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SMURF: Systematic Methodology for Unveiling Relevant Factors in Retrospective Data on Chronic Disease Treatments.

, , , , , , , and . IEEE Access, (2019)

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Power-awareness and smart-resource management in embedded computing systems., , , , , , , , , and . CODES+ISSS, page 94-103. IEEE, (2015)State-of-the-Art SoC Communication Architectures., , , and . Embedded Systems Handbook, CRC Press, (2005)Accurate Human Tissue Characterization for Energy-Efficient Wireless On-Body Communications., , , and . Sensors, 13 (6): 7546-7569 (2013)Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases., , , and . J. Biomed. Informatics, (2016)Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios., , , and . CoRR, (2023)Heuristics and metaheuristics for dynamic management of computing and cooling energy in cloud data centers., , , and . Softw. Pract. Exp., 48 (10): 1775-1804 (2018)Robust and Accurate Modeling Approaches for Migraine Per-Patient Prediction from Ambulatory Data., , , , , , , and . Sensors, 15 (7): 15419-15442 (2015)Power Impact of Loop Buffer Schemes for Biomedical Wireless Sensor Nodes., , and . Sensors, 12 (11): 15088-15118 (2012)Predictive GPU-based ADAS Management in Energy-Conscious Smart Cities., , , , , and . ISC2, page 349-354. IEEE, (2019)A Unified Framework for Power-Aware Design of Embedded Systems., and . PATMOS, volume 2799 of Lecture Notes in Computer Science, page 239-248. Springer, (2003)