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Use of Mobile Devices in the Classroom to Increase Motivation and Participation of Engineering University Students.

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Analyzing the Applicability of a Multi-Criteria Decision Method in Fog Computing Placement Problem., , and . FMEC, page 13-20. IEEE, (2019)Multi-objective application placement in fog computing using graph neural network-based reinforcement learning., and . J. Supercomput., 80 (19): 27073-27094 (December 2024)Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization., , and . Future Gener. Comput. Syst., (2024)Performance assessment of intelligent distributed systems through software performance ontology engineering (SPOE)., , , , , and . Softw. Qual. J., 15 (1): 53-67 (2007)Comparing Evolutionary Optimization Algorithms for the Fog Service Placement Problem., , and . UCC, page 57. ACM, (2023)Web Operational Analysis Through Performance-Related Ontologies in OWL for Intelligent Applications., , and . ICWE, volume 3579 of Lecture Notes in Computer Science, page 612-614. Springer, (2005)Genetic-based fog colony optimization hybridized with hierarchical clustering and its influence in the placement of fog services., , , and . CoRR, (2022)A platform for lightweight deployment of IoT applications based on a Function-as-a-Service model., , , and . CoRR, (2024)Genetic Algorithm for Multi-Objective Optimization of Container Allocation in Cloud Architecture., , and . J. Grid Comput., 16 (1): 113-135 (2018)Indicators and functionalities of exploitation of academic staff CV using semantic web technologies., , and . WWW (Companion Volume), page 1221-1226. ACM, (2014)