See how this article has been cited at scite.ai
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Chandola, V., Banerjee, A., & Kumar, V. (2009). Anomaly detection: A survey. ACM Computing Surveys (CSUR), 41(3), 1-58
Chen, K.-C., & Lien, S.-Y. (2014). Machine-to-machine communications: Technologies and challenges. Ad Hoc Networks, 18, 3-23
Farhad, A, Woolley, S.I, Andras, A, “A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things”, Medical Informatics Europe Conference (MIE), In Public Health and Informatics (pp. 504-505). IOS Press.2021.
Farhad, A., Woolley, S.I., and Andras, P. “Federated learning for AI to improve patient care using wearable and IoMT sensors”, In 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 434-434, IEEE.
Karkouch, A., Mousannif, H., Al Moatassime, H., & Noel, T. (2016a). Data quality in internet of things: A state-of-the-art survey. Journal of Network and Computer Applications, 73, 57-81.
Mohanta, B. K., Jena, D., Satapathy, U., & Patnaik, S. (2020). Survey on IoT Security: Challenges and 14 Solution using Machine Learning, Artificial Intelligence and Blockchain Technology. Internet of Things, 11, 100227.
Perez-Castillo, R., Carretero, A. G., Rodriguez, M., Caballero, I., & Piattini, M. (2018). Data Quality Best Practices in IoT Environments. 2018 International Conference on the Quality of Information and Communications Technology, 272-275
Ray, D., Collins, T., Woolley, S. and Ponnapalli, P., 2021. A Review of Wearable Multi-wavelength Photoplethysmography. IEEE Reviews in Biomedical Engineering, doi: 10.1109/RBME.2021.3121476.
Wei, X., Liu, Y., Wang, X., Sun, B., Gao, S., & Rokne, J. (2019a). A survey on quality-assurance approximate stream processing and applications. Future Generation Computer Systems, 1062-1080.