Jee-Hun Song - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Automated topology design to improve the susceptibility of naval ships using geometric deep learningJoon-Tae Hwang, Suk-Yoon Hong, Jee-Hun Song. jcde, 10(2):794-808, March 2023. [doi]

Stable LBM schemes for acoustic scaling simulations under high Reynolds to Mach ratio: Introduction to the DM-TS operatorBeom-Jin Joe, Sang-Jae Yeo, Suk-Yoon Hong, Jee-Hun Song. cma, 145:1-12, September 2023. [doi]

2022

Weapon compartment layout design method for improving the survivability of a naval ship by considering susceptibility distribution based on radar cross section analysisJoon-Tae Hwang, Suk-Yoon Hong, Jee-Hun Song, Hyun-Wung Kwon. jcde, 9(2):448-462, 2022. [doi]

Enhanced Convolutional Neural Network for In Situ AUV Thruster Health Monitoring Using Acoustic SignalsSang-Jae Yeo, Woen-Sug Choi, Suk-Yoon Hong, Jee-Hun Song. sensors, 22(18):7073, 2022. [doi]

2015

Development of a noise prediction software NASEFA and its application in medium-to-high frequency rangesHyun-Wung Kwon, Suk-Yoon Hong, Jee-Hun Song. aes, 83:11-18, 2015. [doi]

Joint Cell Association and Resource Scheduling for Multi-cell HetNetsJeong-Ahn Kwon, Jee-Hun Song, Duck-Hyun Bae, Jang-Won Lee. cfi 2015: 63-69 [doi]

Opportunistic scheduling and incentive mechanism for OFDMA networks with D2D relayingJee-Hun Song, Hee-Tae Roh, Jang-Won Lee. cn, 91:772-787, 2015. [doi]

2014

Opportunistic scheduling for OFDMA networks with mobile relay stationsJee-Hun Song, Hee-Tae Roh, Jang-Won Lee. ictc 2014: 401-406 [doi]

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