Search Results - "Vrochidis, Stefanos"
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Oil Spill Identification from Satellite Images Using Deep Neural Networks
Published in Remote sensing (Basel, Switzerland) (01-08-2019)“…Oil spill is considered one of the main threats to marine and coastal environments. Efficient monitoring and early identification of oil slicks are vital for…”
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Multi-Sensors for Human Activity Recognition
Published in Sensors (Basel, Switzerland) (10-05-2023)“…Human activity recognition (HAR) has made significant progress in recent years, with growing applications in various domains, and the emergence of wearable and…”
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Fusion of Environmental Sensors for Occupancy Detection in a Real Construction Site
Published in Sensors (Basel, Switzerland) (01-12-2023)“…Internet-of-Things systems are increasingly being installed in buildings to transform them into smart ones and to assist in the transition to a greener future…”
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Flood-Related Multimedia Benchmark Evaluation: Challenges, Results and a Novel GNN Approach
Published in Sensors (Basel, Switzerland) (06-04-2023)“…This paper discusses the importance of detecting breaking events in real time to help emergency response workers, and how social media can be used to process…”
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Novel Framework for Quality Control in Vibration Monitoring of CNC Machining
Published in Sensors (Basel, Switzerland) (01-01-2024)“…Vibrations are a common issue in the machining and metal-cutting sector, in which the spindle vibration is primarily responsible for the poor surface quality…”
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Interactive Video Retrieval in the Age of Deep Learning - Detailed Evaluation of VBS 2019
Published in IEEE transactions on multimedia (2021)“…Despite the fact that automatic content analysis has made remarkable progress over the last decade - mainly due to significant advances in machine learning -…”
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A Review of Multisensor Data Fusion Solutions in Smart Manufacturing: Systems and Trends
Published in Sensors (Basel, Switzerland) (23-02-2022)“…Manufacturing companies increasingly become "smarter" as a result of the Industry 4.0 revolution. Multiple sensors are used for industrial monitoring of…”
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Graph Theoretical Analysis of EEG Functional Connectivity Patterns and Fusion with Physiological Signals for Emotion Recognition
Published in Sensors (Basel, Switzerland) (26-10-2022)“…Emotion recognition is a key attribute for realizing advances in human–computer interaction, especially when using non-intrusive physiological sensors, such as…”
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Combining RSSI and Accelerometer Features for Room-Level Localization
Published in Sensors (Basel, Switzerland) (13-04-2021)“…The continuing advancements in technology have resulted in an explosion in the use of interconnected devices and sensors. Internet-of-Things (IoT) systems are…”
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Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS
Published in Multimedia systems (01-12-2023)“…This paper presents findings of the eleventh Video Browser Showdown competition, where sixteen teams competed in known-item and ad-hoc search tasks. Many of…”
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Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network
Published in Remote sensing (Basel, Switzerland) (01-10-2024)“…The detection of complex formations, initially suspected to be oil spills, is investigated using atmospherically corrected multispectral satellite images and…”
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Assessing Virtual Reality Spaces for Elders Using Image-Based Sentiment Analysis and Stress Level Detection
Published in Sensors (Basel, Switzerland) (20-04-2023)“…Seniors, in order to be able to fight loneliness, need to communicate with other people and be engaged in activities to keep their minds active to increase…”
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A Semantic Framework for Decision Making in Forest Fire Emergencies
Published in Applied sciences (01-08-2023)“…Forest fires can have devastating effects on the environment, communities, individuals, economy, and climate change in many countries. During a forest fire…”
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Mobile App Interventions for Parkinson's Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review
Published in Sensors (Basel, Switzerland) (23-03-2023)“…Central nervous system diseases (CNSDs) lead to significant disability worldwide. Mobile app interventions have recently shown the potential to facilitate…”
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CoFly-WeedDB: A UAV image dataset for weed detection and species identification
Published in Data in brief (01-12-2022)“…The CoFly-WeedDB contains 201 RGB images (∼436 MB) from the attached camera of DJI Phantom Pro 4 from a cotton field in Larissa, Greece during the first stages…”
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Semantically Enriched Crop Type Classification and Linked Earth Observation Data to Support the Common Agricultural Policy Monitoring
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2021)“…During the last decades, massive amounts of satellite images are becoming available that can be enriched with semantic annotations for the creation of…”
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First-person activity recognition from micro-action representations using convolutional neural networks and object flow histograms
Published in Multimedia tools and applications (01-06-2021)“…A novel first-person human activity recognition framework is proposed in this work. Our proposed methodology is inspired by the central role moving objects…”
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A Gamified Augmented Reality Application for Digital Heritage and Tourism
Published in Applied sciences (01-11-2020)“…Although Augmented Reality (AR) technology has entered many market and knowledge domains such as games and leisure activities, it remains rather limited in…”
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Ontology-Based Personalized Job Recommendation Framework for Migrants and Refugees
Published in Big data and cognitive computing (01-12-2022)“…Participation in the labor market is seen as the most important factor favoring long-term integration of migrants and refugees into society. This paper…”
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Change Point Detection in Terrorism-Related Online Content Using Deep Learning Derived Indicators
Published in Information (Basel) (01-07-2021)“…Given the increasing occurrence of deviant activities in online platforms, it is of paramount importance to develop methods and tools that allow in-depth…”
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