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A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living
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Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks
Arifoglu, D., & Bouchachia, A. (2019) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.01.005 · Cited by 120
Artificial intelligence-based semantic internet of things in a user-centric smart city
Guo, K., Lu, Y., Gao, H., & Cao, R. (2018) · Sensors · doi:10.3390/s18051341 · Cited by 104
Real-time secure health surveillance for smarter health communities
Alabdulatif, A., Khalil, I., Forkan, A. R. M., & Atiquzzaman, M. (2019) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700547 · Cited by 54
Self-citation
Metadata
- Authors
- Forkan, A. R. M., Khalil, I., Tari, Z., Foufou, S., & Bouras, A.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 48
- Issue
- 3
- Pages
- 628-641
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W1983899894
- Cited by
- 205
- References
- 6
- FWCI
- 13.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Funders
- NICTA (National ICT Australia)
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- Forkan, A. R. M., Khalil, I., Tari, Z., Foufou, S., & Bouras, A. (2015). A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living. Pattern Recognition. https://doi.org/10.1016/j.patcog.2014.07.007
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