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  1. No Access

    Chapter and Conference Paper

    Exploring the Establishment and Implementation of a Teaching Evaluation System Based on Value-Added Assessment

    Value-added assessment (VAA) can effectively solve the existing problems of the excess of outcome-oriented evaluations and the lack of teaching evaluation feedback mechanisms in higher education, which plays a...

    Li Yang, Gang Chen, Jie Chang, **angzi Li in Computer Science and Educational Informati… (2024)

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    Chapter and Conference Paper

    Highway: A Super Pipelined Parallel BFT Consensus Algorithm for Permissioned Blockchain

    Blockchain technology has recently received widespread attention from academia and industry, and its application scenarios have expanded from digital currency to all walks of life. However, as a crucial compon...

    Zui Luo, Chang Chen, Wangjie Qiu in Machine Learning for Cyber Security (2023)

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    Chapter and Conference Paper

    Overlap** Community Discovery Algorithm Based on Three-Level Neighbor Node Influence

    In view of the high time complexity of the current overlap** community discovery algorithm and the low stability, an overlap** community discovery algorithm OCDITN based on three-level neighbor influence i...

    Shishuang Chen, Guanru Huang, Sui Lin, Wenchao Jiang in Machine Learning for Cyber Security (2023)

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    Chapter and Conference Paper

    Visual Monitoring Method of Digital Computer Room Based on Digital Twin

    With the rapid development of the Internet of things, big data, artificial intelligence and other new generation information technologies, more and more information technologies are applied in actual productio...

    Huang Chao, Zhang Chen, Liao Rongtao in Application of Big Data, Blockchain, and I… (2023)

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    Chapter and Conference Paper

    Methodology-Driven Characteristics of Scientific Research Collaboration Networks in the Field of Economic Management: Mining and Analysis Based on Big Data

    Objective: Research takes the methodological knowledge in the full text of academic literature as a knowledge production element, and divides it into four categories: Theory &Method, Data, Model, and Tool & Softw...

    Hao Xu, Shihui Chen, Mengxue Yi, Ke Feng, ** Ding, Yilin Liu in Big Data and Security (2022)

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    Chapter and Conference Paper

    PRGAN: A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal Fundus Photography

    Retinal-related diseases are the leading cause of vision loss and even blindness. The automatic methods for retinal disease segmentation based on medical images are essential for timely treatment. Fully superv...

    Ao Chen, **ao Ma, Qiang Chen, Zexuan Ji in Pattern Recognition and Computer Vision (2022)

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    Chapter and Conference Paper

    Research on Optimization of Fuzzing Test of Unknown Protocol Based on Message Type

    In recent years, due to the large number of unknown protocols, it is necessary to study the security of unknown protocols. IFuzzing is a universal method that can be used to study unknown protocols. In unknown...

    WeiQing Fang, Peng Li, YuJie Zhang, Yang Chen in Big Data and Security (2022)

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    Chapter and Conference Paper

    A Survey of Domain Generalization-Based Face Anti-spoofing

    In recent years, remarkable research attention has been attracted to improve the generalization ability of face anti-spoofing methods, and domain generalization techniques have been widely exploited for adapti...

    Fangling Jiang, Yunfan Liu, Bing Liu, **aoliang Chen, Qi Li in Biometric Recognition (2022)

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    Chapter and Conference Paper

    PM2.5 Concentration Prediction Based on mRMR-XGBoost Model

    Air pollution is one of the main environmental pollution, in which air pollution component prediction is an important problem. At present, there have been many studies using machine learning methods to predict...

    Weijian Zhong, **aoqin Lian, Chao Gao in Machine Learning and Intelligent Communica… (2022)

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    Chapter and Conference Paper

    Survey on Deep Learning Based Fusion Recognition of Multimodal Biometrics

    We take multimodal as a new research paradigm. This research paradigm is based on the premise that all human interactions with the outside world required the support of multimodal sensory systems. Deep learnin...

