Legal Admissibility of Machine Learning Reconstructed Data in Digital ForensicsLegal Admissibility of Machine Learning Reconstructed Data in Digital Forensics

Ryzhova Alissa,Shayakhmetov Madi,KAYIŞLI KORHAN,Kozhanazarov Zamir

Legal Admissibility of Machine Learning Reconstructed Data in Digital ForensicsLegal Admissibility of Machine Learning Reconstructed Data in Digital Forensics

YAYIN ID:

10505459

KAPSAM AD:

Uluslararası

HAKEM TUR AD:

Hakemli

ENDEKS:

Endekste taranmıyor

MAKALE ADI:

Legal Admissibility of Machine Learning Reconstructed Data in Digital ForensicsLegal Admissibility of Machine Learning Reconstructed Data in Digital Forensics

YAZAR ADI:

Ryzhova Alissa,Shayakhmetov Madi,KAYIŞLI KORHAN,Kozhanazarov Zamir

DERGI ADI:

Journal of Secure Digital Technologies

YAYIN DILI ADI:

İngilizce

AY:

YIL:

2026

CILT:

SAYI:

ILK SAYFA:

SON SAYFA:

ISSN:

3136-9340

ERISIM TURU AD:

Elektronik

ALAN BILGISI:

Mühendislik Temel Alanı>Elektrik-Elektronik ve Haberleşme Mühendisliği>Güç Elektroniği>Yapay Zeka>Yenilenebilir Enerji Sistemleri

YAZAR ID:

9816315

GUNCELLEME TARIHI:

2026-10-03 21:20:10

MAKALE TURU AD:

Özgün Makale

ERISIM LINKI:

https://journal.govtec.kz/index.php/jsdt/article/view/7/7