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Cloud-based recognition of complex activities for ambient assisted living in smart homes with non-invasive sensors., , , , и . EUROCON, стр. 769-774. IEEE, (2017)Towards application of non-invasive environmental sensors for risks and activity detection., , , и . ICCP, стр. 27-33. IEEE, (2016)Challenges in data collection in real-world environments for activity recognition., , , , и . EUROCON, стр. 1-5. IEEE, (2019)Cluster-size optimization within a cloud-based ETL framework for Big Data., , , , и . IEEE BigData, стр. 3754-3763. IEEE, (2019)Securing Patient Information in Connected Healthcare Systems in the Age of Pervasive Data Collection., , и . MeditCom, стр. 29-33. IEEE, (2023)Sleep Apnea Detection in Fog Based Ambient Assisted Living System., , , , , , и . RTA-CSIT, том 2872 из CEUR Workshop Proceedings, стр. 136-145. CEUR-WS.org, (2021)Energy conservation using ultra low power timers for sustainable environmental monitoring., , , и . MECO, стр. 1-6. IEEE, (2021)Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices., , , и . FNC/MobiSPC/SEIT, том 203 из Procedia Computer Science, стр. 693-698. Elsevier, (2022)Addressing Privacy and Security in Connected Health with Fog Computing., , , и . GOODTECHS, стр. 255-260. ACM, (2019)A survey of Ambient Assisted Living systems: Challenges and opportunities., , , и . ICCP, стр. 49-53. IEEE, (2016)