    Qiuling Yang, **aoliang Chen, Zhaofeng He, Le Chang in Biometric Recognition (2022)

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    Chapter and Conference Paper

    Deep Reinforcement Learning Based Mimicry Defense System for IoT Message Transmission

    With the development of 5G and Internet of Everything, IoT has become an essential network infrastructure. The connection between massive devices brings huge convenience and effectiveness, also introducing mor...

    Zhihao Wang, Dingde Jiang, Jianguang Chen, Wei Yang in Simulation Tools and Techniques (2022)

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    Chapter and Conference Paper

    A Dynamic Migration Strategy of SDN Controllers in LEO Networks

    Multiple low earth orbit (LEO) satellites form a constellation that can construct the network to achieve full coverage of the ground. However, the topology of the LEO satellite network is highly dynamic, and e...

    Liuwei Huo, Dingde Jiang, Wei Yang, Jianguang Chen in Simulation Tools and Techniques (2022)

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    Chapter and Conference Paper

    Efficient and Secure Outsourced Image Watermarking in Cloud Computing

    Image watermark has played an important role in image copyright protection. With the development of cloud computing in recent years, more and more people are willing to outsource the watermark embedding proces...

    **ongjie Fang, Ruopan Lai, Zhipeng Zhou in Artificial Intelligence and Security (2022)

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    Chapter and Conference Paper

    An Underwater Image Color Correction Algorithm Based on Underwater Scene Prior and Residual Network

    Color distortion in underwater scenes affect the accuracy of pattern recognition, visual understanding and key feature extraction work of underwater robots. In this paper, we propose a method to correct color ...

    Mengxing Huang, **** Ye, Shenghan Zhu, Yang Chen in Artificial Intelligence and Security (2022)

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    Chapter and Conference Paper

    Visual Research and Predictive Analysis of Land Resource Use Type Change

    Land cover change is a hot topic in the interdisciplinary research of global change and land science. The existing spatial visualization methods based on remote sensing images have the advantages of wide detec...

    YuDan Zhao, Wu Zeng, YingGe Zhang in Advances in Artificial Intelligence and Se… (2022)

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    Chapter and Conference Paper

    Image Magnification Network for Vessel Segmentation in OCTA Images

    Optical coherence tomography angiography (OCTA) is a novel non-invasive imaging modality that allows micron-level resolution to visualize the retinal microvasculature. The retinal vessel segmentation in OCTA i...

    Mingchao Li, Weiwei Zhang, Qiang Chen in Pattern Recognition and Computer Vision (2022)

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    Chapter and Conference Paper

    Research on Road Traffic Moving Target Detection Method Based on Sequential Inter Frame Difference and Optical Flow Method

    In order to realize the effective detection of moving objects in intelligent transportation environment

    Da Li, Zhi-wei Guan, Qiang Chen, He-** Shi, Tao Wang in Artificial Intelligence in China (2022)

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    Chapter and Conference Paper

    State Machine Inference Method of Unknown Binary Protocol Based on Recurrent Neural Network

    The state machine of binary protocol can effectively reflect the behavior characteristics of the protocol, and its inference results are often not highly influenced by the protocol format information and logic...

    Yang Chen, Peng Li, Yujie Zhang, Weiqing Fang in Big Data and Security (2022)

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    Chapter and Conference Paper

    Unpaired and Self-supervised Optical Coherence Tomography Angiography Super-Resolution

    Optical coherence tomography angiography (OCTA) is usually used to observe the blood flow information of retina and choroid. It is meaningful for clinicians to observe more microvascular details by enhancing t...

    Chaofan Zeng, Songtao Yuan, Qiang Chen in Pattern Recognition and Computer Vision (2022)

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    Chapter and Conference Paper

    MultiGAN: Multi-domain Image Translation from OCT to OCTA

    Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) are important imaging techniques for assessing and managing retinal diseases. OCTA can display more blood vessel informati...

    Bing Pan, Zexuan Ji, Qiang Chen in Pattern Recognition and Computer Vision (2022)

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