… with varied learning rate 0.01–0.5. For comparative study various classical machine learning
… For deep learning architectures and classical machine learning algorithms to convert text …

… -Awareness, analyzing information, and managing the environment through the Situation-Awareness …
acquired from the Context and Situation Awareness through graph approaches, …

… compare the performance of several machine learning algorithms. … Machine learning, also
known as pattern recognition, is the tool we have chosen for obtaining situational awareness …

… This study investigated the method of network security situational awareness (NSSA) for
enterprise control systems. XGBoost was used to implement situational assessment, and an …

… situation awareness in ship navigators through appropriate automation are investigated.
Situation awareness … (level 1), comprehension of the situation (level 2), and projection of future …

… machine learning, as a major technical component of artificial intelligence, is mainly used in
network security situational awareness … and then building machine-learning models to detect …

… In this synthesis, we consider the impacts of big data and machine learning techniques …
of incident detection and general situational awareness in the Traffic Management Center (TMC). …

… outperformed other selected machine learning models, having a … .com/refengchou/Situation-awarenessprediction.
Our proposed … In this study, we proposed a machine learning model to …

… affecting response time and situational awareness (SA). This … led researchers to incorporate
machine learning based on the … , including the situational awareness global assessment …

… 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. …