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Search Results - training errors
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The use of evaluation in the design and development of interactive medical record systems
Published 2018“…During the first two sessions the subjects are trained to use the system. During the third and last session the subjects are videotaped while they are doing a set of benchmark tasks on the system under evaluation. …”
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Inter and intra-laboratory variability of CD4 : a pragmatic analysis
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Reliability, validity and sensitivity of a submaximal exercise test to monitor recovery and performance in elite rowers
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The development of a novel method to identify and describe driving events using only MEMS-sensors in an unmounted smartphone.
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A retrospective audit of medication prescription records in critical care units of a tertiary hospital in the Cape metropole
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Egyptian EFL Writers’ and Instructors’ Perceptions of Peer Written Feedback
Published 2022“…The data shows that peers prioritise almost the same writing features as teachers; however, there is a large gap in the instances of highlighting the errors in those features. Moreover, L2 writers in Egypt perceive the PF and TF uptake in roughly the same way. …”
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Open-set recognition using extreme value theory
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The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria
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ARIMA model and neural network: a comparative study of crime rate modelling
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Proprioception, jumping capacity and agility in beach versus indoor volleyball players
Published 2022“…If eligible to continue to take part in the study, participants completed two questionnaires (Training and Injury History questionnaire and OSTRC (Oslo Sports Trauma Research Centre) questionnaire), after which they completed seven physical tests (the wedge test, two-point discrimination test, modified balance error scoring system (mBESS) test, modified star excursion balance test (mSEBT), knee-to-wall test, single leg hamstring bridge test (SLHBT) and eccentric-concentric calf raise test). …”
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Artificial neural network modeling of heat transfer in a staggered cross-flow tube type heat exchanger
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A physics-informed neural network modelling methodology to analyse integrated thermofluid systems
Published 2025“…Physics-informed neural networks (PINNs) were developed to overcome the limitations of acquiring large training datasets that are commonly encountered when using purely data-driven machine learning methods. …”
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Comparison of stochastic streamflow generators and the use thereof within the water resources yield model and MIKE Hydro Basin
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Predictive models for smart vineyards
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Machine Learning Applications to Static Timing Analysis
Published 2022“…We showed how to obtain the continuous time transfer function of the reduced system from the trained S-RNN weights. These S-RNN models outperformed other model order reduction techniques reported in selected literature.…”
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An investigation into the dynamic implementation of a 16-electrode FDM Electrical Impedance Tomography System
Published 2024“…Boundary measurements simulated using the Finite Element Method (with added Gaussian noise), produce a more representative training database than the empirical training methods used previously. 4. …”
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Implementation of adaptive neuro fuzzy inference system for malaria diagnosis. (A case study at Kwesimintsim Polyclinic)
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