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Πλοήγηση ανά Θέμα "Missing values"

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    • Enhancing the Human Health Status Prediction: The ATHLOS Project 

      Anagnostou P., Tasoulis S., Vrahatis A.G., Georgakopoulos S., Prina M., Ayuso-Mateos J.L., Bickenbach J., Bayes-Marin I., Caballero F.F., Egea-Cortés L., García-Esquinas E., Leonardi M., Scherbov S., Tamosiunas A., Galas A., Haro J.M., Sanchez-Niubo A., Plagianakos V., Panagiotakos D. (2021)
      Preventive healthcare is a crucial pillar of health as it contributes to staying healthy and having immediate treatment when needed. Mining knowledge from longitudinal studies has the potential to significantly contribute ...

    • Ensemble based Data Imputation at the Edge 

      Fountas P., Kolomvatsos K. (2020)
      Edge Computing (EC) offers an infrastructure that acts as the mediator between the Cloud and the Internet of Things (IoT). The goal is to reduce the latency that we face when relying on Cloud. IoT devices interact with ...

    • An Ensemble Model for Data Imputation to Support Pervasive Applications 

      Fountas P., Kolomvatsos K. (2022)
      Pervasive Computing (PC) opens up the room for the adoption of devices very close to end users that gives the opportunity to interact with them and execute various applications to facilitate their every day activities. ...

    • Optimizing pervasive sensor data acquisition utilizing missing values substitution 

      Michalopoulos, M.; Maglogiannis, I.; Anagnostopoulos, C.; Doukas, C.; Hadjiefthymiades, S. (2010)
      Acquisition of pervasive sensor data can be often unsuccessful due to power outage at nodes, time synchronization issues, interference, network transmission failures or sensor hardware issues. Such failures can lead to ...