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http://dx.doi.org/10.30693/SMJ.2021.10.1.55

Presenting Practical Approaches for AI-specialized Fields in Gwangju Metro-city  

Cha, ByungRae (광주과학기술원 AI대학원)
Cha, YoonSeok (제노테크(주))
Park, Sun (광주과학기술원 AI대학원)
Shin, Byeong-Chun (전남대학교 수학과)
Kim, JongWon (광주과학기술원 AI대학원)
Publication Information
Smart Media Journal / v.10, no.1, 2021 , pp. 55-62 More about this Journal
Abstract
We applied machine learning of semi-supervised learning, transfer learning, and federated learning as examples of AI use cases that can be applied to the three major industries(Automobile industry, Energy industry, and AI/Healthcare industry) of Gwangju Metro-city, and established an ML strategy for AI services for the major industries. Based on the ML strategy of AI service, practical approaches are suggested, the semi-supervised learning approach is used for automobile image recognition technology, and the transfer learning approach is used for diabetic retinopathy detection in the healthcare field. Finally, the case of the federated learning approach is to be used to predict electricity demand. These approaches were tested based on hardware such as single board computer Raspberry Pi, Jaetson Nano, and Intel i-7, and the validity of practical approaches was verified.
Keywords
Major Industries of GwangJu Metro-city; Semi-supervised Learning; Transfer Learning; Federated Learning; ML Strategy of AI Service;
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