Abstract: This article presents a modeling technique for realistic 3-D electromagnetic problems in the time domain, using a novel physics-informed deep operator network (PI-DON). The training of the ...
Abstract: Motion planning is critical to realize the autonomous operation of mobile robots. As the complexity and randomness of robot application scenarios increase, the planning capability of the ...
Abstract: As 5G networks proliferate globally, the need for accurate, reliable, and scalable positioning solutions has become increasingly critical across industries, such as Internet of Things (IoT), ...
Abstract: Satellite communication offers the prospect of service continuity over uncovered and under-covered areas, service ubiquity, and service scalability. However, several challenges must first be ...
Abstract: The author was led to the study given in this paper from a consideration of large scale computing machines in which a large number of operations must be ...
Abstract: Cross-speed bearing fault diagnosis based on multiple source domains and their data enables high-performance condition monitoring for variable-speed equipment, such as engines and turbines.
Abstract: Motor vehicles typically exhibit a “speed-varying range" (SVR) characteristic. For battery-powered electric vehicles (BEVs), the range diminishes at higher speed. This characteristic greatly ...
Abstract: Vision Transformer (ViT), known for capturing non-local features, is an effective tool for hyperspectral image classification (HSIC). However, ViT’s multi-head self-attention (MHSA) ...
Abstract: Accurate medical image segmentation is often hindered by noisy labels in training data, due to the challenges of annotating medical images. Prior research works addressing noisy labels tend ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=42 ...
Abstract: Soft open points (SOPs) are power electronic devices placed at normally open points of electricity distribution networks. With millisecond-level control, SOPs are promising in constraint ...
Abstract: Recent advances in prompt learning have allowed users to interact with artificial intelligence (AI) tools in multiturn dialog, enabling an interactive understanding of images. However, it is ...