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Towards application of non-invasive environmental sensors for risks and activity detection.

, , , and . ICCP, page 27-33. IEEE, (2016)

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Cloud-based recognition of complex activities for ambient assisted living in smart homes with non-invasive sensors., , , , and . EUROCON, page 769-774. IEEE, (2017)Towards application of non-invasive environmental sensors for risks and activity detection., , , and . ICCP, page 27-33. IEEE, (2016)Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks., , , , , , , and . Sensors, 21 (9): 3030 (2021)Cluster-size optimization within a cloud-based ETL framework for Big Data., , , , and . IEEE BigData, page 3754-3763. IEEE, (2019)Challenges in data collection in real-world environments for activity recognition., , , , and . EUROCON, page 1-5. IEEE, (2019)Sleep Apnea Detection in Fog Based Ambient Assisted Living System., , , , , , and . RTA-CSIT, volume 2872 of CEUR Workshop Proceedings, page 136-145. CEUR-WS.org, (2021)Securing Patient Information in Connected Healthcare Systems in the Age of Pervasive Data Collection., , and . MeditCom, page 29-33. IEEE, (2023)Energy conservation using ultra low power timers for sustainable environmental monitoring., , , and . MECO, page 1-6. IEEE, (2021)Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices., , , and . FNC/MobiSPC/SEIT, volume 203 of Procedia Computer Science, page 693-698. Elsevier, (2022)Addressing Privacy and Security in Connected Health with Fog Computing., , , and . GOODTECHS, page 255-260. ACM, (2019)