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VitalSimML- A Well-Formed Data Structure to Capture Patient Monitoring Scenarios to Facilitate the Training of Nurses via Computer-Based Simulation.

, , , , and . CinC, page 421-424. www.cinc.org, (2015)

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Automatic weight selection for mixed sensitivity optimization control of a quadrotor., , and . M2VIP, page 1-6. IEEE, (2017)Eye Tracking the Visual Attention of Nurses Interpreting Simulated Vital Signs Scenarios: Mining Metrics to Discriminate Between Performance Level., , , , , and . IEEE Trans. Hum. Mach. Syst., 48 (2): 113-124 (2018)VitalSimML- A Well-Formed Data Structure to Capture Patient Monitoring Scenarios to Facilitate the Training of Nurses via Computer-Based Simulation., , , , and . CinC, page 421-424. www.cinc.org, (2015)Software evolution of a hexapod robot walking gait., , and . IJISTA, 8 (1/2/3/4): 382-394 (2010)A cost effective high-speed auto-coded embedded model predictive controller., , and . IJISTA, 13 (1/2): 37-55 (2014)A feature based distributed machine learning for post fault restoration of a microgrid under different stochastic scenarios., , and . ISGT Asia, page 1-6. IEEE, (2017)Rigorously modelling steam utility systems for mixed integer optimization., and . A-SSCC, page 526-531. IEEE, (2012)Wearable technology-based metrics for predicting operator performance during cardiac catheterisation., , , , , , , , , and 2 other author(s). Int. J. Comput. Assist. Radiol. Surg., 14 (4): 645-657 (2019)An Eye-Tracking Assessment of Coronary Care Nurses during the Interpretation of Patient Monitoring Scenarios., , , , , and . CinC, www.cinc.org, (2016)