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 ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6488907 ...
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: This article addresses the prediction stability, prediction accuracy, and control capability of the current probabilistic model-based reinforcement learning (MBRL) built on neural networks.
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=7755 ...
Abstract: The rapid advancement of wireless technologies has completely transformed the way we live, work, and connect with others. With the commercialization of 5G, researchers are now pushing the ...
Abstract: Transformers have significantly advanced hyperspectral image (HSI) classification through their proficiency in modeling long sequences. However, the high dimensionality of HSIs poses a ...
Abstract: Unmanned aerial vehicle (UAV) communications, as a critical application scenario in the sixth generation (6G) wireless communication field, has garnered widespread attention. During ...
Abstract: Automatic modulation recognition is a critical step between signal detection and signal demodulation, and it is a critical technology for ensuring proper communication. Since the ...
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