Showing results 26 to 37 of 37
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| Issue Date | Title | Author(s) |
| 2019 | Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit | Liao, Y-H; Wang, Z-C; Zhang, F-G; Abbod, MF; Shih, C-H; Shieh, J-S |
| 8-Aug-2013 | Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform | Huang, C-W; Sue, P-D; Abbod, MF; Jiang, BC; Shieh, J-S |
| 2013 | Nonlinear and conventional biosignal analyses applied to tilt table test for evaluating autonomic nervous system and autoregulation | Tseng, L; Tang, S-C; Chang, C-Y; Lin, Y-C; Abbod, MF; Shieh, J-S |
| 2012 | Optimization the initial weights of artificial neural networks via genetic algorithm applied to hip bone fracture prediction | Chang, Y-T; Lin, J; Shieh, J-S; Abbod, MF |
| 3-Feb-2021 | Pain and Stress Detection Using Wearable Sensors and Devices—A Review | Chen, J; Abbod, M; Shieh, J-S |
| 24-Jun-2023 | Pain scores estimation using surgical pleth index and long short-term memory neural networks | Abdel Deen, OMT; Jean, W-H; Fan, S-Z; Abbod, MF; Shieh, J-S |
| 2015 | Simple tai chi exercise for improving elderly postural stability via complexity index analysis | Huang, C-W; Chen, W-H; Chu, H-H; Jiang, BC; Abbod, M; Shieh, J-S |
| 31-Oct-2019 | Special Issue "Advanced Signal Processing in Intelligent Systems for Health Monitoring". | Abbod, M; Shieh, J-S |
| 1-Jul-2019 | Special Issue on Advanced Signal Processing in Intelligent Systems for Health Monitoring | Abbod, M; Shieh, J-S |
| 2019 | Spectrum analysis of EEG signals using CNN to model patient’s consciousness level based on anesthesiologists’ experience | Liu, Q; Cai, J; Fan, S-Z; Abbod, MF; Shieh, J-S; Kung, Y; Lin, L |
| 2012 | Two-dimensional matrix algorithm using detrended fluctuation analysis to distinguish Burkitt and diffuse large B-cell lymphoma | Yeh, R-G; Lin, C-W; Abbod, MF; Shieh, J-S |
| 2020 | Using Artificial Neural Network to Predict a Variety of Pathogenic Microorganisms | Liao, Y-H; Yu, Y-N; Abbod, M; Shih, C-H; Shieh, J-S |
