Zhengming Wang

Early-warnings of critical transitions emerging from network hierarchies

Huichun Li, Zhenghu Zu, Xue Zhang, Chengli Zhao et autres

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Non-Homogeneous Haze Removal Based on Deep Unfolding Network for Remote Sensing Images

Yapeng Zhan, Qi Yu, Jianwen Nie, J Liu et autres

Optical remote sensing imaging has wide applications in many fields, but scattering effects will degrade the quality of images. To solve the challenge of removing non-homogeneous dense haze from the remote sensing images, we propose a novel alternating iterative dehazing algorithm based …

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Health feature extraction and capacity prediction of lithium-ion batteries based on group screening

Tianyu Liu, Zhengming Wang

This study introduces a group-screening-based approach for health feature extraction and usable capacity prediction of lithiumion batteries. The method integrates a novel feature selection strategy that combines sequential bifurcation selection with Sobol indices, together with an enhanced Gaussian process model, to enable …

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[Advances in multi-source surveillance data integration and application of early warning indicators for respiratory infectious diseases].

Dazhu Huo, Jinzhao Cui, X C Zhang, Yanan Wang et autres

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance …

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HBP ‐A Attenuates Knee Osteoarthritis Progression via MLK3 / P38 / HDAC4 Axis‐Mediated Dual Protection of Articular Cartilage and Quadriceps

Zhengming Wang, Yuanyuan Feng, Zhengyan Li, Haiya Ge et autres

Knee osteoarthritis (KOA), a degenerative joint disease driven by biomechanical instability, involves cartilage degradation, muscle dysfunction, and MLK3/P38 MAPK pathway activation. Histone deacetylase 4 (HDAC4), a regulator of chondrocyte and muscle homeostasis, interacts with this pathway during disease progression. While Hyriopsis Bioactive …

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Hyperspectral remote sensing image destriping via spectral-spatial factorization

Yapeng Zhan, Qi Yu, Jiying Liu, Zhengming Wang et autres

Hyperspectral images (HSIs) are gradually playing an important role in many fields because of their ability to obtain spectral information. However, sensor response differences and other reasons may lead to the generation of stripe noise in HSIs, which will greatly degrade the …

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Radar Anti‐Jamming Performance Evaluation: A Novel Model Based on Measurement Error and RCS Distributions

Linqi Zhao, Liang Yan, Xiaojun Duan, Zhengming Wang et autres

ABSTRACT The growing complexity of the electromagnetic environment makes accurate radar anti‐jamming performance evaluation essential for assessing the effectiveness of electronic countermeasure systems. In jamming scenarios, smaller measurement errors in range indicate a radar's enhanced ability to counteract interference. This paper presents …

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MiDUNet: Model-Inspired Deep Unfolding Network for Nonhomogeneous Image Dehazing

Yapeng Zhan, Qi Yu, Zexi Yang, Jiying Liu et autres

Optical remote sensing techniques, particularly those relying on visible optical sensors, are critical for Earth observations. However, atmospheric haze severely degrades image quality owing to light scattering effects. These effects often lead to clouds in the observed images, resulting in partial image …

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Intelligent Framework for Multi-UAV-Enabled Joint Offloading Service and Trajectory Planning in MEC

Mingfang Ma, Zhengming Wang, Jiying Liu

Unmanned aerial vehicles (UAVs) have a pivotal role in mobile edge computing (MEC) applications. In a UAV-based MEC framework, data generated by user equipments (UEs) on the ground can be offloaded to servers carried by the UAVs for expedited processing. Nonetheless, the …

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Bench4Merge: A Comprehensive Benchmark for Merging in Realistic Dense Traffic with Micro-Interactive Vehicles

Zhengming Wang, Junli Wang, Pengfei Li, Zhaohan Li et autres

While the capabilities of autonomous driving have advanced rapidly, merging into dense traffic remains a significant challenge, many motion planning methods for this scenario have been proposed but it is hard to evaluate them. Most existing closed-loop simulators rely on rule-based controls …

How does the digital economy affect the green development of China’s industry?

Xiujin Guo, Zhengming Wang

Digital economy is an important force to promote industrial green development. The purpose of this paper is to explore the impact of digital economy on China's industrial green development and its mechanism of action from 2011 to 2019, and further examines the …

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Radar Anti-Jamming Performance Evaluation Based on Logistic Fusion of Multi-Stage SIR Information

Linqi Zhao, Liang Yan, Xiaojun Duan, Zhengming Wang

When assessing radar anti-jamming performance, the challenge of limited sample sizes is a significant hurdle. In response, this paper introduces a logistic fusion model that leverages Bayesian techniques and a Monte Carlo Markov chain (MCMC) sampling method based on a logistic regression …

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