… Since the machine learning algorithms selected for this study are dependent on
probabilities, the expectation is that the date feature will improve the classification. In addition, …

… situational awareness (SSA)—the capabilities of detecting, cataloguing, and tracking
RSOs—grows more critical for sustaining long-term space operations. There are currently more …

… , we found that tweets that contribute to situational awareness are likely to be written in four
… and analysis to support situational awareness. Machine learning classification of an instance …

… proven to be highly effective in assessing the situation awareness of controllers. By combining
these techniques with machine learning and deep learning, we can better understand the …

… in artificial intelligence (AI) and machine learning (ML) methods for … that integrates deep
learning models with complex event … ing situational awareness and decision-making capabilities. …

… does not provide sufficient information for situation awareness. Hence, the detection of …
situation awareness. To address these limitations, this study proposed a hybrid machine learning …

… Our approach uses machine learning to define the best possible situation awareness.
We also propose to measure the actual situation awareness of the driver using eye tracking. …

… a supervised machine learning approach based on close man machine interaction and big
data fusion to create a virtuous mutually enforcing context between operators and machine in …

… Figure 4.1 An illustrative example of situation awareness ............................................... 67
Figure 4.2 … In this research, we study a machine learning method from data for MEBN-based …

… awareness in maritime surveillance and autonomous … The overall structure of marine situational
awareness technology … This module is the core of the three situational awareness tasks; …