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: 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: Satellite communications (SatComs) have recently been through a renaissance, both technologically and entrepreneurially. Ambitious plans have already come into fruition with the operation of ...
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 ...
Feasible Operation Region-based Constraint Management of Distribution Networks with Soft Open Points
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 ...
Abstract: Large language models (LLMs) have shown great success in content generation and intelligent intelligent decision-making for IoT systems. Traditionally, LLMs are deployed on the cloud, ...
Abstract: Autonomous flight in unknown, cluttered environments is still a major challenge in robotics. Existing obstacle avoidance algorithms typically adopt a fixed flight velocity, overlooking the ...
Abstract: Underwater acoustic sensor networks (UASNs), which are formed by a number of interconnected mobile vehicles and static sensors, have emerged as a promising solution to explore and utilize ...
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