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An intelligent failure detection on a wireless sensor network for indoor climate conditions
(MDPI AG, 2019)
Wireless sensor networks (WSN) involve large number of sensor nodes distributed at diverse locations. The collected data are prone to be inaccurate and faulty due to internal or external influences, such as, environmental ...
Heat transfer coefficient prediction of a porous material by implementing a machine learning model on a CFD data set
(Avestia Publishing, 2019)
During many years, the search for new and improved materials has been an arduous task. It has mainly focused on experimentation and in recent years on computer aided techniques (i.e. numerical simulation). These two ...
UP-fall detection dataset : a multimodal approach
(NLM (Medline), 2019)
Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall detection systems can mitigate negative consequences of falls. Among the important challenges and issues reported in literature ...
Machine learning method to establish the connection between age related macular degeneration and some genetic variations
(Springer Verlag, 2016)
Medicine research based in machine learning methods allows the improvement of diagnosis in complex diseases. Age related Macular Degeneration (AMD) is one of them. AMD is the leading cause of blindness in the world. It ...
A concise review on sensor signal acquisition and transformation applied to human activity recognition and human–robot interaction
(SAGE Publications Ltd., 2019)
Human activitiy recognition deals with the integration of sensing and reasoning aiming to understand better people’s actions. Moreover, it plays an important role in human interaction, human–robot interaction, and ...