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Forkan, Abdur Rahim Mohammad, Khalil, Ibrahim ORCID: 0000-0001-5512-114X, Ibaida, Ayman ORCID: 0000-0003-1581-7219 and Tari, Zahir (2017) BDCaM: Big Data for Context-Aware Monitoring-A Personalized Knowledge Discovery Framework for Assisted Healthcare. IEEE Transactions on Cloud Computing, 5 (4). pp. 628-641. ISSN 2168-7161

Abuadbba, A, Khalil, Ibrahim ORCID: 0000-0001-5512-114X, Ibaida, Ayman ORCID: 0000-0003-1581-7219 and Atiquzzaman, M (2016) Resilient to shared spectrum noise scheme for protecting cognitive radio smart grid readings - BCH based steganographic approach. Ad Hoc Networks, 41. pp. 30-46. ISSN 1570-8705

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Conference or Workshop Item

Mai, V, Khalil, Ibrahim ORCID: 0000-0001-5512-114X and Ibaida, Ayman ORCID: 0000-0003-1581-7219 (2013) Steganography-based access control to medical data hidden in electrocardiogram. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 3 Jul 2013 - 7 Jul 2013, Osaka, Japan.

Ibaida, Ayman ORCID: 0000-0003-1581-7219, Khalil, Ibrahim ORCID: 0000-0001-5512-114X and Van Schyndel, R (2011) A low complexity high capacity ECG signal watermark for wearable sensor-net health monitoring system. In: Computing in Cardiology (CINC 2011), 18 Sep 2011 - 21 Sep 2011, Hangzhou, China.

Ibaida, Ayman ORCID: 0000-0003-1581-7219, Khalil, Ibrahim ORCID: 0000-0001-5512-114X and Al-Shammary, Dhiah ORCID: 0000-0002-7927-2900 (2010) Embedding patients confidential data in ECG signal for healthcare information systems. In: 32nd Annual International Conference of the IEEE EMBS, 31 Aug 2010 - 4 Sep 2010, Buenos Aires, Argentina.

Ibaida, Ayman ORCID: 0000-0003-1581-7219 and Khalil, Ibrahim ORCID: 0000-0001-5512-114X (2010) Distinguishing between ventricular Tachycardia and Ventricular Fibrillation from compressed ECG signal in wireless Body Sensor Networks. In: 32nd Annual International Conference of the IEEE EMBS, 31 Aug 2010 - 4 Sep 2010, Buenos Aires, Argentina.

Ibaida, Ayman ORCID: 0000-0003-1581-7219, Khalil, Ibrahim and Sufi, Fahim (2009) Cardiac abnormalities detection from compressed ECG in wireless telemonitoring using principal components analysis (PCA). In: ISSNIP 2009, 7 Dec 2009 - 10 Dec 2009, Melbourne, Australia.