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    Chapter and Conference Paper

    The BB84 Quantum Key Distribution Protocol and Potential Risks

    Quantum computing is not only a revolution in information science, but it is going to cause colossal changes in almost all sciences and especially in telecommunications and cryptography. In this work, we prese...

    Maria E. Sabani, Ilias K. Savvas in Proceedings of Eighth International Congre… (2023)

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    Chapter

    On the Application of Ergodic Theory to an Alternating Series Expansion for Real Numbers

    By considering a general alternating series algorithm introduced by A. and J. Knopfmacher according to which every real number may be expressed by alternating series representations in terms of rationals we pr...

    Chryssoula Ganatsiou, Ilias K. Savvas in Exploring Mathematical Analysis, Approxima… (2023)

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    Chapter and Conference Paper

    Artificial Intelligence Approach to Palladium Nanocatalysts Diagnostics Automation

    The proposed study is devoted to the problem of the new functional nanomaterials diagnostic process automation and acceleration, using advanced instrumental methods. X-ray absorption spectroscopy data allow ev...

    Oleg O. Kartashov, Dmitry S. Polyanichenko in Proceedings of the Seventh International S… (2023)

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    Chapter and Conference Paper

    Experimental Approach of the Quantum Volume on Different Quantum Computing Devices

    Quantum Computing is one of the most promising technology advancements of our time, promising to clarify problems considered unsolved for a classical computer. Real Quantum Computer Devices—once a science fict...

    Ilias P. Galanis, Ilias K. Savvas, Georgia Garani in Intelligent Distributed Computing XIV (2022)

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    Article

    Integrated learning pathways in higher education: A framework enhanced with machine learning and semantics

    The present research work proposes the development of an integrated framework for the personalization and parameterization of learning pathways, aiming at optimizing the quality of the offered services by the ...

    Omiros Iatrellis, Ilias K. Savvas in Education and Information Technologies (2020)

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    Chapter and Conference Paper

    An Intelligent Data Warehouse Approach for Handling Shape-Shifting Constructions

    A growing interest has been shown recently, concerning buildings as well as different constructions that use transformative and mobile attributes for adapting their shape, size and position in response to dif...

    Georgia Garani, Ilias K. Savvas in Proceedings of the Fourth International Sc… (2020)

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    Chapter and Conference Paper

    High Performance Clustering Techniques: A Survey

    We are living in a world of heavy data bombing and the term Big Data is a key issue these days. The variety of applications, where huge amounts of data are produced (can be expressed in PBs and more), is great...

    Ilias K. Savvas, Christos Michos in Proceedings of the Fourth International Sc… (2020)

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    Chapter and Conference Paper

    Data Warehouse Design for Security Applications Using Distributed Ontology-Based Knowledge Representation

    The primary goal of this paper is to develop a distributed ontology-based knowledge representation approach useful for data warehouses design in the security applications area. The paper proposes a novel datab...

    Maria A. Butakova, Andrey V. Chernov in Intelligent Distributed Computing XIII (2020)

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    Chapter and Conference Paper

    Perspectives of Fast Clustering Techniques

    Nowadays, when the data size grows exponentially, it becomes more and more difficult to extract useful information in reasonable time. One very important technique to exploit data is clustering and many algori...

    Ilias K. Savvas, Georgia Garani in Proceedings of the Third International Sci… (2019)

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    Chapter and Conference Paper

    Detection of Point Anomalies in Railway Intelligent Control System Using Fast Clustering Techniques

    This work presents a new area of application for clustering techniques in industrial and transport applications. The main aim of the research is to propose the technique for detection of point anomalies in te...

    Andrey V. Chernov, Ilias K. Savvas in Proceedings of the Third International Sci… (2019)

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    Article

    Performance study of a dynamic task scheduling for heterogeneous distributed systems

    In this paper, we study the problem of scheduling a large number of time-consuming tasks (of different sizes) on a heterogeneous distributed system. The heterogeneity is expressed in terms of the inter-resourc...

    Ilias K. Savvas, M-Tahar Kechadi in Operational Research (2004)