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    Chapter and Conference Paper

    A New Benchmark and OCR-Free Method for Document Image Topic Classification

    Document image understanding is challenging, given the complexity of the combination of illustrations and text that make up a document image. Previous document image classification datasets and models focus mo...

    Zhen Wang, Peide Zhu, Fuyang Yu, Manabu Okumura in MultiMedia Modeling (2024)

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    Chapter and Conference Paper

    A New PM2.5 Concentration Predication Study Based on CNN-LSTM Parallel Integration

    Prevention and control of haze is the hot topic in the study of air quality, and PM2.5 concentration prediction is one of the keys in the haze prevention and control. This paper proposes a new method of integr...

    Chaoxue Wang, Zhenbang Wang, Fan Zhang in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    A Feature Extraction Algorithm for Enhancing Graphical Local Adaptive Threshold

    In order to solve the problem that the ORB algorithm increases the probability of feature point loss and mis-matching in some cases such as insufficient light intensity, low texture, large camera rotation, etc...

    Shaoshao Wang, Aihua Zhang, Han Wang in Intelligent Computing Theories and Application (2022)

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    Chapter and Conference Paper

    Handwritten Chemical Equations Recognition Based on Lightweight Networks

    Handwritten chemical equations recognition is one of the important research directions of optical character recognition (OCR) and text recognition technology, which is widely used in life. Although the mainstr...

    **ao-Feng Wang, Zhi-Huang He, Zhi-Ze Wu in Intelligent Computing Theories and Applica… (2022)

  5. Chapter and Conference Paper

    Retraction Note to: Person Re-identification Based on Transform Algorithm

    Lei **e, Chao Wang, **aoyong Yu, Aihua Zheng in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    A Classification Algorithm Based on Discriminative Transfer Feature Learning for Early Diagnosis of Alzheimer’s Disease

    This paper proposes a discriminative transfer feature learning method for MCI conversion prediction using data from the target domain and the auxiliary domain. A transfer component analysis method based on the...

    **nchun Cui, Yonglin Liu, Jianzong Du in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    Stability Analysis of Hopfield Neural Networks with Conformable Fractional Derivative: M-matrix Method

    In this work, the stability analysis of a class of conformable fractional-order Hopfield neural networks is investigated. By using the Lyapunov function and M-matrix method, certain novel results on the existe...

    Chang-bo Yang, Sun-yan Hong, Ya-qin Li in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    Research on the Current Situation and Improvement Countermeasures of Farmers' Information Security Literacy Based on New Media

    Research on the current situation and Improvement Countermeasures of farmers' information security literacy under the background of new media information security has become the cornerstone of national overall...

    Haiyu Wang in Intelligent Computing Theories and Application (2022)

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    Chapter and Conference Paper

    Development and Application of Augmented Reality System for Part Assembly Based on Assembly Semantics

    Currently, most assembly guidance augmented reality systems focus on assembly geometry relationship using traditional interaction methods, leading to poor interactivity. To improve the situation, firstly, an a...

    Yingxin Wang, Jianfeng Lu, Zeyuan Lin in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation

    The Coronavirus Disease 2019 (COVID-19) is the pandemic that has had the greatest impact on world economic development in recent years

    Jiaxing Lv, Fazhan Zhu, Kun Lu, Wenyan Wang in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    An Image Binarization Segmentation Method Combining Global and Local Threshold for Uneven Illumination Image

    For images with uneven illumination, the segmentation method based on global threshold will be affected by illumination, and the effect to low contrast and uneven illumination images is poor. In the segmentati...

    **-Wu Wang, Daiwei **e, Zhenmin Dai in Intelligent Computing Theories and Application (2022)

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    Chapter and Conference Paper

    Correntrogram: A Robust Method for Optimal Frequency Band Selection to Bearing Fault Detection

    Correntropy includes not only the second-order statistics of the signal, but also the higher-order statistics of the signal. Therefore, correntropy is an effective tool to deal with nonlinear and non-Gaussian ...

    Hui Li, Ruijuan Wang, Yonghui **e in Intelligent Computing Theories and Application (2022)

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    Chapter and Conference Paper

    A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction

    Non-invasive blood pressure prediction is an important method to prevent diseases such as hypertension. This paper proposes a sub-network aggregation with large convolution kernel convolution to predict non-in...

    **nghui Zhang, Chunhou Zheng, Peng Chen in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    RETRACTED CHAPTER: Person Re-identification Based on Transform Algorithm

    Person Re-identification (Person ReID) is a new technology emerging in the field of intelligent video analysis in recent years, aiming to solve the problem of person re-identification and retrieval under cross...

    Lei **e, Chao Wang, **aoyong Yu, Aihua Zheng in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    Two-Channel VAE-GAN Based Image-To-Video Translation

    We propose a VAE-GAN network with a two-channel decoder for addressing multiple image-to-video translation tasks, i.e., generating multiple videos of different categories by a single model. We consider this im...

    Shengli Wang, Mulin **eshi, Zhangpeng Zhou in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    Image-to-Video Translation Using a VAE-GAN with Refinement Network

    With the development of deep learning technology, various techniques for image processing have emerged in the field of computer vision in recent years, and have excellent performance in a variety of applicatio...

    Shengli Wang, Mulin **eshi, Zhangpeng Zhou in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    Joint Semantic Segmentation and Object Detection Based on Relational Mask R-CNN

    As fundamental and important problems in computer vision field, semantic segmentation and object detection have made a series of breakthroughs in recent years. Although the existing semantic segmentation and o...

    Yanni Zhang, Hui Xu, **gxuan Fan, Miao Qi in Intelligent Computing Theories and Applica… (2022)

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    Chapter and Conference Paper

    A High Performance Intrusion Detection System Using LightGBM Based on Oversampling and Undersampling

    Intrusion detection system plays an important role in network security, however, the problem with data imbalance limits the detection ability of intrusion detection system. In order to improve the performance ...

    Hao Zhang, Lina Ge, Zhe Wang in Intelligent Computing Theories and Application (2022)

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    Chapter and Conference Paper

    A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features

    Medical images can be accurately segmented to provide reliable basis for clinical diagnosis and pathology research, and assist doctors to make more accurate diagnosis, as well as deep learning technology can a...

    Fazhan Zhu, Jiaxing Lv, Kun Lu, Wenyan Wang in Intelligent Computing Theories and Applica… (2022)

  20. No Access

    Article

    Research on Fractional Critical Covered Graphs

    A graph G is called a fractional (gf)-covered graph if for any e ∈ E(G), G admits a fractional (gf)-factor covering e. A graph G is called a fractional (gfn)-critical covered graph if for any S ⊆ V(G) wit...

    S. Wang, W. Zhang in Problems of Information Transmission (2020)

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