A5050728306- 3D Surveying and Cultural Heritage
- Remote Sensing and LiDAR Applications
- Archaeological Research and Protection
- Image Enhancement Techniques
- Color Science and Applications
- Satellite Image Processing and Photogrammetry
- Soil Mechanics and Vehicle Dynamics
- Evolutionary Algorithms and Applications
- Smart Agriculture and AI
- Human Mobility and Location-Based Analysis
- Video Surveillance and Tracking Methods
- Ethics and Social Impacts of AI
- Robotics and Sensor-Based Localization
- Neural Networks and Applications
- Image and Video Quality Assessment
- Robotics and Automated Systems
- Slime Mold and Myxomycetes Research
- Computability, Logic, AI Algorithms
- Wildlife Conservation and Criminology Analyses
- Autism Spectrum Disorder Research
- Behavioral and Psychological Studies
- Digital Media and Visual Art
- 3D Modeling in Geospatial Applications
- Color perception and design
- Geographic Information Systems Studies
University of the Aegean
2018-2024
International Hellenic University
2020-2023
National Technical University of Athens
2023
Technological Educational Institute of Eastern Macedonia and Thrace
2018
Computer Algorithms for Medicine
2018
Agricultural robotics has been a popular subject in recent years from an academic as well commercial point of view. This is because agricultural addresses critical issues such seasonal shortages manual labor, e.g., during harvest, the increasing concern regarding environmentally friendly practices. On one hand, several individual robots have already developed for specific tasks (e.g., monitoring, spraying, harvesting, transport, etc.) with varying degrees effectiveness. other use cooperative...
Abstract. Nowadays, the necessity of heritage documentation is essential for monitoring, maintenance, and understanding needed conservation. The survey phase has been considerably improved using cutting-edge technologies such as Unmanned Aerial Vehicles (UAV) Terrestrial Laser Scanners (TLS). Both these have applied in individually or combined. Heritage a post-natural disaster situation that requires rapid data acquisition on hazardous field. On 12th June 2017 an earthquake (Mw = 6.3), south...
In this paper, a novel method to modify color images for the protanopia and deuteranopia vision deficiencies is proposed. The admits certain criteria, such as preserving image naturalness contrast enhancement. Four modules are employed in process. First, fuzzy clustering-based segmentation extracts key colors (which cluster centers) of input image. Second, mapped onto CIE 1931 chromaticity diagram. Then, using concept confusion line (i.e., loci confused by color-blind), sophisticated...
Geoinformatics plays an essential role during the recovery phase of a post-earthquake situation. The aim this paper is to present methodology followed and results obtained by utilization Unmanned Aircraft Systems (UASs) 4K-video footage processing automation geo-information methods targeted at both monitoring demolition process mapping demolished buildings. field campaigns took place on traditional settlement Vrisa (Lesvos, Greece), which was heavily damaged strong earthquake (Mw=6.3) June...
Visual stimuli are essential in many applications human robot interaction. However, such tasks usually computationally intensive. Also, data received from the various sensors on a require different representation and processing techniques, which increases complexity makes fusion of sensory for decision making more difficult. An alternative approach is use Lattice Computing (LC) paradigm hybrid mathematical modelling based lattice theory that unifies rigorously numerical non-numerical data....
Abstract. Incorporating emerging surveying technologies, such as unmanned aerial vehicles (UAVs), into architectural education poses multiple challenges. This study places photogrammetry in an academic context and examines its potential impact on conventional methodologies. The methodology presented this outlines theoretical foundations how to deploy them the field. We taught architecture students with no experience basic concepts, we connected framework practical application through a case...
Abstract. Building damage assessment caused by earthquakes is essential during the response phase following a catastrophic event. Modern techniques include terrestrial and aerial photogrammetry based on Structure from Motion algorithm Laser Scanning with latter to prove its superiority in accuracy due high-density point clouds. However, standardized procedures emergency surveys often could not be followed restrictions of outdoor operations because debris or decrepit buildings, high human...
Abstract. The aim of this paper is to present the methodology followed and results obtained by synergistic exploitation geo-information methods towards 3D mapping impact catastrophic earthquake June 12th 2017 on traditional settlement Vrisa island Lesvos, Greece. A campaign took place for collecting: a) more than 150 ground control points using an RTK system, b) 20.000 high-resolution terrestrial aerial images cameras Unmanned Aircraft Systems c) 140 point clouds a Terrestrial Laser Scanner....
Recidivism refers to a person's relapse into criminal behavior, often after receiving some form of punishment or undergoing intervention for previous crime. Machine learning (ML) algorithms are commonly used quantitatively predicting recidivism by assessing defendant's likelihood committing crime thus, guiding decisions and imposing choices justice officers in managing the population. Beyond prediction adequacy these algorithms, an important issue is whether they capable making fair...
The daltonization process refers to the color adaptation of images in order improve perception color-blind viewers. This paper proposes a modified clustering approach, which is applied digitized art paintings and concerns specific vision deficiency called protanopia. To accomplish this task, objective function fuzzy c-means reformulated as include only cluster centers, then it minimized by differential evolution. By using standard technique, original image transformed simulate effect...
The buildings in a city are of great importance. Certain historic landmarks and indicate the city’s architecture culture. over time undergo changes because various factors, such as structural changes, natural disaster damages, aesthetic interventions. form each period is perceived understood by people generation, through photography. Nevertheless, photograph has its own characteristics depending on camera (analog or digital) used for capturing it. Any photo, even depicting same object,...
How creative is the machine-learning based modification of digitized art paintings in enhancing color perception for audiences with vision deficiencies (CVD) by altering contrast and forms? The current study investigates above research question integrating computational creativity theory, aesthetic machine learning to examine sensory modified artworks. process seen as a condition that transforms framework, space, original artwork. paper also explores existing theories focus on stages within...
Abstract. Efficient and effective spatial data collection is crucial in cases of catastrophic events. Resources efficiency project effectiveness are two aspects that need special attention especially when there temporal constraints. There limited literature regarding approaches. This work elaborates on the spatially-aware from a diverse scientific group teams after earthquake Mw = 6.3 Vrisa village, Lesvos island Greece June 2017. More specific we deal with challenges faced by six experts...
This paper investigates the potential of using novel a Legendre polynomial neural network in predicting temperature profile highly complex data center hosted University Aegean, Greece. The comprises an input, hidden and output layer. layer consists number nodes, which expand linear combinations input variables into truncated series. aggregates nodes' outputs single sum provides network's output. Since polynomials are orthogonal under certain requirements, explicit mathematical analysis is...