… a machinelearning based situationalawareness framework that detects existing and newly introduced network-enabled entities, utilizing the real-time awareness … situationalawareness …
… major challenges in achieving situationalawareness in power … novel model-free situational awareness framework for power … 1) A novel situationalawareness framework is introduced for …
Y Wang, M Narasimha… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
… machinelearning classification and ranking, based on the target vehicle’s situationalawareness. … This information is a natural part of the situationalawareness exploited by connected …
R Koopmanschap, M Hoogendoorn, JJ Roessingh - Applied Intelligence, 2015 - Springer
… based on this output, learning is based on the performance of … machinelearning algorithms to maximize the learning ability … and systematically evaluated the learning algorithms for a …
… In this paper, the machinelearning model captures the relationship between the mmWave channel and the situationalawareness that is comprised of the geometry of different vehicles …
… , it was shown in [8] that vehicles’ situationalawareness can also be used to predict the beam … of an efficient machinelearning framework with situationalawareness in Section II. Aside …
… pilot’s situationalawareness regarding offensive situations, … machinelearning algorithms to generate responses concerning the tactical state to improve the pilot’s situationalawareness …
BD Little, CE Frueh - Journal of Guidance, Control, and Dynamics, 2020 - arc.aiaa.org
… based on artificial intelligence, such as machinelearning, have recently gained a lot of … the performance of two machinelearning algorithms: ant colony and distributed Q-learning. Ant …
D Pylorof, HE Garcia - Applied Energy, 2024 - Elsevier
… In this work, we focus on machinelearning for noninvasive … Our approach is based on learning to relate true load in T , in … using a proposed machinelearning pipeline for supervised …