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Papers by Kyriaki Tychola

Research paper thumbnail of Tactile IoT and 5G & beyond schemes as key enabling technologies for the future metaverse

Telecommunication Systems

The Tactile Internet (TI) is a recently emerging field that has been developing and evolving to d... more The Tactile Internet (TI) is a recently emerging field that has been developing and evolving to date, since its communications parallel the sense of human touch. Lately, the revolutionized concept, Metaverse, draws attention due to the evolved immersive experience of human perception of the surrounding environment. This technology supports the ultimate union between the physical and virtual world, facilitated by 5G and beyond communication networks. Users are capable of interacting with machines and devices in real-time, remotely, resembling the actions of their physical counterparts. The particular approaches are still in their infancy and expected to produce spectacular results in various sectors such as industry, healthcare, autonomous vehicles, etc. This immersion is further assisted by the Internet of Things, while expecting full wireless support by 5G networks. In this article, a systematic review studies the domains of TI, 5G and beyond networks, as well as their relations wi...

Research paper thumbnail of Quantum Machine Learning—An Overview

Electronics

Quantum computing has been proven to excel in factorization issues and unordered search problems ... more Quantum computing has been proven to excel in factorization issues and unordered search problems due to its capability of quantum parallelism. This unique feature allows exponential speed-up in solving certain problems. However, this advantage does not apply universally, and challenges arise when combining classical and quantum computing to achieve acceleration in computation speed. This paper aims to address these challenges by exploring the current state of quantum machine learning and benchmarking the performance of quantum and classical algorithms in terms of accuracy. Specifically, we conducted experiments with three datasets for binary classification, implementing Support Vector Machine (SVM) and Quantum SVM (QSVM) algorithms. Our findings suggest that the QSVM algorithm outperforms classical SVM on complex datasets, and the performance gap between quantum and classical models increases with dataset complexity, as simple models tend to overfit with complex datasets. While ther...

Research paper thumbnail of Identifying Historic Buildings over Time through Image Matching

Technologies

The buildings in a city are of great importance. Certain historic buildings are landmarks and ind... more The buildings in a city are of great importance. Certain historic buildings are landmarks and indicate the city’s architecture and culture. The buildings over time undergo changes because of various factors, such as structural changes, natural disaster damages, and aesthetic interventions. The form of buildings in each period is perceived and understood by people of each generation, through photography. Nevertheless, each photograph has its own characteristics depending on the camera (analog or digital) used for capturing it. Any photo, even depicting the same object, is impossible to capture in the same way in terms of illumination, viewing angle, and scale. Hence, to study two or more photographs depicting the same object, first they should be identified and then properly matched. Nowadays, computer vision contributes to this process by providing useful tools. In particular, for this purpose, several feature detection and description algorithms of homologous points have been devel...

Research paper thumbnail of On 3D Reconstruction Using RGB-D Cameras

Digital

The representation of the physical world is an issue that concerns the scientific community study... more The representation of the physical world is an issue that concerns the scientific community studying computer vision, more and more. Recently, research has focused on modern techniques and methods of photogrammetry and stereoscopy with the aim of reconstructing three-dimensional realistic models with high accuracy and metric information in a short time. In order to obtain data at a relatively low cost, various tools have been developed, such as depth cameras. RGB-D cameras are novel sensing systems that capture RGB images along with per-pixel depth information. This survey aims to describe RGB-D camera technology. We discuss the hardware and data acquisition process, in both static and dynamic environments. Depth map sensing techniques are described, focusing on their features, pros, cons, and limitations; emerging challenges and open issues to investigate are analyzed; and some countermeasures are described. In addition, the advantages, disadvantages, and limitations of RGB-D camer...

Research paper thumbnail of Tactile IoT and 5G & beyond schemes as key enabling technologies for the future metaverse

Telecommunication Systems

The Tactile Internet (TI) is a recently emerging field that has been developing and evolving to d... more The Tactile Internet (TI) is a recently emerging field that has been developing and evolving to date, since its communications parallel the sense of human touch. Lately, the revolutionized concept, Metaverse, draws attention due to the evolved immersive experience of human perception of the surrounding environment. This technology supports the ultimate union between the physical and virtual world, facilitated by 5G and beyond communication networks. Users are capable of interacting with machines and devices in real-time, remotely, resembling the actions of their physical counterparts. The particular approaches are still in their infancy and expected to produce spectacular results in various sectors such as industry, healthcare, autonomous vehicles, etc. This immersion is further assisted by the Internet of Things, while expecting full wireless support by 5G networks. In this article, a systematic review studies the domains of TI, 5G and beyond networks, as well as their relations wi...

Research paper thumbnail of Quantum Machine Learning—An Overview

Electronics

Quantum computing has been proven to excel in factorization issues and unordered search problems ... more Quantum computing has been proven to excel in factorization issues and unordered search problems due to its capability of quantum parallelism. This unique feature allows exponential speed-up in solving certain problems. However, this advantage does not apply universally, and challenges arise when combining classical and quantum computing to achieve acceleration in computation speed. This paper aims to address these challenges by exploring the current state of quantum machine learning and benchmarking the performance of quantum and classical algorithms in terms of accuracy. Specifically, we conducted experiments with three datasets for binary classification, implementing Support Vector Machine (SVM) and Quantum SVM (QSVM) algorithms. Our findings suggest that the QSVM algorithm outperforms classical SVM on complex datasets, and the performance gap between quantum and classical models increases with dataset complexity, as simple models tend to overfit with complex datasets. While ther...

Research paper thumbnail of Identifying Historic Buildings over Time through Image Matching

Technologies

The buildings in a city are of great importance. Certain historic buildings are landmarks and ind... more The buildings in a city are of great importance. Certain historic buildings are landmarks and indicate the city’s architecture and culture. The buildings over time undergo changes because of various factors, such as structural changes, natural disaster damages, and aesthetic interventions. The form of buildings in each period is perceived and understood by people of each generation, through photography. Nevertheless, each photograph has its own characteristics depending on the camera (analog or digital) used for capturing it. Any photo, even depicting the same object, is impossible to capture in the same way in terms of illumination, viewing angle, and scale. Hence, to study two or more photographs depicting the same object, first they should be identified and then properly matched. Nowadays, computer vision contributes to this process by providing useful tools. In particular, for this purpose, several feature detection and description algorithms of homologous points have been devel...

Research paper thumbnail of On 3D Reconstruction Using RGB-D Cameras

Digital

The representation of the physical world is an issue that concerns the scientific community study... more The representation of the physical world is an issue that concerns the scientific community studying computer vision, more and more. Recently, research has focused on modern techniques and methods of photogrammetry and stereoscopy with the aim of reconstructing three-dimensional realistic models with high accuracy and metric information in a short time. In order to obtain data at a relatively low cost, various tools have been developed, such as depth cameras. RGB-D cameras are novel sensing systems that capture RGB images along with per-pixel depth information. This survey aims to describe RGB-D camera technology. We discuss the hardware and data acquisition process, in both static and dynamic environments. Depth map sensing techniques are described, focusing on their features, pros, cons, and limitations; emerging challenges and open issues to investigate are analyzed; and some countermeasures are described. In addition, the advantages, disadvantages, and limitations of RGB-D camer...