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Showing results 1 to 10 of 1591 (Search time: 0.0 seconds).

Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach
  • 2021-10-01
  • Journal of Building Engineering, Vol.42
  • Elsevier Ltd
Feasibility analysis of electrodermal activity (EDA) acquired from wearable sensors to assess construction workers’ perceived risk
  • 2019-06-01
  • Safety Science, Vol.115, pp.110-120
  • Elsevier B.V.
Emotion classification using physiological data with machine learning: case studies on healthy people and Alzheimer’s disease patients with dementia
  • 서정렬
  • 2021-02
  • The Graduate School, Ajou University
Comparison of indices used for quantifying the total EMG of shoulder muscles
  • WANG HUI
  • 2012-08
  • The Graduate School, Ajou University
The Mitochondrial-Encoded Peptide MOTS-c Translocates to the Nucleus to Regulate Nuclear Gene Expression in Response to Metabolic Stressoa mark
  • Kim, Kyung Hwa;
  • Son, Jyung Mean;
  • Benayoun, Bérénice A.;
  • Lee, Changhan
  • 2018-09-04
  • Cell Metabolism, Vol.28, pp.516-524.e7
  • Cell Press
Active Turnover of Heme in Hibernation Period in Mammalsoa mark
  • 2020-01-15
  • Frontiers in Physiology, Vol.10
  • Frontiers Media S.A.
An exploration of machine learning methods for robust boredom classification using EEG and GSR dataoa mark
  • 2019-10-02
  • Sensors (Switzerland), Vol.19
  • MDPI AG
Two-photon imaging of hydrogen polysulfides in living cells and hippocampal tissues
  • 2020-11-01
  • Sensors and Actuators, B: Chemical, Vol.322
  • Elsevier B.V.
Mitochondrial-derived peptides in energy metabolismoa mark
  • Merry, Troy L.;
  • Chan, Alex;
  • Woodhead, Jonathan S.T.;
  • Reynolds, Joseph C.;
  • Kumagai, Hiroshi;
  • Kim, Su Jeong;
  • Lee, Changhan
  • 2020-10-01
  • American Journal of Physiology - Endocrinology and Metabolism, Vol.319, pp.E659-E666
  • American Physiological Society
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