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Embedded implementation of modular closed-loop control of diabetes and in silico validation.

, , , , , , and . Healthcom, page 512-517. IEEE, (2013)

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Requirements gathering: the journey., , and . J. Decis. Syst., 25 (Supplement): 302-312 (2016)SOAdapt: A process reference model for developing adaptable service-based applications., , and . Inf. Softw. Technol., 54 (3): 299-316 (2012)Process models for service-based applications: A systematic literature review., and . Inf. Softw. Technol., 53 (5): 424-439 (2011)Service Engineering., , , , , , and . S-CUBE Book, volume 6500 of Lecture Notes in Computer Science, Springer, (2010)Cloud Chaser: real time deep learning computer vision on low computing power devices., , , and . ICMV, volume 11041 of SPIE Proceedings, page 110412Q. SPIE, (2018)Embedded implementation of modular closed-loop control of diabetes and in silico validation., , , , , , and . Healthcom, page 512-517. IEEE, (2013)Synergy-based learning of hybrid position/force control for redundant manipulators., , , and . ICRA, page 3526-3531. IEEE, (1996)Integrating neural networks and knowledge-based systems for robotic control., , and . ICRA, page 1454-1460. IEEE Computer Society, (1989)Multi-Layer Perceptrons with B-Spline Receptive Field Functions., , , and . NIPS, page 684-692. Morgan Kaufmann, (1990)Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition., , and . IJCAI, page 193-198. Morgan Kaufmann, (1989)