Abstract: Existing functionality for intelligent physical systems (IPS), such as autonomous vehicles (AV), is generally built around rigid rule-sets, ...
Abstract—Existing functionality for intelligent physical systems (IPS), such as autonomous vehicles (AV), is generally built around rigid rule-sets, ...
Dec 27, 2020 · PDF | On May 1, 2020, Kumar Sathish A.P. and others published A Reflective Neural Network Based Learning Framework for Intelligent Physical ...
In this paper, we propose research objectives to address this limitation through the incorporation of observational learning of physical properties of objects, ...
2020 IEEE 6th Intl Conference on Big Data Security on Cloud ...
www.computer.org › csdl › proceedings
A Smart-Farming Ontology for Attribute Based Access Control pp. 29-34. A Reflective Neural Network Based Learning Framework for Intelligent Physical Systems pp.
... Intelligence, 2020. [Manuscript Link]; Sathish A.P. Kumar, and M. Brown“ Reflective Neural Network Based Learning Framework for Intelligent Physical Systems ...
May 24, 2022 · A practical and effective hybrid deep learning multi-task framework integrating the advantages of convolutional neural network (CNN) and long short-term memory ...
Oct 9, 2020 · The project's research goal is to improve the data efficiency and learning speed by introducing a new adaptive dynamic programming (ADP)-based ...
The purpose of this paper is to present a neural network system that can assess learners' metacognitive knowledge level on-line, without having students respond ...
PI: NSF - A Reflective Learning and Association Control Framework ... Associate Editor, IEEE Transactions on Neural Network and Learning Systems (IF: 10.451), ...