… 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 …

… machine learning classification and ranking, based on the target vehicle’s situational awareness.
… This information is a natural part of the situational awareness exploited by connected …

… based on this output, learning is based on the performance of … machine learning algorithms
to maximize the learning ability … and systematically evaluated the learning algorithms for a …

… 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 …

… , 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 …

… pilot’s situational awareness regarding offensive situations, … machine learning algorithms
to generate responses concerning the tactical state to improve the pilot’s situational awareness …

… based on artificial intelligence, such as machine learning, have recently gained a lot of …
the performance of two machine learning algorithms: ant colony and distributed Q-learning. Ant …

… In this work, we focus on machine learning for noninvasive … Our approach is based on
learning to relate true load in T , in … using a proposed machine learning pipeline for supervised …