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ORCIDJaehan Joo
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2020 – today
- 2024
[c9]Jaejun Lim, Jaehan Joo, Suk Chan Kim:
Ultrasonic Based Outdoor Localization Using Threshold Crossing. ICAIIC 2024: 117-119- 2023
- [c8]Jeonghun Park, Heetae Jin, Jaehan Joo, Geonho Choi, Suk Chan Kim:
Double Deep Q-Learning based Backhaul Spectrum Allocation in Integrated Access and Backhaul Network. ICAIIC 2023: 706-708 - [c7]Jaehan Joo, Jeongbin Seo, Geonho Choi, Suk Chan Kim:
GAN-based Image-to-Image Translation of Fundus Photography: Topcon to Eidon. ICUFN 2023: 746-748 - 2022
- [c6]Donghwan Kim, Jaehan Joo, Suk Chan Kim:
Fake Data Generation for Medical Image Augmentation using GANs. ICAIIC 2022: 197-199 - 2021
- [c5]Donghwan Kim, Jaehan Joo, Guohua Zhu, Jeongbin Seo, Jaeseung Ha, Suk Chan Kim:
Strabismus Classification using Convolutional Neural Networks. ICAIIC 2021: 216-218
2010 – 2019
- 2019
- [c4]Donghee Yi, Jaehan Joo, Zewen Piao, Heetae Jin, Suk Chan Kim:
Ultrasound-based Obstacle Detection System for Vehicles under Interference Environment. APCC 2019: 95-98 - [c3]Jeongbin Seo, Jaehan Joo, Guohua Zhu, Suk Chan Kim:
ESIM OFDM with Schmidl and Cox Algorithm Synchronizer in Rayleigh fading channel. APCC 2019: 267-270 - [c2]Jaehan Joo, Sinjin Jeong, Heetae Jin, Uhyeon Lee, Ji Young Yoon, Suk Chan Kim:
Periodontal Disease Detection Using Convolutional Neural Networks. ICAIIC 2019: 360-362 - [c1]Donghee Yi, Jaehan Joo, Suk Chan Kim:
Implementation of DPSK-based Obstacle Detection System using UItrasound for Vehicles. ICUFN 2019: 614-616
Coauthor Index
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