Although the utility of the machine learning (ML) techniques is established in occupational
accident domain using reactive data, its exploration in predicting injury severity using both …

Causality analysis continues to remain one of the fundamental research questions and the
ultimate objective for a tremendous amount of scientific studies. In line with the rapid …

The use of data analytics has seen widespread application in fields such as medicine and
supply chain management, but their application in occupational safety has only recently …

Steel industry is considered to be an economic sector with higher number of accidents.
Workers in this industry are exposed to a wide variety of hazards during working hours …

Classifying or predicting occupational incidents using both structured and unstructured (text)
data are an unexplored area of research. Unstructured texts, ie, incident narratives are often …

Real-world data commonly have an issue of class-imbalance, which poses a big challenge
in pattern recognition and machine learning tasks. To handle this issue, we have proposed …

Occupational accident is a grave issue for any industry. Therefore, proper analysis of
accident data should be carried out to find out the accident patterns so that precautionary …

Support vector machine (SVM) is a powerful machine learning (ML) technology and the
distinctive generalization ability makes it one of the most popular approximation tools in the …

The phenomenon of occupational accidents is a serious concern of any industry. There are
various factors present which collectively interplay behind the occurrence of accidents. For …

Abstract Machine learning models for near collision detection in autonomous vehicles
promise enhanced predictive power. However, training on these large datasets presents …