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대학원 소개

연구 성과

UNIST 인공지능대학원의 대학원 및 연구성과를 확인하실 수 있습니다.
연구성과 테이블
년도 제목 기간 첨부
2023 MMP Net: A feedforward neural network model with sequential inputs for representing continuous multistage manufacturing processes without intermediate outputs (IISE Trans.), Prof. Chiehyeon Lim 01.01 - 12.31
2023 Hong Kong World: Leveraging Structural Regularity for Line-based SLAM (IEEE Trans. Pattern Anal. Mach. Intell.), Prof. Kyungdon Joo 01.01 - 12.31
2023 From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product-service systems in Industry 4.0 (Comput. Ind.), Prof. Chiehyeon Lim 01.01 - 12.31
2023 Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy (Appl. Soft. Comput.), Prof. Sunghoon Lim 01.01 - 12.31
2023 Stop-loss adjusted labels for machine learning-based trading of risky assets (Financ. Res. Lett.), Prof. Dong-Young Lim 01.01 - 12.31
2023 TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model Using MRI (IEEE Access), Prof. Jimin Lee 01.01 - 12.31
2023 Deep learning-based label-free hematology analysis framework using optical diffraction tomography (Heliyon), Prof. Jimin Lee 01.01 - 12.31
2023 Training-Free Stuck-At Fault Mitigation for ReRAM-Based Deep Learning Accelerators (IEEE Trans. Comput-Aided Des. Integr. Circuits Syst.), Prof. Jongeun Lee 01.01 - 12.31
2023 Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators (IEEE Trans. Comput-Aided Des. Integr. Circuits Syst.), Prof. Jongeun Lee 01.01 - 12.31
2023 A product acceptance decision-making method based on process capability with considering gauge measurement errors (Commun. Stat.-Theory Methods), Prof. Junghye Lee 01.01 - 12.31