A5017258417- Remote Sensing and LiDAR Applications
- Power Line Inspection Robots
- Functional Brain Connectivity Studies
- Advanced Measurement and Detection Methods
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Non-Invasive Vital Sign Monitoring
- Autonomous Vehicle Technology and Safety
- Advanced MRI Techniques and Applications
- Medical Image Segmentation Techniques
- Robotics and Sensor-Based Localization
- Security and Verification in Computing
- Advanced Memory and Neural Computing
- Dental Radiography and Imaging
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Image and Video Retrieval Techniques
- Wildlife-Road Interactions and Conservation
- Air Traffic Management and Optimization
- Advanced Malware Detection Techniques
- Advanced Neuroimaging Techniques and Applications
- Robotic Path Planning Algorithms
- Physical Unclonable Functions (PUFs) and Hardware Security
- Microwave Imaging and Scattering Analysis
- Sleep and Work-Related Fatigue
- Ultrasound and Hyperthermia Applications
University of Cyprus
2021-2025
National Technical University of Athens
2015-2021
Technological Educational Institute of Athens
2015
Abstract Introduction Recent studies related to assessing functional connectivity (FC) in resting‐state magnetic resonance imaging have revealed that the resulting patterns exhibit considerable fluctuations (dynamic FC [dFC]). A widely applied method for quantifying dFC is sliding window technique. According this method, data are divided into segments with same length (window size) and a correlation metric employed assess within these segments, whereby size often empirically chosen. Methods...
As robotic systems become more integrated into our daily lives, there is growing concern about cybersecurity. Robots used in areas such as autonomous driving, surveillance, surgery, home assistance, and industrial automation can be vulnerable to cyber-attacks, which could have serious real-world consequences. Modern face a unique set of threats due their evolving characteristics. This paper outlines the SESAME project’s methodology for automated security analysis multi-robot (MRS) production...
Power transmission and distribution networks mostly span across harsh environments thus, frequent faults failures are observed, increasing the maintenance costs, pressing authorities to provide electricity continuously uninterruptedly. To this end, thorough field inspections with skilled personnel regularly conducted, which labor-intensive, costly slow, whereby efficiency staff safety cannot be always ensured. UAVs stem as a promising solution for power infrastructure inspection; however,...
Panoramic images of the jaws are extensively used for dental examinations and/or surgical planning because they provide a general overview patient's maxillary and mandibular regions. two-dimensional projections three-dimensional (3D) objects. Therefore, it should be possible to reconstruct them from 3D radiographic representations jaws, produced by CBCT scanning, obviating need additional exposure X-rays, there panoramic views. The aim this article is present an automated method...
Unmanned Remotely Operated Vehicles (ROVs) are widely used in safety-critical missions, spanning across monitoring, surveillance, and search rescue missions. In most cases, the human operator controls ROV under stressful conditions harsh environments. The physical mental states of vital as they may cause involuntary movements, issuing unintentional commands due to fatigue or stress. Consequently, a joint monitoring mechanism that will assess operator's can be beneficial preventing...
Effective detection of autism spectrum disorder (ASD) is a complicated procedure, due to the hundreds parameters suggested be implicated in its etiology. As such, machine learning methods have been consistently applied facilitate diagnosis, although scarcity potent autism-related biomarkers bottleneck. More importantly, variability imported attributes among different sites (e.g., acquisition parameters) and individuals demographics, movement, etc.) pose additional challenges, eluding...
Unmanned Aircraft Systems (UAS) play a pivotal role in variety of modern applications, with traffic monitoring emerging as critical use case. This study presents the Specific Operations Risk Assessment (SORA) 2.0 framework applied to UAS operations dedicated for urban environments. A comprehensive risk assessment is provided by incorporating real-world scenarios and addressing practical aspects missions. fleet semi-autonomous drones employed safely acquire video footage further analysis,...
Introduction: The selection of an appropriate window size, function, and functional connectivity (FC) metric in the sliding method is not straightforward due to absence ground truth. Methods: A previously proposed wavelet-based was accordingly adjusted for estimating time-varying FC (TVFC) applied a large high-quality, low-motion dataset 400 resting-state magnetic resonance imaging data. Specifically, wavelet coherence magnitude relative phase were averaged across (frequency) scales yield...
The aim of the present study is to provide a methodology for detecting temperature alterations in human breast, based on single channel microwave radiometer imaging. Radiometer measurements were simulated by modelling distribution, and antenna characteristics. Moreover, lesion variable size position breast was employed slight changes breast. To detect presence lesion, distribution reconstructed. This accomplished assuming that mixture distributions with unknown parameters, which determined...
Vegetation encroachment in power transmission and distribution networks constitutes a major hazard for the environment networks' integrity, but also society at large, with multifaceted consequences. On many occasions vegetation near lines, conjunction aged infrastructure, caused spread fires leading to large-scale disasters. To this end, 3D representations are proactively created using LiDAR sensors identify locations of encroachment. Of particular interest is use UAVs, which propose...
Unmanned aerial vehicles (UAVs) are widely used in search and rescue missions, which mostly involve stressful conditions for first responders especially UAV operators, who have to control the UAVs under dynamically changing harsh environments. Operations these lead increased stress fatigue operators may result unwanted commands, turn endanger UAV's mission accidents delays, something often critical rescue. However, jointly monitoring both operator's mental physical status, we can potentially...