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Parallel software architecture for the next generation of glucose monitoring.

, и . EUSPN/ICTH, том 141 из Procedia Computer Science, стр. 279-286. Elsevier, (2018)

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Jürgen Tomas

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Prediction of Interstitial Glucose Level.. IEEE Trans. Information Technology in Biomedicine, 16 (1): 136-142 (2012)Maintaining Communication Channels for Migrating Processes in the Environment of Active Networks., и . Parallel and Distributed Computing and Networks, стр. 100-105. IASTED/ACTA Press, (2005)Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels., , , , , , и . ISCC, стр. 1056-1061. IEEE, (2019)Modelling of Glucose Dynamics for Diabetes.. IWBBIO (1), том 10208 из Lecture Notes in Computer Science, стр. 314-324. (2017)A Grammatical Evolution Approach for Estimating Blood Glucose Levels., , , , , и . GLOBECOM (Workshops), стр. 1-6. IEEE, (2020)SmartCGMS as a Testbed for a Blood-Glucose Level Prediction and/or Control Challenge with (an FDA-Accepted) Diabetic Patient Simulation., и . EUSPN/ICTH, том 177 из Procedia Computer Science, стр. 354-362. Elsevier, (2020)On-line Blood Glucose Level Calculation., , , , , , и . EUSPN/ICTH, том 98 из Procedia Computer Science, стр. 228-235. Elsevier, (2016)Genetic Programming-based induction of a glucose-dynamics model for telemedicine., , , , , и . J. Netw. Comput. Appl., (2018)Predicting glucose level with an adapted branch predictor., и . Comput. Biol. Medicine, (2022)SmartCGMS as an Environment for an Insulin-Pump Development with FDA-Accepted In-Silico Pre-Clinical Trials., и . EUSPN/ICTH, том 160 из Procedia Computer Science, стр. 322-329. Elsevier, (2019)