• 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, ...
    • Artificial intelligence implementations on the blockchain. Use cases and future applications 

      Sgantzos K., Grigg I. (2019)
      An exemplary paradigm of how an AI can be a disruptive technological paragon via the utilization of blockchain comes straight from the world of deep learning. Data scientists have long struggled to maintain the quality of ...
    • ASPIDA: An Observatory for Security and Privacy in the Greek e-Business Sector 

      Vlachos V., Katevas G., Katsidimas I., Kerimakis E., Nikoletseas S., Panagiotou S., Spirakis P. (2021)
      Modern e-business policy aims to better frame and steer progress and advancements towards a legal and security aware framework. However, a large percentage of cases neglects the adoption of good security practices, exposing ...
    • Augmented Bridges: Investigating the potential of augmented reality for the design of configurable bridges 

      Symeonidou I., Weissenböck R., Efstathiadis A. (2022)
      The paper expands on the potential of using Augmented Reality (AR) for the design and customization of bridges. Following a literature review on the use of AR in architectural design, and in particular in design education, ...
    • Bulk-loading and bulk-insertion algorithms for xBR +-trees in Solid State Drives 

      Roumelis G., Fevgas A., Vassilakopoulos M., Corral A., Bozanis P., Manolopoulos Y. (2019)
      Spatial indexes are important in spatial databases for efficient execution of queries involving spatial constraints. The xBR +-tree is a balanced, disk-resident, Quadtree-based index for point data, which is very efficient ...
    • Combining distributed and centralised approaches to develop a hybrid methodology for data management in healthcare 

      Kontzinos C., Kapsalis P., Mouzakitis S., Kontoulis M., Markaki O., Askounis D., Karanikas H., Christodoulakis A., Dimitrakopoulos P. (2020)
      In the 21st century, the combination of rapid technological developments as well as the adoption of emerging technologies has impacted almost every area of everyday life. These developments have even affected domains that ...
    • A converged network architecture for energy efficient mobile cloud computing 

      Tzanakaki, A.; Anastasopoulos, M. P.; Peng, S.; Rofoee, B.; Yan, Y.; Simeonidou, D.; Landi, G.; Bernini, G.; Ciulli, N.; Riera, J. F.; Escalona, E.; Garcia-Espin, J. A.; Katsalis, K.; Korakis, T. (2014)
      Mobile computation offloading has been identified as a key enabling technology to overcome the inherent processing power and storage constraints of mobile end devices. To satisfy the low-latency requirements of content-rich ...
    • Data protection in smart cities: Application of the EU GDPR 

      Stefanouli M., Economou C. (2019)
      Urban growth, combined with the development of digital technology, has led to the recent boom of smart cities worldwide. Smart cities make use of all available information and communications technology in the built environment ...
    • Data Replication and Virtual Machine Migrations to Mitigate Network Overhead in Edge Computing Systems 

      Tziritas N., Koziri M., Bachtsevani A., Loukopoulos T., Stamoulis G., Khan S.U., Xu C.-Z. (2017)
      Several virtual machine (VM) placement algorithms have been proposed and studied in the literature with various scopes such as server consolidation or network cost minimization. In most cases, decisions on VM migrations ...
    • Design and optimization of a Holweck pump via linear kinetic theory 

      Naris, S.; Koutandou, E.; Valougeorgis, D. (2012)
      The Holweck pump is widely used in the vacuum pumping industry. It can be a self standing apparatus or it can be part of a more advanced pumping system. It is composed by an inner rotating cylinder (rotor) and an outer ...
    • A distributed data allocation scheme for autonomous nodes 

      Kolomvatsos K., Oikonomou P., Koziri M., Loukopoulos T. (2018)
      The limited computational and storage capabilities of the devices interconnected in Internet of Things (IoT) make them to host only a sub-set of the the collected data. Every device, i.e., an IoT node, should keep only the ...
    • Double chain-star: An RDF indexing scheme for fast processing of SPARQL joins 

      Meimaris M., Papastefanatos G. (2016)
      State of the art RDF stores often rely on exhaustive indexing and sequential (self-)joins for SPARQL query processing. However, query execution is dependent on, and often limited by the underlying storage and indexing ...
    • Economics of mobile data offloading 

      Gao, L.; Iosifidis, G.; Huang, J.; Tassiulas, L. (2013)
      Mobile data offloading is a promising approach to alleviate network congestion and enhance quality of service (QoS) in mobile cellular networks. In this paper, we investigate the economics of mobile data offloading through ...
    • An efficient algorithm for bulk-loading xBR+-trees 

      Roumelis G., Vassilakopoulos M., Corral A., Manolopoulos Y. (2018)
      A major part of the interface to a database is made up of the queries that can be addressed to this database and answered (processed) in an efficient way, contributing to the quality of the developed software. Efficiently ...
    • Evaluation of heterogeneous scheduling algorithms for wavefront and tile parallelism in video coding 

      Panagou N., Koziri M., Papadopoulos P.K., Oikonomou P., Tziritas N., Kolomvatsos K., Loukopoulos T., Khan S.U. (2019)
      Video is by far the “biggest” Big Data, stretching network and storage capacity to their limits. To handle the situation, video compression has been an active field of study for many years, producing output of huge commercial ...
    • An evaluation of indirubin analogues as phosphorylase kinase inhibitors 

      Begum, J.; Skamnaki, V. T.; Moffatt, C.; Bischler, N.; Sarrou, J.; Skaltsounis, A. L.; Leonidas, D. D.; Oikonomakos, N. G.; Hayes, J. M. (2015)
      Phosphorylase kinase (PhK) has been linked with a number of conditions such as glycogen storage diseases, psoriasis, type 2 diabetes and more recently, cancer (Camus et al., 2012 [6]). However, with few reported structural ...
    • The EvoGen benchmark suite for evolving RDF data 

      Meimaris M., Papastefanatos G. (2016)
      Artificial and synthetic data are widely used for benchmarking and evaluating database, storage and query engines. This is usually performed in static contexts with no evolution in the data. In the context of evolution ...
    • An explainable semi-personalized federated learning model 

      Demertzis K., Iliadis L., Kikiras P., Pimenidis E. (2022)
      Training a model using batch learning requires uniform data storage in a repository. This approach is intrusive, as users have to expose their privacy and exchange sensitive data by sending them to central entities to be ...
    • Extended characteristic sets: Graph indexing for SPARQL Query Optimization 

      Meimaris M., Papastefanatos G., Mamoulis N., Anagnostopoulos I. (2017)
      SPARQL query execution in state of the art RDF engines depends on, and is often limited by the underlying storage and indexing schemes. Typically, these systems exhaustively store permutations of the standard three-column ...
    • Extreme Interval Electricity Price Forecasting of Wholesale Markets Integrating ELM and Fuzzy Inference 

      Bhagat M., Alamaniotis M., Fevgas A. (2019)
      The electricity wholesale market is inherently volatile in a deregulated market structure where market participants like power generators and retailors drive the price of electricity. Timely forecasting of the wholesale ...