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Cloud Based Assistive Technologies and Smart Living Environment System.

, , , and . MONAMI, volume 141 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 358-369. Springer, (2014)

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Cloud Based Assistive Technologies and Smart Living Environment System., , , and . MONAMI, volume 141 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 358-369. Springer, (2014)Suppression of Intensive Care Unit False Alarms Based on the Arterial Blood Pressure Signal., , , , and . IEEE Access, (2017)Architecture for Collecting and Analysing Data from Sensor Devices., , , , , , and . ICT Innovations, volume 1740 of Communications in Computer and Information Science, page 121-132. Springer, (2022)Short-term air pollution forecasting based on environmental factors and deep learning models., , , , , , and . FedCSIS, volume 21 of Annals of Computer Science and Information Systems, page 15-22. (2020)Towards application of non-invasive environmental sensors for risks and activity detection., , , and . ICCP, page 27-33. IEEE, (2016)Are central-zone restaurants better for consumers? -An analytical approach., , , , and . IEEE BigData, page 5963-5965. IEEE, (2021)Teenagers from Centre of Portugal: Nutrition and Physical Activity Data., , , , , , and . CSAI, page 8-14. ACM, (2020)Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets., , , and . FedCSIS, volume 2 of Annals of Computer Science and Information Systems, page 387-394. (2014)Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification., , , , , and . Sensors, 20 (14): 3906 (2020)Machine Learning Techniques with ECG and EEG Data: An Exploratory Study., , , , , , and . Comput., 9 (3): 55 (2020)