Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...
Abstract: Scene text editing aims to replace the source text with the target text while preserving the original background. Its practical applications span various domains, such as data generation and ...
Abstract: Unmanned aerial vehicles (UAVs) and infrared imaging technology have numerous applications in civilian fields. To address the issues of low accuracy resulting from complex ground backgrounds ...
Abstract: Deformable organisms in nature inspire the design of shape-shifting robots, including soft robots, bionic robots and physical human-robot interfaces. However, to achieve multi-objective ...
Abstract: Graph-based methods have demonstrated exceptional performance in semi-supervised classification. However, existing graph-based methods typically construct either a predefined graph in the ...
Abstract: This paper studies the estimation of dynamic route choice behavior of drivers with incomplete fixed location-based sensor data, such as radio frequency identification (RFID) data. Unlike ...
Abstract: Low-latency communication plays an increasingly important role in delay-sensitive applications by ensuring the real-time information exchange. However, due to the constraint on the maximum ...
Abstract: Over the past two decades, the Internet-of-things (IoT) has become a transformative concept, and as we approach 2030, a new paradigm known as the Internet of senses (IoS) is emerging. Unlike ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6570650 ...
Abstract: This article addresses the prediction stability, prediction accuracy, and control capability of the current probabilistic model-based reinforcement learning (MBRL) built on neural networks.
Abstract: We developed an intelligent innovative orientation method to improve the accuracy of polarization compasses in harsh conditions: weak skylight polarization patterns resulting from ...
Abstract: Multivariate Time Series (MTS) analysis is crucial to understanding and managing complex systems, such as traffic and energy systems, and a variety of approaches to MTS forecasting have been ...