Unsupervised machine learning algorithm for face morphing-Reference-Cited by-同舟云学术

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Unsupervised machine learning algorithm for face morphing

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:RECENT ADVANCES IN SCIENCES, ENGINEERING, INFORMATION TECHNOLOGY & MANAGEMENT
language:
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Author:

Sharma Hitesh Kumar,Mahadev ,Chadha Raman,Nagarkoti Gaurav,Ahlawat Prashant

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0154756

Reference8 articles.

1. A. Shastri and R. Biswas, “A Framework for Automated Database TuningUsing Dynamic SGA Parameters and Basic Operating System Utilities”, Database System Journal Romania, 2013.

2. A. Shastri and R. Biswas, “Architecture of Automated Database Tuning Using SGA Parameters”, Database System Journal Romania.

3. A. Shastri, R. Biswas “A Framework for Automated Database Tuning Using Dynamic SGA Parameters and Basic Operating System Utilities”, Database Systems Journal vol. III, no. 4/2012.

4. Sharma, H.K., “E-COCOMO: the extended cost constructive model for cleanroom software engineering”, Database Syst. J. 4(4), 3–11 (2013).

5. Real Time Activity Logger: a User Activity Detection System

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