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ReCRNet: a deep residual network for crack detection in historical buildings
(Springer Heidelberg, 2021)
In historical buildings, surface cracks are important indicators of potential structural damage. Natural disasters and indirect human factors, which are frequently encountered in recent periods, negatively affect historical ...
Analysis of Mining Lost Time Incident Duration Influencing Factors Through Machine Learning
(Springer Heidelberg, 2021)
Despite technological advancements and organizational adjustments, lost time accidents are major issues in occupational safety. However, there is very limited work that focuses on variables influencing days lost as a result ...
Information theory and machine learning based authentication of flaxseed oil using portable and handheld vibrational spectroscopy sensors
(SCIENCE PRESS, 2022)
Flaxseed oil is one of the popular edible oils, and its adulteration has become a concern because of its high commodity value. Therefore, there is a need to detect adulterated flaxseeds with a rapid, non-invasive, and ...