… machine learning have been combined for our system for detecting in real-time. Machine
learning … On the other hand situation awareness is the ability to perceive information from it’s …

Abstract-Health Safety & Environment (HSE) situational awareness is a very important … a
suitable sentiment analysis model using machine learning technique. Through literature review, …

… Overall, the proposed neural network model outperformed other machine learning models
and achieved the best classification accuracy (90.6%). A model with 11 features was optimal. …

… machine learning and aerospace domain knowledge. Firstly, we represent the ATC using
airport situational awareness … , sensor data fusion, and machine learning techniques. We apply …

… the expression of nodes with traditional neural network and machine learning methods,
proves that the proposed method in this paper has a high accuracy and a low misjudgment rate. …

… We intend to estimate the situational awareness of the … supervised learning algorithms to
estimate situational awareness… We term this the observable situational awareness (OSA) index. …

… Interactive supercomputing on 40,000 cores for machine learning and data analysis. In
Proceedings of the 2018 IEEE High Performance extreme Computing Conference (HPEC), …

… awareness level. The system incorporates diverse automation techniques - knowledge graph,
expert rules, machine learning - for gaining situational awareness … situational awareness, …

… Abstract—Situation Awareness (SA) involves the correct in… present a novel situation-aware
approach using machine learning for … strategy based on the identified situation. Index Terms—…

… Through the application of classical machine learning techniques, we arrive at a surprising
conclusion: even the most fundamental information about an RSO - less than 140 characters …