• Auction mechanisms for network resource allocation 

      Koutsopoulos, I.; Iosifidis, G. (2010)
      In the autonomic Internet of the future, auction mechanisms arise as key methods for realizing efficient resource allocation. The major asset of auctions is their obliviousness to node utilities, which renders them capable ...
    • Change detection and convolution neural networks for fall recognition 

      Georgakopoulos S.V., Tasoulis S.K., Mallis G.I., Vrahatis A.G., Plagianakos V.P., Maglogiannis I.G. (2020)
      Accurate fall detection is a crucial research challenge since the time delay from fall to first aid is a key factor that determines the consequences of a fall. Wearable sensors allow a reliable way for motion tracking, ...
    • Cooperative approaches for dymanic wireless charging of Electric Vehicles in a smart city 

      Maglaras, L. A.; Topalis, F. V.; Maglaras, A. L. (2014)
      In this paper, a method of electric vehicles charging with the use of large truck/bus vehicles moving along national highways and provincial roads is proposed and described. The method relies on charging vehicles from ...
    • Deep learning and change detection for fall recognition 

      Tasoulis S.K., Mallis G.I., Georgakopoulos S.V., Vrahatis A.G., Plagianakos V.P., Maglogiannis I.G. (2019)
      Early fall detection is a crucial research challenge since the time delay from fall to first aid is a key factor that determines the consequences of a fall. Wearable sensors allow a reliable way for daily-life activities ...
    • ETH analysis and predictions utilizing deep learning 

      Zoumpekas T., Houstis E., Vavalis M. (2020)
      This paper attempts to provide a data analysis of cryptocurrency markets. Such markets have been developed rapidly and their volatility poses significant research challenges and justifies intensive behavior analysis. For ...
    • Exploring the Big Data Usage in Transport Modelling 

      Tzika-Kostopoulou D., Nathanail E. (2021)
      Continuous growth of information and the increasing volume of data with high coverage in space and time open up new possibilities in the field of transport planning. In recent years, there is great research interest in how ...
    • Handling big data: research challenges and future directions 

      Anagnostopoulos I., Zeadally S., Exposito E. (2016)
      Today, an enormous amount of data is being continuously generated in all walks of life by all kinds of devices and systems every day. A significant portion of such data is being captured, stored, aggregated and analyzed ...