• AgroNIT: Innovating Precision Agriculture 

      Moutsinas I., Kalkanof A., Mavridis J., Zafeiris V., Oikonomou F., Tziokas G., Themelis K., Kyriakou K., Theologou C., Serafeim A., Apostolaras A., Maletsika P., Nanos G.D., Korakis T. (2022)
      Major global concerns considering food production include, not only meeting the increasing food demand but also meeting challenges that put significantly less strain on the environment, safeguard food quality and prevent ...
    • A comparative assessment of machine learning algorithms for events detection 

      Tsoukas V., Kolomvatsos K., Chioktour V., Kakarountas A. (2019)
      Nowadays, one can observe massive amount of data production by numerous devices interacting with their environment and end users. [1] Such data can be the subject of advanced processing usually through machine learning ...
    • Connected & autonomous vehicles – Environmental impacts – A review 

      Kopelias P., Demiridi E., Vogiatzis K., Skabardonis A., Zafiropoulou V. (2020)
      Over the last decades the vehicle industry has shown interest in integrating new technologies on vehicles’ design. Such technologies are used in autonomous, connected and electrical vehicles with the primary hope of improving ...
    • The migration of the UTHBAL hydrologic model into OpenMI 

      Loukas, A.; Kokkinos, K.; Vasiliades, L.; Liakopoulos, A. (2008)
      This paper deals with the implementation and the migration into OpenMI of a monthly conceptual hydrological model, called UTHBAL. The model has been developed by Loukas et al. [2003, 2007] and now is implemented under the ...
    • The roles of technology and Kyoto Protocol in energy transition towards COP26 targets: Evidence from the novel GMM-PVAR approach for G-7 countries 

      Dogan E., Chishti M.Z., Karimi Alavijeh N., Tzeremes P. (2022)
      The investigation of the determinants of energy transition has become very attractive and popular due to the Sustainable Development Goals and COP26 targets. However, one shortcoming of the existing studies is the inability ...