Order Article Reprints

Kim J-I, Yu G-H, Lee J, Vu DT, Kim J-H, Park H-S, Kim J-Y, Hong S-H. EffShuffNet: An Efficient Neural Architecture for Adopting a Multi-Model. Applied Sciences. 2023; 13(6):3505. https://doi.org/10.3390/app13063505

Kim, Jong-In, Gwang-Hyun Yu, Jin Lee, Dang Thanh Vu, Jung-Hyun Kim, Hyun-Sun Park, Jin-Young Kim, and Sung-Hoon Hong. 2023. "EffShuffNet: An Efficient Neural Architecture for Adopting a Multi-Model" Applied Sciences 13, no. 6: 3505. https://doi.org/10.3390/app13063505

Kim, J.-I., Yu, G.-H., Lee, J., Vu, D. T., Kim, J.-H., Park, H.-S., Kim, J.-Y., & Hong, S.-H. (2023). EffShuffNet: An Efficient Neural Architecture for Adopting a Multi-Model. Applied Sciences, 13(6), 3505. https://doi.org/10.3390/app13063505