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Designing Multilayered Electromagnetic Absorbers with Machine Learning: Biswarup Rana, Ic-Pyo Hong; J. Electromagn. Eng. Sci. 2026;26(3):225-232. Published online May 31, 2026; DOI: https://doi.org/10.26866/jees.2026.3.r.359; Full text PubReader ePub PDF

Vehicle Classification Using Electromagnetic Leakage Signals Based on Feature Fusion and Residual CNN: Jonghwan Na, Bowon Lee; J. Electromagn. Eng. Sci. 2026;26(1):49-60. Published online January 31, 2026; DOI: https://doi.org/10.26866/jees.2026.1.r.339
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Simplified Complex Permittivity Measurement of Dielectric Materials Using a Compact Waveguide and a Machine Learning Technique: Min-Seok Park, Jaehoon Cho, Soonyong Lee, Kyung-Young Jung; J. Electromagn. Eng. Sci. 2025;25(6):610-618. Published online November 30, 2025; DOI: https://doi.org/10.26866/jees.2025.6.r.333
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A Deep Learning-Based Compact Weighted Binary Classification Technique to Discriminate between Targets and Clutter in SAR Images: Seung Mo Seo, Yeoreum Choi, Ho Lim, Ji Hoon Park; J. Electromagn. Eng. Sci. 2022;22(4):412-418. Published online July 13, 2022; DOI: https://doi.org/10.26866/jees.2022.4.r.103
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A Measurement Image Translation-Automatic Target Recognition Technique Based on CycleGAN with SAR Simulation DB: Seung Mo Seo, Yeoreum Choi, Ho Lim, Dae-Young Chae; J. Electromagn. Eng. Sci. 2022;22(3):326-334. Published online May 31, 2022; DOI: https://doi.org/10.26866/jees.2022.3.r.94
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Motion Region Detection and Pattern Extraction Algorithm of a Motion Image Based on a Radar Sensor: Jinseop Lee; J. Electromagn. Eng. Sci. 2019;19(4):245-252. Published online October 31, 2019; DOI: https://doi.org/10.26866/jees.2019.19.4.245
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Food Powder Classification Using a Portable Visible-Near-Infrared Spectrometer: Hanjong You, Youngsik Kim, Jae-Hyung Lee, Byung-Jun Jang, Sunwoong Choi; J. Electromagn. Eng. Sci. 2017;17(4):186-190. Published online October 31, 2017; DOI: https://doi.org/10.26866/jees.2017.17.4.186
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