Zobrazeno 1 - 10
of 24 463
pro vyhledávání: '"ZAKY, A. A."'
Autor:
Guslim, Angga1 angga.guslim@ui.ac.id
Publikováno v:
Journal of Word Science (JWS). Sep2023, Vol. 2 Issue 9, p1340-1344. 5p.
Autor:
Puji Rahmawati
Publikováno v:
BASINDO: Jurnal Kajian Bahasa, Sastra Indonesia, dan Pembelajarannya, Vol 7, Iss 2, Pp 316-328 (2023)
This research aims to analyze the form of hegemony of power and its influence in the novel Kereta Semar Lembu by Zaky Yamani based on Antonio Gramsci's Hegemony theory. The method used in this research is descriptive qualitative with a literary socio
Externí odkaz:
https://doaj.org/article/179660d3b85e4382b94b3936920ed9bb
Publikováno v:
Khazanah Sosial, Vol 4, Iss 2, Pp 339-352 (2022)
The purpose of this study was to determine whether Zaky & Dicky Cafe's Instagram advertising efforts were effective. Instagram is an image and video sharing program that allows users to take photos, record videos, apply digital filters, and share the
Externí odkaz:
https://doaj.org/article/c2e8bfe6f27446bab51b4ecc45ffd4f1
Publikováno v:
IEEE ICCA 2024
This paper presents an Arabic Alphabet Sign Language recognition approach, using deep learning methods in conjunction with transfer learning and transformer-based models. We study the performance of the different variants on two publicly available da
Externí odkaz:
http://arxiv.org/abs/2410.00681
The rise of short-form videos on platforms like TikTok has brought new challenges in safeguarding young viewers from inappropriate content. Traditional moderation methods often fall short in handling the vast and rapidly changing landscape of user-ge
Externí odkaz:
http://arxiv.org/abs/2410.00403
Autor:
Zaky, Zaky A.1,2,3 (AUTHOR) zaky.a.zaky@science.bsu.edu.eg, Al-Dossari, M.4 (AUTHOR), Zhaketov, V. D.3,5 (AUTHOR), Aly, Arafa H.1,6 (AUTHOR)
Publikováno v:
Scientific Reports. 10/5/2024, Vol. 14 Issue 1, p1-14. 14p.
The increasing reliance on online recruitment platforms coupled with the adoption of AI technologies has highlighted the critical need for efficient resume classification methods. However, challenges such as small datasets, lack of standardized resum
Externí odkaz:
http://arxiv.org/abs/2406.18125
This study thoroughly investigates how well deep learning models can recognize Arabic handwritten text for person biometric identification. It compares three advanced architectures -- ResNet50, MobileNetV2, and EfficientNetB7 -- using three widely re
Externí odkaz:
http://arxiv.org/abs/2406.00409
Biometric identification is a reliable method to verify individuals based on their unique physical or behavioral traits, offering a secure alternative to traditional methods like passwords or PINs. This study focuses on ear biometric identification,
Externí odkaz:
http://arxiv.org/abs/2406.00135
Akademický článek
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