

571

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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