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Pereira B, Cunha B, Viana P, Lopes M, Melo ASC, Sousa ASP. A Machine Learning App for Monitoring Physical Therapy at Home.Sensors. 2024; 24(1):158. https://doi.org/10.3390/s24010158 Chicago/Turabian Style Pereira, Bruno, Bruno Cunha, Paula Viana, Maria Lopes, Ana S. C. Melo, and...
A Machine Learning App for Monitoring Physical Therapy at Homedoi:10.3390/s24010158Shoulder rehabilitation is a process that requires physical therapy sessions to recover the mobility of the affected limbs. However, these sessions are often limited by the availability and cost of specialized technicians...
It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives". skynet - A library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#. Feast...
that would be considered supervised learning. When studying independently at home, the student is learning the information without supervision from the teacher. But if the student reviews the information with a teacher in class after learning it, this would be analogous to semi-supervised learning. ...
Deep_Learning看ch04的two_layer_net還有dataset。參考連結點此 Yurei's Demo Code Keras Demo Code fran's review_TwoLayerNN_demo. Feel free to contact me with any questions and further details. Week 17: Introduction to Inner Product Space and Hash Table Yurei&Fran (10/1) Inner Product ...
Tom Mitchell, Founders University Professor at Carnegie Mellon University (CMU) said we should give up zero-sum and cooperate on tech. Error loading player: No playable sources found 03:21 RELATED STORIES Experts share views on how learning Chinese brings new possibilities Video...
" You can't tell this by looking at gender breakdowns. Those may be balanced. And since this is machine learning, not traditional coding, there is no variable there labeled "higher risk of depression," "higher risk of pregnancy," "aggressive guy scale." Not only do you not know what ...
it agrees with the proportion of patients attended in sleep units. This is also consistent with the recommendations of the AASM regarding the use of portable abbreviated testing at home with patients showing high pre-test probability. Nevertheless, as machine-learning algorithms are known to be aff...
It uses machine learning technology to exchange information over a fast network in Korea while minimizing the burden of poor smartphone resources. It is based on the detection of human movements by getting images from a smartphone in real time on the server. Motion recognition and a variety of ...