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Abdulkadir Mühendis Res. Assist. KONYA TEKNİK UNİVERSİTESIİ
Publication 2 Review 0 CrossRef Cited 3
2 Publication
0 Review
3 CrossRef Cited
0000-0001-8531-257X

Research Fields

Electrical Engineering

Institution

KONYA TEKNİK UNİVERSİTESIİ

Popular Publications

Integrating Machine Learning with Advanced Features of L9963E BMS for Enhanced State of Charge Estimation
Authors: Abdulkadir Mühendis , Ramazan Akkaya
Published: 2025 , International Journal of Automotive Science And Technology
DOI: 10.30939/ijastech..1698286
CITED 1 FAVORITE 1 TOTAL DOWNLOAD COUNT 345

1

1

345

Publications

Integrating Machine Learning with Advanced Features of L9963E BMS for Enhanced State of Charge Estimation
Authors: Abdulkadir Mühendis , Ramazan Akkaya
Published: 2025 , International Journal of Automotive Science And Technology
DOI: 10.30939/ijastech..1698286
FAVORITE 1 TOTAL DOWNLOAD COUNT 345

1

345

LabVIEW Based Modelling System Applied in Maximum Power Point Tracking Techniques
Authors: Abdulkadir Mühendis , Ahmet Afşin Kulaksız
Published: 2020 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.809517
FAVORITE 0 TOTAL DOWNLOAD COUNT 1331

0

1331

Articles published in
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
International Journal of Automotive Science And Technology
International Journal of Automotive Science And Technology
User doesn't have any peer review duties on DergiPark.

Publications

Integrating Machine Learning with Advanced Features of L9963E BMS for Enhanced State of Charge Estimation
Authors: Abdulkadir Mühendis , Ramazan Akkaya
Published: 2025 , International Journal of Automotive Science And Technology
DOI: 10.30939/ijastech..1698286
CITED 1 FAVORITE 1 TOTAL DOWNLOAD COUNT 345

1

1

345

LabVIEW Based Modelling System Applied in Maximum Power Point Tracking Techniques
Authors: Abdulkadir Mühendis , Ahmet Afşin Kulaksız
Published: 2020 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.809517
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 1331

2

0

1331

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. : Click to get information about the DergiPark User Badge.