The impact of YOLO Algorithms within fall detection application: A review

AR Khekan, HS Aghdasi, P Salehpour - IEEE Access, 2024 - ieeexplore.ieee.org
The phenomenon of human falls is a highly significant health concern, particularly for elderly
individuals and disabled individuals who reside alone. The global elderly population is …

Active vision: A promising technology for achieving zero-defect manufacturing

KA Tsintotas, I Kansizoglou, FK Konstantinidis… - Procedia Computer …, 2024 - Elsevier
Quality constitutes the cutting-edge of contemporary industry, much more sharpened with
the emergence of Industry 4.0. Yet, the assurance of delivering high-quality products …

The advent of ai in modern supply chain

KA Tsintotas, SN Moutsis, I Kansizoglou… - … Conference on Supply …, 2024 - Springer
In the era of Industry 5.0, marked by cutting-edge technologies that enhance manufacturing
processes, the supply chain constitutes a pivotal component that connects manufacturers …

[HTML][HTML] GMDCSA-24: A dataset for human fall detection in videos

E Alam, A Sufian, P Dutta, M Leo, IA Hameed - Data in Brief, 2024 - Elsevier
The population of older adults (elders) is increasing at a breakneck pace worldwide. This
surge presents a significant challenge in providing adequate care for elders due to the …

Drawing-aware Parkinson's disease detection through hierarchical deep learning models

I Kansizoglou, KA Tsintotas, D Bratanov… - IEEE …, 2025 - ieeexplore.ieee.org
Parkinson's disease (PD) is a chronic neurological disorder that progresses slowly and
shares symptoms with other diseases. Early detection and diagnosis are vital for appropriate …

Evaluating the Performance of Mobile-Convolutional Neural Networks for Spatial and Temporal Human Action Recognition Analysis

SN Moutsis, KA Tsintotas, I Kansizoglou, A Gasteratos - Robotics, 2023 - mdpi.com
Human action recognition is a computer vision task that identifies how a person or a group
acts on a video sequence. Various methods that rely on deep-learning techniques, such as …

Toward smart supply chain: Adopting internet of things and digital twins

KA Tsintotas, SN Moutsis, FK Konstantinidis… - AIP Conference …, 2024 - pubs.aip.org
The Internet of Things and digital twins can transform several application domains,
resha** traditional industrial models into smarter and more efficient ones. Combining the …

Performance Evaluation of YOLOv8-Based Bib Number Detection in Media Streaming Race

R Martínez, Á Llorente, A del Rio… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The evolution of telecommunication networks unlocks new possibilities for multimedia
services, including enriched and personalized experiences. However, ensuring high Quality …

Enhanced human modeling in robotics for socially-aware place navigation

KA Tsintotas, I Kansizoglou, K Pastra… - Frontiers in Robotics …, 2024 - frontiersin.org
Autonomous and accurate navigation is a prerequisite for any intelligent system assigned to
various missions. Yet, this task presents a higher complexity when a mobile robot navigates …

Cyril's Lexicon Layout Analysis Through Deep Learning

D Ioakeimidou, SN Moutsis… - … on Imaging Systems …, 2024 - ieeexplore.ieee.org
Outstanding achievements in several vision and image processing tasks through deep
learning have led the scientific community to adopt these techniques for digitizing …