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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69262
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dc.contributor.authorV., Vijayasarveswari
dc.contributor.authorMuzammil, Jusoh
dc.contributor.authorThennarasan, Sabapathy
dc.contributor.authorRafikha Aliana, A. Raof
dc.contributor.authorS., Khatun
dc.contributor.authorZahari Awang, Ahmad‬
dc.contributor.authorMohamed Nasrun, Osman
dc.date.accessioned2021-01-06T01:12:18Z
dc.date.available2021-01-06T01:12:18Z
dc.date.issued2017
dc.identifier.citationMATEC Web of Conferences, vol.140, 2017, 4 pagesen_US
dc.identifier.issn2261-236X (online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/69262
dc.descriptionLink to publisher's homepage at https://www.matec-conferences.org/en_US
dc.description.abstractBreast cancer is a common disease among women and death figure is continuing to increase. Early breast cancer detection is very important. Ultra wide-band (UWB) is the promising candidate for short communication applications. This paper presents the performance of different types of UWB antennas for breast cancer detection. Two types of antennas are used i.e: UWB pyramidal antenna and UWB horn antenna. These antennas are used to transmit and receive the UWB signal. The collected signals are fed into developed neural network module to measure the performance efficiency of each antenna. The average detection efficiency is 88.46% and 87.55% for UWB pyramidal antenna and UWB horn antenna respectively. These antennas can be used to detect breast cancer in the early stage and save precious lives.en_US
dc.language.isoenen_US
dc.publisherEDP Sciencesen_US
dc.relation.ispartofseries2017 International Conference on Emerging Electronic Solutions for IoT (ICEESI 2017);
dc.subjectBreast canceren_US
dc.subjectUltra wide-band (UWB)en_US
dc.subjectAntennasen_US
dc.titlePerformance Verification on UWB Antennas for Breast Cancer Detectionen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1051/matecconf/201714001004
dc.contributor.urlmuzammil@unimap.edu.myen_US
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