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A survey of machine learning approaches for age related macular degeneration diagnosis and prediction
(Springer Verlag, 2018)
Age Related Macular Degeneration (AMD) is a complex disease caused by the interaction of multiple genes and environmental factors. AMD is the leading cause of visual dysfunction and blindness in developed countries, and a ...
Machine learning approach for pre-eclampsia risk factors association
(Association for Computing Machinery, 2018)
The preeclampsia/eclampsia syndrome is a multisystem disorder that usually includes cardiovascular changes, hematologic abnormalities, hepatic and renal impairment, and neurologic or cerebral manifestations. Preeclampsia ...
Human activity recognition on mobile devices using artificial hydrocarbon networks
(Springer Verlag, 2018)
Human activity recognition (HAR) aims to classify and identify activities based on data-driven from different devices, such as sensors or cameras. Particularly, mobile devices have been used for this recognition task. ...
Predicting climate conditions using internet-of- things and artificial hydrocarbon networks
(IMEKO-International Measurement Federation Secretariat, 2018-02)
The prediction and understanding of environmental conditions is of great importance to prevent and analyze changes in environment, supporting meteorological based sectors, such as agriculture. In that sense, this paper ...
A new vision-based method using deep learning for damage inspection in wind turbine blades
(Institute of Electrical and Electronics Engineers Inc., 2018)
Wind turbines are having great impact in the field of clean energies. However, there is a need to improve these technologies in various aspects, such as: Maintenance, energy storage, cases of overload or mechanical failure. ...