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Found 4 papers, 1 papers with code
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises
The classification problem was to predict the known level of the in-exercise loads (in three categories by calories) by the heart rate activity features measured during the short period of time (1 minute only) after training, i. e by features of the post-exercise load.
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti
A new image dataset of these carved Glagolitic and Cyrillic letters (CGCL) was assembled and pre-processed for recognition and prediction by machine learning methods.
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load
Several statistical and machine learning methods are proposed to estimate the type and intensity of physical load and accumulated fatigue .
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation
Lossless data augmentation of the segmented dataset leads to the lowest validation loss (without overfitting) and nearly the same accuracy (within the limits of standard deviation) in comparison to the original and other pre-processed datasets after lossy data augmentation.
