Wenjun Li

Multi‐Agent Reinforcement Learning for Concurrent Task‐Chain Scheduling in Heterogeneous Edge–Cloud Environments

Xinyi Li, Chao Wang, Jiakai Liang, Keqiang Yue et autres

ABSTRACT In edge–cloud collaborative computing, efficient scheduling of concurrent task chains is essential for reducing end‐to‐end latency. However, heterogeneous resources, dynamic link contention, and coupled routing‐computation decisions make it difficult to improve system efficiency while reducing communication conflicts. To address these challenges, …

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Physics-Driven Electromagnetic Inverse Scattering With Limited-Aperture Measurements

Kuiwen Xu, Yuxin Zhang, Rencheng Song, Shasha Hou et autres

Electromagnetic inverse scattering problems (ISPs) in engineering applications are typically constructed based on limited-aperture measurement data, which further exacerbates the inherent nonlinearity and ill-posedness. To alleviate these issues, this article proposes a novel inverse scattering network architecture, the limited aperture network (LA-Net), …

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Multi-Task Adversarial Attacks for Wireless Communication Signals

Zihao Zhang, Shilian Zheng, Jiakai Liang, Chao Wang et autres

With the rapid development of deep learning in wireless communication for signal detection, target recognition, and parameter estimation, the vulnerability of models to adversarial examples poses a critical challenge to system robustness and security. Existing adversarial attacks mainly focus on single-task models, …

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A Higher Order-Mode Dual-Layer BAW Resonator Without Polarization Inversion

Danyu Mu, Yiran Wei, Z. Zhao, Weipeng Xuan et autres

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An Unsupervised Multi-View Graph Pseudo-Labeling Framework for Automatic Modulation Recognition

Yu Xi, Shilian Zheng, Chao Wang, Yanlong Hu et autres

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Comparison of different insulin resistance surrogates in predicting hyperuricemia in non-diabetic Yi residents in Yunnan Province

Mengyao Dao, Xing He, Yanmei Ji, Ni Guo et autres

Background and purpose Hyperuricemia (HUA) is one of the most common metabolic diseases in China, with an incidence of up to 36% across different ethnic groups. Insulin resistance (IR) plays a specific role in the occurrence and development of HUA, but relevant …

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Comprehensive review of nonlinear characteristics in surface and bulk acoustic wave devices: Mechanisms, impacts, mitigation strategies, and future prospects

Yiran Wei, Danyu Mu, Rui Ding, Wei Wang et autres

With the emergence and development of 5G, radio frequency (RF) communication systems are increasingly imposing stringent requirements on frequency and power. RF front-end filters are critical components, playing a pivotal role in the stable and efficient operation of RF systems. Currently, acoustic …

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Low‐Complexity Robotic Device for Magnetic Resonance Imaging‐Guided Needle Biopsy

Anastasia Antoniou, Nikolas Evripidou, Leonidas Georgiou, Antreas Chrysanthou et autres

BACKGROUND: This work presents a low-complexity robotic device for needle-to-target alignment designed to streamline Magnetic Resonance Imaging (MRI)-guided biopsy procedures while maintaining physician control over insertion. METHODS: The robotic device was designed with a rigid frame incorporating two linear degrees of freedom …

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A transformer-based framework with complex-valued convolution and enhanced Bi-LSTM for automatic modulation recognition

Shuan-Hao Wu, Chao Wang, Jiakai Liang, Mayue Wang et autres

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Phantom-based assessment of focused ultrasound thermal effects with conventional magnetic resonance imaging

Anastasia Antoniou, Nikolas Evripidou, Antria Filippou, Leonidas Georgiou et autres

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Enhancing the Robustness of UAV Search Path Planning Based on Deep Reinforcement Learning for Complex Disaster Scenarios

Jiakai Liang, Jinduo Zhao, Chao Wang, Keqiang Yue et autres

In disaster scenarios, unmanned aerial vehicle (UAV) rescue path search missions have become an increasingly critical issue. This paper, proposes a Double Deep Q-Network State Splitting Q-Network (DDQN-SSQN) path planning algorithm, which planning rescue route guiding UAV to maximize the detection of …

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Magnetic Resonance Imaging monitoring of histotripsy effects in agar phantom

Anastasia Antoniou, Nikolas Evripidou, Leonidas Georgiou, Antonis Christofi et autres

BACKGROUND: While the technical aspects of histotripsy have seen significant advancements, research on Magnetic Resonance Imaging (MRI) monitoring remains limited. PURPOSE: This preliminary study explored the use of conventional T2-Weighted (T2-W) Turbo Spin Echo (TSE) imaging to monitor histotripsy lesions in a …

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