ResearchWho?
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    이흥노
    Position 교수
    Current Department 광주과학기술원 전기전자컴퓨터공학부
    프로필
    연구 성과
    논문[154]
    #154. Comparative performance assessment of deep learning based image steganography techniques
    Journal Information 2022.10 · Scientific Reports
    Identifier (DOI) https://doi.org/10.1038/s41598-022-17362-1
    #153. A Systematic Review on Acute Leukemia Detection Using Deep Learning Techniques
    Journal Information 2022.9 · Archives of Computational Methods in Engineering
    Identifier (DOI) https://doi.org/10.1007/s11831-022-09796-7
    프로시딩[44]
    #44. Convolutional neural networks for the reconstruction of spectra in compressive sensing spectrometers
    Journal Information 2019.02
    Identifier (DOI) https://doi.org/10.1117/12.2509548
    #43. Design of portable functional near-infrared spectroscopy-based brain monitoring system
    Journal Information 2019.01
    Identifier (DOI) https://doi.org/10.23919/ELINFOCOM.2019.8706377
    발표[142]
    #142. Convolutional neural networks for the reconstruction of spectra in compressive sensing spectrometers
    Organization Optical Data Science II 2019
    Date 2019.2
    #141. Design of portable functional near-infrared spectroscopy-based brain monitoring system
    Organization 18th International Conference on Electronics, Information, and Communication, ICEIC 2019
    Date 2019.1
    특허[56]
    #56. METHOD AND APPARATUS FOR TRANSMITTING SPARSE SIGNAL, AND METHOD AND APPARATUS FOR RECOVERING SPARSE SIGNAL VIA BELIEF PROPAGATION AND BAYESIAN HYPOTHESIS TEST
    Identifier [출원] 13/420176
    Patent Country 미국
    #55. METHOD FOR RECONSTRUCTING SPARSE SIGNAL IN FINITE FIELD, APPARATUS FOR RECONSTRUCTING SPARSE SIGNAL IN FINITE FIELD, AND RECORDING MEDIUM FOR RECORDING RECONSTRUCTION METHOD
    Identifier [출원] 14/405234
    Patent Country 미국
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