… combine machine learning tools and situational awareness … We consider forms of situational
awareness that are specific to the … The result shows that situational awareness can largely …

… a machine learning based situational awareness framework that detects existing and newly
introduced network-enabled entities, utilizing the real-time awareness … situational awareness …

… major challenges in achieving situational awareness in power … novel model-free situational
awareness framework for power … 1) A novel situational awareness framework is introduced for …

… Using a pure machine learning approach to enable the generation of behavior for agents in
… Such human-like behavior is not guaranteed with eg basic reinforcement learning schemes. …

… Our approach to the evaluation of situation awareness has two … situation awareness. We
then discuss the components used to evaluate situation awareness using machine learning …

… This section provides standalone results from our work on the Deep Learning models and
the … situation. In the following, we discuss some important works on situational awareness. …

… In this paper, the machine learning model captures the relationship between the mmWave
channel and the situational awareness that is comprised of the geometry of different vehicles …

… as knowledge [8,9]. Hence, the DDDAS paradigm with the augmented data provides
additional opportunities for leveraging deep learning to complement traditional methods of …

… , it was shown in [8] that vehicles’ situational awareness can also be used to predict the beam
… of an efficient machine learning framework with situational awareness in Section II. Aside …

… Reinforcement learning methods are used in applications where an agent or … Reinforcement
learning methods are part of the larger field of machine learning and artificial intelligence …