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Application Sequence Prediction for Energy Consumption Reduction in Mobile Systems.

, , , and . CIT/IUCC/DASC/PICom, page 23-30. IEEE, (2015)

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Application Sequence Prediction for Energy Consumption Reduction in Mobile Systems., , , and . CIT/IUCC/DASC/PICom, page 23-30. IEEE, (2015)Prediction of Risk Factors for Fall using Bayesian Networks with Partial Health Information., , , , , and . GLOBECOM (Workshops), page 1-6. IEEE, (2020)Sensing user context and habits for run-time energy optimization., , , , and . EURASIP J. Embed. Syst., (2017)Conflicts in Human-Machine Systems as an Intersection of Bio- and Technosphere: Cooperation and Interaction Patterns for Human and Machine Interference and Conflict Resolution., , , , , , , , and . ICHMS, page 1-6. IEEE, (2020)Machine learning for improving mobile user satisfaction., , , and . SAC, page 1200-1207. ACM, (2019)Modélisation et simulation multi-agents pour la gestion des tâches entre véhicules et infrastructures dans le cadre de la ville intelligente (démonstration)., and . JFSMA, page 129-132. Cépaduès, (2022)An Intelligent Agent-Based Personalized Information System., , , and . HCI (4), page 597-601. Lawrence Erlbaum, (2003)Simulation de perception humaine limitée : étude de l'influence d'un paramètre de seuil (présentation courte)., , , and . JFSMA, page 169-178. Cepadues Editions, (2011)An Energy-Aware Learning Agent for Power Management in Mobile Devices., , and . IEA/AIE (1), volume 10350 of Lecture Notes in Computer Science, page 242-245. Springer, (2017)Agent mining approaches: an ontological view., , , and . Knowl. Eng. Rev., (2021)