[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.17703/IJACT.2022.10.3.360

Comparison of Machine Learning Tools for Mobile Application

Lee, Yo-Seob (School of ICT Convergence, Pyeongtaek University)

Publication Information

International Journal of Advanced Culture Technology / v.10, no.3, 2022 , pp. 360-370 More about this Journal

Abstract

Demand for machine learning systems continues to grow, and cloud machine learning platforms are widely used to meet this demand. Recently, the performance improvement of the application processor of smartphones has become an opportunity for the machine learning platform to move from the cloud to On-Device AI, and mobile applications equipped with machine learning functions are required. In this paper, machine learning tools for mobile applications are investigated and compared the characteristics of these tools.

Keywords

Mobile; Machine Learning; Tool; iOS; Android;

Citations & Related Records

Reference

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