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  1. No Access

    Chapter and Conference Paper

    Identifying Alzheimer’s Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks

    Identifying topology alterations in white matter connectivity has emerged as a promising avenue for exploring potential markers of Alzheimer’s disease (AD). However, conventional graph learning methods struggl...

    Feihong Liu, Yongsheng Pan, Junwei Yang, Fang **e in Machine Learning in Medical Imaging (2024)

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    Chapter and Conference Paper

    Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance

    The infant brain develops dramatically during the first two years of life. Accurate segmentation of brain tissues is essential to understand the early development of both normal and disease changes. However, t...

    Yuhang Sun, Jiameng Liu, Feihong Liu, Kaicong Sun in Machine Learning in Medical Imaging (2024)

  3. No Access

    Chapter and Conference Paper

    AMCNet: Adaptive Matching Constraint for Unsupervised Point Cloud Registration

    The registration of 3D point cloud with numerous applications in robotics, medical imaging and other industries. However, due to the lack of accurate data annotation, the performance of unsupervised point clou...

    Feng Yu, Zhuohan **ao, Zhaoxiang Chen, Li Liu in Advances in Computer Graphics (2024)

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    Chapter and Conference Paper

    Cooperative Beam Hop** for LEO Constellation Network

    LEO constellation network has become a promising approach for global communications, due to its global coverage, lower latency, and flexible construction. However, because of the limited coverage of a single s...

    Chaoyu Ren, Feng Tian, Wenqian Wang, Huijie Liu in Space Information Networks (2024)

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    Chapter and Conference Paper

    A Multi-carrier Information Hiding Algorithm Based on Dual 3D Model Spectrum Analysis

    In order to avoid multiple degradation of 3D models in Cartesian coordinate system, this paper converts cartesian coordinate system to spherical coordinates, and proposes a multi carrier information hiding alg...

    Shuai Ren, Liming Ma, Qiuyu Feng in Digital Forensics and Cyber Crime (2024)

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    Chapter and Conference Paper

    A Sampling Method for Performance Predictor Based on Contrastive Learning

    Performance predictors are commonly dedicated to mitigating the substantial resource consumption of neural architecture search. Nevertheless, existing performance predictors are typically constructed based on ...

    **grong **e, Yuqi Feng, Yanan Sun in AI 2023: Advances in Artificial Intelligence (2024)

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    Chapter and Conference Paper

    Boosting Out-of-Distribution Detection with Sample Weighting

    To enhance the reliability of machine learning models in the open world, there is considerable interest in detecting out-of-distribution (OOD) inputs that lie far away from the training distribution. Existing ...

    Ao Ke, Wenlong Chen, Chuanwen Feng, **ke **e in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model

    Spatiotemporal prediction is a research topic in urban planning and management. Most existing spatiotemporal prediction models currently face challenges. More specifically, most prediction models are sensitive...

    Peixiao Wang, Hengcai Zhang, Feng Lu in Spatial Data and Intelligence (2024)

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    Chapter and Conference Paper

    Towards Unified Modality Understanding for Alzheimer’s Disease Diagnosis Using Incomplete Multi-modality Data

    Multi-modal neuroimaging data, e.g., magnetic resonance imaging (MRI) and positron emission tomography (PET), has greatly advanced computer-aided diagnosis of Alzheimer’s disease (AD) and its prodromal stage, ...

    Kangfu Han, Fenqiang Zhao, Dajiang Zhu, Tianming Liu in Machine Learning in Medical Imaging (2024)

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    Chapter and Conference Paper

    Research on the Application of Internet+In Environmental Design Teaching

    While Internet technology has changed people's lives, it has also had a profound impact on the evaluation of environmental design teaching. The evaluation tools used for traditional environmental design teachi...

