… measurement unit (IMU) devices can aid in monitoring home exercise by analyzing exercise
biomechanics. The objective of this study is to evaluate machine learning … machine learning …

… GRNN machine learning to estimate MTC height from inertial sensor signals. The research
question addressed in the present investigation was whether GRNN machine learning would …

… Physical phantom measurements are commonly employed to determine the field-specific …
machine time, measurement uncertainties and intensive labor. In this study, a machine learning…

… of different measurements with faults (ie which of 42 measurements are highly correlated
with faulty units). Area B concerns the identification of the most important measurement …

… This is achieved with the development of a novel, machine learning supported methodology
… selection algorithm and powerful machine learning regression algorithms are employed to …

… whether an inertial measurement unit (IMU), in combination with machine learning, could …
Data were analysed using four machine learning models. A two-way repeated-measures …

… This study investigated whether machine learning models could accurately measure fast
bowling events using a range of different IMU sampling frequencies. All models exhibited high …

… Papers describing applications of machine learning to … machine learning to analyse routinely
collected ICU data with a focus on the purposes of the application, type of machine learning …

… high sampling-rate sensors combined with machine learning to fully automatically classify
gait. … GC was trained using several machine-learning approaches, both from feature-extracted …

… A supervised machine learning model is generated to classify normal and abnormal … units
and exploit the attack dataset. In the proposed approach, we applied several machine learning …