T-learning courses are an effective way of education, but their creation is a time-consuming and expensive activity. We explain the process of t-learning courses development as it ...
Kamila Olsevicova, Hana Rohrova, Jaroslava Mikulec...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personâs activities and signiïŹ...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a personâs activities and signiïŹcant plac...
Recent advances in small inexpensive sensors, low-power processing, and activity modeling have enabled applications that use on-body sensing and machine learning to infer people...
Sunny Consolvo, David W. McDonald, Tammy Toscos, M...
AbstractâWe propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...