Anzeige der Dokumente 1-10 von 10

    • Analytics and Blockchain for Data Integrity in the Pharmaceuticals Industry 

      Kavasidis I., Lallas E., Gerogiannis V.C., Karageorgos A. (2022)
      The data quantity explosion that we witnessed during the last two decades has lead industrial organizations to exploit this sheer amount of data for tasks that previously would seem impossible. However, larger data volumes, ...
    • Applying a Convolutional Neural Network in an IoT Robotic System for Plant Disease Diagnosis 

      Xenakis A., Papastergiou G., Gerogiannis V.C., Stamoulis G. (2020)
      Plant diseases are major threat to green product quality and agricultural productivity. Agronomists and farmers often encounter great difficulties in early detection of plant diseases and controlling their potential ...
    • Approximate kNN Classification for Biomedical Data 

      Anagnostou P., Barbas P., Vrahatis A.G., Tasoulis S.K. (2020)
      We are in the era where the Big Data analytics has changed the way of interpreting the various biomedical phenomena, and as the generated data increase, the need for new machine learning methods to handle this evolution ...
    • Artificial Intelligence, Big Data Analytics, and Smart Cities 

      Kiouvrekis Y., Panagiotakopoulos T., Ouranos I., Filippopoulos I. (2022)
      Modern urban life is seeing an increasing rate of adoption of artificial intelligence and smart solutions; however, citizens are still struggling to keep up the pace, and the rate at which they acquire skills and knowledge ...
    • Big spatial and spatio-temporal data analytics systems 

      Velentzas P., Corral A., Vassilakopoulos M. (2021)
      We are living in the era of Big Data, and Spatial and Spatio-temporal Data are not an exception. Mobile apps, cars, GPS devices, ships, airplanes, medical devices, IoT devices, etc. are generating explosive amounts of data ...
    • Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics 

      Nikitas N., Konstantinou I., Kalogeraki V., Koziris N. (2021)
      While there has been a lot of effort in recent years in optimising Big Data systems like Apache Spark and Hadoop, the all-to-all transfer of data between a MapReduce computation step, i.e., the shuffle data mechanism between ...
    • Evaluating the Effects of Modern Storage Devices on the Efficiency of Parallel Machine Learning Algorithms 

      Akritidis L., Fevgas A., Tsompanopoulou P., Bozanis P. (2020)
      Big Data analytics is presently one of the most emerging areas of research for both organizations and enterprises. The requirement for deployment of efficient machine learning algorithms over huge amounts of data led to ...
    • Intelligent Data Analytics from the Energy Economics of the Greek Debt Crisis 

      Karasimou M.D., Antonenas V., Laitsos V., Polychronides V., Tsoukalas L.H. (2020)
      Intelligent tools are brought to bear on the analysis of energy data from Greece in the period 2010-20. During this period a paradoxical phenomenon is observed namely, an increase in energy productivity in the midst of ...
    • SELIS BDA: Big Data Analytics for the Logistics Domain 

      Provatas N., Kassela E., Chalvantzis N., Bakogiannis A., Giannakopoulos I., Koziris N., Konstantinou I. (2020)
      In this paper we present the SELIS Big Data Analytics and Machine Learning System (BDA), an open-source cloud-enabled elastic system that has been designed and implemented in order to address data related issues from the ...
    • TOMI: A framework for smart tourism on the move innovation 

      Moustaka V., Vakali A., Zikos N., Tsirakidis T., Anthopoulos L.G. (2019)
      Smart technologies advancements, emerging markets competition and sustainability needs have radically changed tourism and transport sectors. The key features of this change are the exploitation of evolving Big Data in the ...