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Hypertuming GRU Neural Networks for Edge Resource Usage Prediction.

, , , , , и . ISCC, стр. 1-8. IEEE, (2021)

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Demetrius Tsanakas

Stylianos Karakantas

Stylianos Liodakis

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Stylianos Velegrakis

 

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Predicting Visitor Distribution for Large Events in Smart Cities., , , , , и . BigComp, стр. 1-8. IEEE, (2019)Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network., , , , , и . Comput. Networks, (2022)Next Position Prediction using LSTM Neural Networks., , , , и . SETN, стр. 232-240. ACM, (2020)A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means., , , и . Future Gener. Comput. Syst., (2024)Hypertuming GRU Neural Networks for Edge Resource Usage Prediction., , , , , и . ISCC, стр. 1-8. IEEE, (2021)Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction., , , , , и . CoRR, (2023)Enabling Artificial Intelligent Virtual Sensors in an IoT Environment., , , и . Sensors, 23 (3): 1328 (февраля 2023)Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge., , , , и . GECON, том 12441 из Lecture Notes in Computer Science, стр. 67-74. Springer, (2020)Predicting Resource Usage in Edge Computing Infrastructures with CNN and a Hybrid Bayesian Particle Swarm Hyper-parameter Optimization Model., , , , и . SAI (2), том 284 из Lecture Notes in Networks and Systems, стр. 562-580. Springer, (2021)An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction., , , и . MobiWac, стр. 25-32. ACM, (2021)