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An IoT-Belief Rule Base Smart System to Assess Autism
International Islamic University Chittagong, Bangladesh.
Jahangirnagar University, Dhaka, Bangladesh.
University of Chittagong, Bangladesh.ORCID-id: 0000-0002-7473-8185
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-0244-3561
2018 (engelsk)Inngår i: Proceedings of the 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT 2018), IEEE, 2018, s. 671-675Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

An Internet-of-Things (IoT)-Belief Rule Base (BRB) based hybrid system is introduced to assess Autism spectrum disorder (ASD). This smart system can automatically collect sign and symptom data of various autistic children in realtime and classify the autistic children. The BRB subsystem incorporates knowledge representation parameters such as rule weight, attribute weight and degree of belief. The IoT-BRB system classifies the children having autism based on the sign and symptom collected by the pervasive sensing nodes. The classification results obtained from the proposed IoT-BRB smart system is compared with fuzzy and expert based system. The proposed system outperformed the state-of-the-art fuzzy system and expert system.

sted, utgiver, år, opplag, sider
IEEE, 2018. s. 671-675
Serie
International Conference on Electrical Engineering and Information Communication Technology, ISSN 2475-1995
HSV kategori
Forskningsprogram
Distribuerade datorsystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-70527DOI: 10.1109/CEEICT.2018.8628131ISI: 000459239000127Scopus ID: 2-s2.0-85062777292ISBN: 978-1-5386-8279-1 (digital)ISBN: 978-1-5386-8280-7 (tryckt)OAI: oai:DiVA.org:ltu-70527DiVA, id: diva2:1240618
Konferanse
The 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT 2018), Dhaka, Bangladesh, September 13-15, 2018
Tilgjengelig fra: 2018-08-21 Laget: 2018-08-21 Sist oppdatert: 2021-10-22bibliografisk kontrollert

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Hossain, Mohammad ShahadatAndersson, Karl

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