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Run-time users/applications interaction analysis for power consumption optimization., , , , and . ICEAC, page 181-186. IEEE, (2013)Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2015., , , , , , , , , and 12 other author(s). CoRR, (2015)Mobile- and Context-Aware Applications of Social Networks., , and . Encyclopedia of Social Network Analysis and Mining. 2nd Ed., Springer, (2018)Sensor bean: a component platform for sensor-based services., and . MPAC, volume 115 of ACM International Conference Proceeding Series, page 1-8. ACM, (2005)A Dynamic Service-Oriented Implementation for Java EE Servers., , and . IEEE SCC, page 159-166. IEEE Computer Society, (2006)A Framework for Detecting and Analyzing Behavior Changes of Elderly People over Time Using Learning Techniques., , , , and . Sensors, 20 (24): 7112 (2020)Using Learning Techniques to Observe Elderly's Behavior Changes over Time in Smart Home., , , , and . ICOST, volume 12157 of Lecture Notes in Computer Science, page 129-141. Springer, (2020)Sensing user context and habits for run-time energy optimization., , , , and . EURASIP J. Embed. Syst., (2017)Évaluation de requêtes mobiles par composition dynamique de services., and . Ingénierie des Systèmes d Inf., 18 (1): 107-123 (2013)Evaluation and qualification of mobile application quality., , , and . Int. J. Next Gener. Comput., (2020)