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Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss
Healthcare systems worldwide have been struggling since the beginning of the COVID-19
pandemic. The early diagnosis of this unprecedented infection has become their ultimate …
pandemic. The early diagnosis of this unprecedented infection has become their ultimate …
[HTML][HTML] A systematic literature review of industry 4.0 technologies within medical device manufacturing
Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial
revolution, its applications have been widely discussed and used in many business …
revolution, its applications have been widely discussed and used in many business …
[HTML][HTML] A general skeleton-based action and gesture recognition framework for human–robot collaboration
Recognizing human actions is crucial for an effective and safe collaboration between
humans and robots. For example, in a collaborative assembly task, human workers can use …
humans and robots. For example, in a collaborative assembly task, human workers can use …
[HTML][HTML] An automated recognition of work activity in industrial manufacturing using convolutional neural networks
The automated assessment and analysis of employee activity in a manufacturing enterprise,
operating in accordance with the concept of Industry 4.0, is essential for a quick and precise …
operating in accordance with the concept of Industry 4.0, is essential for a quick and precise …
AI on the Road: NVIDIA Jetson Nano-Powered Computer Vision-Based System for Real-Time Pedestrian and Priority Sign Detection
Advances in information and signal processing, driven by artificial intelligence techniques
and recent breakthroughs in deep learning, have significantly impacted autonomous driving …
and recent breakthroughs in deep learning, have significantly impacted autonomous driving …
[HTML][HTML] Real-time human-computer interaction using eye gazes
Eye gaze emerges as a unique channel in human–computer interaction (HCI) that
recognizes human intention based on gaze behavior and enables contactless access to …
recognizes human intention based on gaze behavior and enables contactless access to …
An unsupervised embedding method based on streaming videos for process monitoring in repetitive production systems
Advanced production systems, such as multi-step assembly processes, predominantly
comprise of repetitive operations. The repetitive manual or human–robot integrated …
comprise of repetitive operations. The repetitive manual or human–robot integrated …
Fine-grained activity classification in assembly based on multi-visual modalities
Assembly activity recognition and prediction help to improve productivity, quality control, and
safety measures in smart factories. This study aims to sense, recognize, and predict a …
safety measures in smart factories. This study aims to sense, recognize, and predict a …
[HTML][HTML] Status recognition using pre-trained YOLOv5 for sustainable human-robot collaboration (HRC) system in mold assembly
Molds are still assembled manually because of frequent demand changes and the
requirement for comprehensive knowledge related to their high flexibility and adaptability in …
requirement for comprehensive knowledge related to their high flexibility and adaptability in …
The HA4M dataset: Multi-Modal Monitoring of an assembly task for Human Action recognition in Manufacturing
This paper introduces the Human Action Multi-Modal Monitoring in Manufacturing (HA4M)
dataset, a collection of multi-modal data relative to actions performed by different subjects …
dataset, a collection of multi-modal data relative to actions performed by different subjects …