    Dong Lina, Luo Kunming, Feng Weizhou in Application of Big Data, Blockchain, and I… (2024)

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    Chapter and Conference Paper

    O&M Portrait Tag Generation and Management of Grid Business Application System Under Microservice Architecture

    With the development of microservices architecture, O&M in grid business systems is shifting from the traditional device-oriented approach to demand-oriented user experience and operational data analysis. How ...

    Dequan Gao, Bing Zhang, Meng Yang, Bao Feng in Data Science and Information Security (2024)

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    Chapter and Conference Paper

    MLDF-Net: Metadata Based Multi-level Dynamic Fusion Network

    Computer-aided diagnosis has been widely used in the medical field, and one of the current research hotspots for aiding diagnosis is how to effectively fuse heterogeneous data such as image data and metadata. ...

    Feng Li, Enguang Zuo, Chen Chen, Cheng Chen in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    Exploration and Application Based on Authentication, Authorization, Accounting in Home Broadband Scenario

    With the rapid development of broadband market services, Internet Service Providers (ISPs) strive to improve the end-to-end network quality of home broadband. However, faced with the opaque and unknown indoor ...

    Feng Tian, Haoshi Zhang, Pan Wang, **nkuan Wang in Green, Pervasive, and Cloud Computing (2024)

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    Chapter and Conference Paper

    A Tongue Image Classification Method in TCM Based on Multi Feature Fusion

    Traditional Chinese medicine distinguishes tongue features such as tongue color, fur color, tongue shape and crack mainly through the visual observation and empirical analysis of traditional Chinese medicine d...

    Zhifeng Guo, Saisai Feng, Lin Wang, Mingchuan Zhang in Cognitive Computation and Systems (2024)

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    Chapter and Conference Paper

    Visual Analysis of Machine Tool Operation Mode Correlation Based on Parameter Category Coding

    Aiming at the problem that the machine tool operation data has many dimensions, the parameters relationship is complex, and its abnormal patterns and hidden correlation information are difficult to fully excav...

    **xin Long, Lijuan Peng, Xuejun Li, Kaiming Ma, Feng Qiu in Advances in Computer Graphics (2024)

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    Chapter and Conference Paper

    Design of Query Based Gallery Selector and Mask-Aware Loss for Person Search

    Person search is a challenging computer vision task that aims to simultaneously locate and identify a query person from panoramic images. To address the issue of scene similarity and its impact on search accur...

    Qiang Hua, Ao Sun, Yu-Chen Liu, Feng Zhang in Parallel and Distributed Computing, Applic… (2024)

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    Chapter and Conference Paper

    DUFormer: Solving Power Line Detection Task in Aerial Images Using Semantic Segmentation

    Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images. However, detecting power lines in aerial images is difficult, as the foreground data ...

    Deyu An, Qiang Zhang, Jianshu Chao, Ting Li in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    Regularized DNN Based Adaptive Compensation Algorithm for Gateway Power Meter in Ultra-High Voltage Substations

    The development of the power Internet of Things (IoT) has made the data of ultra-high voltage substation metering critical information sources for supporting power energy scheduling and market transactions. Ho...

    Yonggui Wang, **ao Feng, Wen**g Li in Artificial Intelligence and Machine Learni… (2024)

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    Chapter and Conference Paper

    Develo** a Web-Based Platform for Forming Language Capability Assessment for AAC Users

    Although language capability has been regarded as one of the key factors of communication competencies for AAC users, no proper language capabilities assessment that considers AAC users’ limitations of motor c...

    Ming-Chung Chen, Long-Sheng Li, Meng-Feng Lu in Computers Hel** People with Special Needs (2024)

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    Chapter and Conference Paper

    Partition Sampling Strategy for Robot Motion Planning in Narrow Passage Under Uncertainty

    To address the perception and motion uncertainty issues for motion planning in narrow passage environments, a Partitioned Sampling Strategy based on Partially Observable Markov Decision Processes (POMDP) is pu...

    Binpeng Wang, Zeqiang Li, Lin Sun, Chao Feng in Multimedia Technology and Enhanced Learning (2024)

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