An Overview of Machine Learning and 5G for People with Disabilities
Currently, 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...
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MDPI AG
2021
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oai:doaj.org-article:adbc66b7d11444609e105d090a9118ed2021-11-25T18:57:32ZAn Overview of Machine Learning and 5G for People with Disabilities10.3390/s212275721424-8220https://doaj.org/article/adbc66b7d11444609e105d090a9118ed2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7572https://doaj.org/toc/1424-8220Currently, 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.Mari Carmen DomingoMDPI AGarticlemachine learning5Gpeople with disabilitieswireless communicationnetwork slicing architectureapplicationsChemical technologyTP1-1185ENSensors, Vol 21, Iss 7572, p 7572 (2021) |
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machine learning 5G people with disabilities wireless communication network slicing architecture applications Chemical technology TP1-1185 |
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machine learning 5G people with disabilities wireless communication network slicing architecture applications Chemical technology TP1-1185 Mari Carmen Domingo An Overview of Machine Learning and 5G for People with Disabilities |
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Currently, 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. |
format |
article |
author |
Mari Carmen Domingo |
author_facet |
Mari Carmen Domingo |
author_sort |
Mari Carmen Domingo |
title |
An Overview of Machine Learning and 5G for People with Disabilities |
title_short |
An Overview of Machine Learning and 5G for People with Disabilities |
title_full |
An Overview of Machine Learning and 5G for People with Disabilities |
title_fullStr |
An Overview of Machine Learning and 5G for People with Disabilities |
title_full_unstemmed |
An Overview of Machine Learning and 5G for People with Disabilities |
title_sort |
overview of machine learning and 5g for people with disabilities |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/adbc66b7d11444609e105d090a9118ed |
work_keys_str_mv |
AT maricarmendomingo anoverviewofmachinelearningand5gforpeoplewithdisabilities AT maricarmendomingo overviewofmachinelearningand5gforpeoplewithdisabilities |
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1718410482760548352 |