Ajou University repository

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Development of standardized stepwise evaluation and integrated management model for Clinical Big data Quality improvement
  • 변정현
  • 2020-08
  • The Graduate School, Ajou University
5축 기상측정을 위한 NURBS 곡면 기반의 특징정보 인식 및 측정경로 생성 시스템 개발
  • 여인웅
  • 2019-02
  • The Graduate School, Ajou University
Development of a feature-recognition and measurement path generation system based on NURBS surfaces for 5-axis on-machine measurement
  • 2019-07-01
  • Journal of Mechanical Science and Technology, Vol.33, pp.3445-3455
  • Korean Society of Mechanical Engineers
Enhanced trajectory data visualization: a dynamic time warping integrated t-SNE approach with real-data applications
  • 2024-01-01
  • Communications in Statistics: Simulation and Computation
  • Taylor and Francis Ltd.
Quantification of predicted uncertainty for a data-based modeloa mark
  • 2021-03-01
  • Nuclear Engineering and Technology, Vol.53, pp.860-865
  • Korean Nuclear Society
Comparing the sensitivities of measures of adherence to antihypertensive drugs using korean national health insurance claims dataoa mark
  • 2021-01-01
  • Patient Preference and Adherence, Vol.15, pp.1717-1728
  • Dove Medical Press Ltd
A generalized driving risk assessment on high-speed highways using field theoryoa mark
  • 2023-12-01
  • Analytic Methods in Accident Research, Vol.40
  • Elsevier Ltd
Discordance minimization-based imputation algorithms for missing values in rating dataoa mark
  • 2024-01-01
  • Machine Learning, Vol.113, pp.241-279
  • Springer
GenomomFF: Cost-Effective Method to Measure Fetal Fraction by Adaptive Multiple Regression Techniques with Optimally Selected Autosomal Chromosome Regionsoa mark
  • 2020-01-01
  • IEEE Access, Vol.8, pp.106880-106888
  • Institute of Electrical and Electronics Engineers Inc.
Classification of histogram-valued data with support histogram machinesoa mark
  • Kang, Ilsuk;
  • Park, Cheolwoo;
  • Yoon, Young Joo;
  • Park, Changyi;
  • Kwon, Soon Sun;
  • Choi, Hosik
  • 2023-01-01
  • Journal of Applied Statistics, Vol.50, pp.675-690
  • Taylor and Francis Ltd.
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