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For: Bahache M, Tahari AEK, Herrera-Tapia J, Lagraa N, Calafate CT, Kerrache CA. Towards an Accurate Faults Detection Approach in Internet of Medical Things Using Advanced Machine Learning Techniques. Sensors (Basel) 2022;22:5893. [PMID: 35957453 PMCID: PMC9371421 DOI: 10.3390/s22155893] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/04/2022] [Accepted: 08/04/2022] [Indexed: 06/15/2023]
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Machine-Learning-Based Detection of Pressure-Induced Faults in Continuous Glucose Monitors. Ind Eng Chem Res 2023. [DOI: 10.1021/acs.iecr.2c03259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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