Yuan Ping

A lightweight malware classification method based on short bit sequence visualization

J Zhang, Chun Guo, Guowei Shen, Yuan Ping et autres

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Comparative accuracy of 1-hour post-load plasma glucose, glycated albumin, and conventional glycemic measures for the diagnosis of type 2 diabetes mellitus: a systematic review and network meta-analysis

Jinhui Tian, Yuan Ping, L Tan, Yu Zhang et autres

Objective The International Diabetes Federation has proposed 1-hour plasma glucose (1-h PG) as a potential indicator for the diagnosis of type 2 diabetes mellitus (T2DM). This study aimed to systematically compare the diagnostic performance of 1-h PG, glycated albumin (GA), fasting plasma …

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Towards Selective Machine Unlearning via Specific Synaptic Dampening over Data Description

Zhihao Pan, Yuan Ping, Xiaojun Wang, Quanxin Yang et autres

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A diagnostic challenge of dual atrioventricular nodal nonreentrant tachycardia revealed by ambulatory electrocardiographic monitoring: a case report

Zhiqin Ma, Jinhui Tian, Yuan Ping, Jun Shen

Background: Dual atrioventricular nodal nonreentrant tachycardia (DAVNNT) is an uncommon arrhythmia caused by simultaneous antegrade conduction of a single atrial impulse through fast and slow atrioventricular nodal pathways, resulting in double ventricular activation without a reentrant circuit. Because its electrocardiographic manifestations are …

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Efficient direct regeneration of spent LiFePO4 materials via gradient bonding heterostructure construction strategy

Yuyun Li, Yuan Ping, Fanbin Hu, Chang Li et autres

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MCPDS: image-based malware classification method using PE metadata alone

Yonglin Zhao, Chun Guo, Yuan Ping, Yi Chen et autres

Abstract In response to the increasing threat posed by the exponential growth of malware in cybersecurity, researchers have developed a number of malware classification methods based on malware images and deep learning in recent years. Newly proposed methods of this type tend …

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A packer identification method based on section-entropy plot

Yueting Wan, Chun Guo, Yuan Ping, Yunhe Cui et autres

Abstract Although packers are useful tools for protecting applications, they can also be used to protect malware. This makes packer identification technology increasingly important for malware analysis. Most existing packer identification methods based on static analysis extract a large number of features …

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Electronic structure reconstruction and interface anchoring for high-performance direct regeneration of spent LiFePO4 materials

Yuyun Li, Yuan Ping, Fanbin Hu, Changjiang Li et autres

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FedC 3 : Federated Covert Communication Construction Via Unlearning-Based Decision Boundary Manipulation

Yuan Ping, Y Zhang, Wenhong Wu, Chun Guo et autres

Federated learning (FL) has been widely employed in sensitive data analysis for various domains such as healthcare and finance. Given growing concerns about privacy, federated unlearning (FU) has also been introduced to support users’ right to revoke the use of sensitive data; …

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Machine Learning-Based Optimization for Modular Robotic Systems in Construction: A Review

Jiafei Liu, Yuan Ping, Yujing Wang, Xiayu Zhao

With the increasing demands for efficiency and flexibility in the construction industry, the combined application of Modular Robotic Systems (MRS) Construction and Machine Learning (ML) has become widespread. However, this integration has also brought forth various challenges (e.g., perception and cognition limitations, …

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Collusion-resistant multi-user searchable symmetric encryption with conjunctive query and suppressed pattern leakage

Yanpeng Ba, Yuan Ping, Zengpeng Li

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Machine learning-based analysis and prediction of coal flotation process parameters mechanisms

Jinyong Li, Deke Zhang, Yangchao Xia, B. Avid et autres

Flotation is a key separation technique in mineral processing, influenced by various process parameters. A deep understanding of its mechanisms and precise control is crucial for improving recovery efficiency. Traditional methods rely on empirical knowledge and trial-and-error, leading to high error rates …

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