Abstract: This study explores the potential of digital light processing to 3D print radioactive phantoms for high-resolution positron emission tomography (PET). Using a slightly modified desktop 3D ...
Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...
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: 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: Inductive power transfer (IPT) technology is widely used because of its high convenience especially for charging of electric vehicles (EVs). It has remained a high failure rate in recent ...
Abstract: Underwater wireless optical communication (UWOC) is a competitive candidate for ocean information transmission due to its high bandwidth and low latency. UWOC has already achieved ...
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 ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=8860 ...
Abstract: Multi-view clustering is an important approach to mining the valuable information within multi-view data. In this paper, we propose a novel multi-view deep subspace clustering method based ...
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 ...
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 ...