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A Flexible Architecture for Cognitive Sensing of Activities in Ambient Assisted Living.

, , , , and . WETICE, page 284-289. IEEE Computer Society, (2017)

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Feature selection for intrusion detection systems., , , and . CoRR, (2021)A scalable semantic framework for IoT healthcare applications., , , , , and . J. Ambient Intell. Humaniz. Comput., 14 (5): 4883-4901 (2023)Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods., , , and . ICIC (2), volume 12837 of Lecture Notes in Computer Science, page 616-627. Springer, (2021)SeMoM, a semantic middleware for IoT healthcare applications. (SeMoM, middleware sémantique pour les applications de santé baséees sur l'internet des objets).. Paul Sabatier University, Toulouse, France, (2017)Comparative analysis of activation functions in neural networks., , , , and . ICECS, page 1-6. IEEE, (2021)Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19., , , , and . Neurocomputing, (April 2023)Neural Networks Architecture for COVID-19 Early Detection., , , and . ISNCC, page 1-6. IEEE, (2021)Semantic Middleware Architectures for IoT Healthcare Applications., , and . Enhanced Living Environments, volume 11369 of Lecture Notes in Computer Science, Springer, (2019)Engineering IoT Healthcare Applications: Towards a Semantic Data Driven Sustainable Architecture., , and . eHealth 360°, volume 181 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 407-418. Springer, (2016)Feature selection for intrusion detection systems., , , and . ISCID, page 265-269. IEEE, (2020)