The impact of YOLO Algorithms within fall detection application: A review
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 …
individuals and disabled individuals who reside alone. The global elderly population is …
Active vision: A promising technology for achieving zero-defect manufacturing
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 emergence of Industry 4.0. Yet, the assurance of delivering high-quality products …
The advent of ai in modern supply chain
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 …
processes, the supply chain constitutes a pivotal component that connects manufacturers …
[HTML][HTML] GMDCSA-24: A dataset for human fall detection in videos
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 …
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
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 …
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
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 …
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
The Internet of Things and digital twins can transform several application domains,
resha** traditional industrial models into smarter and more efficient ones. Combining the …
resha** traditional industrial models into smarter and more efficient ones. Combining the …
Performance Evaluation of YOLOv8-Based Bib Number Detection in Media Streaming Race
The evolution of telecommunication networks unlocks new possibilities for multimedia
services, including enriched and personalized experiences. However, ensuring high Quality …
services, including enriched and personalized experiences. However, ensuring high Quality …
Enhanced human modeling in robotics for socially-aware place navigation
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 …
various missions. Yet, this task presents a higher complexity when a mobile robot navigates …
Cyril's Lexicon Layout Analysis Through Deep Learning
Outstanding achievements in several vision and image processing tasks through deep
learning have led the scientific community to adopt these techniques for digitizing …
learning have led the scientific community to adopt these techniques for digitizing …