… We believe that the development of comprehensive cyber situation awareness will
leverage a number of AI and fusion techniques to deal with the volume of data, along with the …

… The paper also suggests using our method, which applies the functionality of Perception,
Situation Awareness, Cognition and Machine Learning, which are main components in the …

… We evaluated the prediction results using diferent combinations of data sources and
machine learning models. We apply three conventional machine learning regressor Linear …

… Machine Learning (ML) and Natural Language Processing (NLP) integrated system for maritime
situational awareness (MSA… situational awareness, we observed that a rapid and proper …

… port security operation in practice, a machine learning approach was proposed in this study.
… uncommon characteristics, showing promises in enhancing maritime situational awareness. …

… learning (RL) and other machine learning techniques are used to automate situational
awareness … ’s structure and maintaining the situationawareness-based decision-making model’s …

… machine learning to understand their environment, we rapidly come to the problem of adversarial
machine learning… Machine learning started being used in spam filters in the 1990s, and …

… In machine learning realm, primitively a feed-forward neural network can be equipped with
a feedback loop and unit delays to become a recurrent neural network (RNN). An RNN can …

… 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 …

… Next, we apply unsupervised learning to the extracted features … We illustrate the applications
of our machine learning-based cy… and situational awareness by applying machine learning …