Oleg Alienin
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Author Swipe
View article: Edge Intelligence Resource Consumption by UAV-based IR Object Detection
Edge Intelligence Resource Consumption by UAV-based IR Object Detection Open
The investigation of the feasibility of using the YOLO (You Only Look Once) architecture for object detection in infrared images from unmanned aerial vehicles (UAVs) on low-power devices, specifically the Raspberry Pi, and Orange Pi, is co…
View article: Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises Open
The assessment of energy expenditure in real life is of great importance for monitoring the current physical state of people, especially in work, sport, elderly care, health care, and everyday life even. This work reports about application…
View article: Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti Open
Machine learning techniques are presented for automatic recognition of the historical letters (XI-XVIII centuries) carved on the stoned walls of St.Sophia cathedral in Kyiv (Ukraine). A new image dataset of these carved Glagolitic and Cyri…
View article: Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions
Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions Open
The new method is proposed to monitor the level of current physical load and accumulated fatigue by several objective and subjective characteristics. It was applied to the dataset targeted to estimate the physical load and fatigue by sever…
View article: Comparative analysis of open source frameworks for machine learning with use case in single-threaded and multi-threaded modes
Comparative analysis of open source frameworks for machine learning with use case in single-threaded and multi-threaded modes Open
The basic features of some of the most versatile and popular open source\nframeworks for machine learning (TensorFlow, Deep Learning4j, and H2O) are\nconsidered and compared. Their comparative analysis was performed and\nconclusions were m…