dc.creatorDomingo, M. C.
dc.date.accessioned2021-12-21T20:10:11Z
dc.date.available2021-12-21T20:10:11Z
dc.date.created2021-12-21T20:10:11Z
dc.date.issued2021
dc.identifierDomingo, M. C. (2021). An Overview of Machine Learning and 5G for People with Disabilities. En Sensors (Basel) (Vol. 21, Número 22). https://doi.org/10.3390/s21227572
dc.identifier1424-8220
dc.identifierhttp://repositoriobibliotecas.uv.cl/handle/uvscl/3120
dc.description.abstractCurrently, over a billion people, including children (or about 15% of the world's population), are estimated to be living with disability, and this figure is going to increase to beyond two billion by 2050. People with disabilities generally experience poorer levels of health, fewer achievements in education, fewer economic opportunities, and higher rates of poverty. Artificial intelligence and 5G can make major contributions towards the assistance of people with disabilities, so they can achieve a good quality of life. In this paper, an overview of machine learning and 5G for people with disabilities is provided. For this purpose, the proposed 5G network slicing architecture for disabled people is introduced. Different application scenarios and their main benefits are considered to illustrate the interaction of machine learning and 5G. Critical challenges have been identified and addressed.
dc.languageen_US
dc.publisherSensors (Basel)
dc.subject5G
dc.subjectAPPLICATIONS
dc.subjectMACHINE LEARNING
dc.subjectNETWORK
dc.subjectSLICING ARCHITECTURE
dc.subjectPEOPLE WITH DISABILITIES
dc.subjectRESEARCH
dc.subjectCHALLENGES
dc.subjectWIRELESS
dc.subjectCOMMUNICATION
dc.titleAn Overview of Machine Learning and 5G for People with Disabilities
dc.typeArticulo


Este ítem pertenece a la siguiente institución