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  1. No Access

    Chapter and Conference Paper

    Empowering Work-Life Harmony: Introducing a Porsche-Inspired Voice Digital Assistants Tailored for Women

    With the rapid increase in the personalized demands for in-car voice assistants in the Generation Z era, innovation in digital assistants (DA) becomes crucial to better meet the growing needs of human-vehicle ...

    Fenghua Tang, Yifang Li, Ke Xu, Tingting Guo in Design, User Experience, and Usability (2024)

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    Chapter and Conference Paper

    Feature Implicit Enhancement via Super-Resolution for Small Object Detection

    In recent years, object detection has made significant strides due to advancements in deep convolutional neural networks. However, the detection performance for small objects remains challenging. The visual in...

    Zhehao Xu, Mengyin Liu, Chao Zhu, Fang Zhou in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    Visualization of Tumor Treatment Methods Based on Clustering Algorithms

    The purpose of the article is to analyze the research hotspots and trends in tumor treatments using clustering algorithms such as LSI, LLR, Mutual Information and Kleinberg’s algorithm. The related articles of...

    Yiguo Cai, Fang **a, Ziying Xu, Menglu Xu in Artificial Intelligence and Machine Learni… (2024)

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    Chapter and Conference Paper

    Stepwise Change and Refine Network for Human Pose Transfer

    Achieving person image synthesis through pose guidance is an arduous and profound endeavor. Addressing the limitations of previous approaches, namely inaccurate pose generation and inconsistencies with the tar...

    Han Mo, Yang Xu, Youju Peng, Guidong Xu in 6GN for Future Wireless Networks (2024)

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    Chapter and Conference Paper

    Salient Feature Enhanced Multi-object Tracking with Soft-Sparse Attention in Transformer

    Most existing transformer-based Multi-object tracking (MOT) methods use Convolutional Neural Network (CNN) to extract features and then use a transformer to detect and track objects. However, feature extract n...

    Caihua Liu, Xu Qu, **aoyi Ma, Runze Li, Xu Li in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    Cross Domain Pulmonary Nodule Detection Without Source Data

    The model performance on cross-domain pulmonary nodule detection usually degrades because of the significant shift in data distributions and the scarcity of annotated medical data in the test scenarios. Curren...

    Rui Xu, Yong Luo, Yan Xu in AI 2023: Advances in Artificial Intelligence (2024)

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    Chapter and Conference Paper

    Research on Cost Optimization of UAV Network Routing Protocol Based on OLSR Protocol

    The HELLO message stands as the foundational and pivotal message structure within the OLSR protocol. It encompasses vital information, including neighbor types, primary addresses, and link state details concer...

    Zhenyu Xu, **nlu Li, Dawu Xu in 6GN for Future Wireless Networks (2024)

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    Chapter and Conference Paper

    Exploring Cross-Modal Inconsistency in Entities and Emotions for Multimodal Fake News Detection

    The automatic detection of multimodal fake news has attracted significant attention recently. Numerous existing methods focus on the fusion of unimodal features to generate multimodal news representations. How...

    Longzheng Wang, Chuang Zhang, Hongbo Xu in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    A Novel Framework for Adaptive Quadruped Robot Locomotion Learning in Uncertain Environments

    Learning diverse and flexible locomotion strategies in uncertain environments has been a longstanding challenge for quadruped robots. Although recent progress in domain randomization has partially tackled this...

    Mengyuan Li, Bin Guo, Kaixing Zhao, Ruonan Xu in Green, Pervasive, and Cloud Computing (2024)

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    Chapter and Conference Paper

    Collaborative Task Processing and Resource Allocation Based on Multiple MEC Servers

    Mobile Edge Computing (MEC), an emerging computing paradigm, shifts computing and storage capabilities from the cloud to the network edge, aiming to meet the delay requirements of emerging applications and sav...

    Lei Shi, Shilong Feng, Rui Ji, Juan Xu in Collaborative Computing: Networking, Appli… (2024)

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    Chapter and Conference Paper

    Differential-Linear Cryptanalysis of Round-Reduced SPARX-64/128

    SPARX is a family of ARX-based block ciphers introduced at ASIACRYPT 2016, which is designed according to the long-trail strategy (LTS). For SPARX-64/128 with block size 64 and key size 128, the best known att...

    Zhichao Xu, Hong Xu, Lin Tan, Wenfeng Qi in Information Security and Cryptology (2024)

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    Chapter and Conference Paper

    Graph-based Dynamic Preference Modeling for Personalized Recommendation

    Sequential Recommendation (SR) can predict possible future behaviors by considering the user’s behavioral sequence. However, users’ preferences constantly change in practice and are difficult to track. The exi...

    Jiaqi Wu, Yidan Xu, Bowen Zhang, Zekun Xu in Advances in Knowledge Discovery and Data M… (2024)

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    Chapter and Conference Paper

    Design of Substation Battery Remote Monitoring System Based on LoRa Technology

    The function module of the current substation battery remote monitoring system is generally one-way, and the monitoring range is limited, leading to the extension of the monitoring response time. Therefore, th...

    Chen Zhao, Dong Yang, **ao Xu, Gongying Zhang in Advanced Hybrid Information Processing (2024)

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    Chapter and Conference Paper

    MusicGAIL: A Generative Adversarial Imitation Learning Approach for Music Generation

    Deep learning based automatic music generation has received significantly attention and became an attractive research topic in recent years. However, most existing methods face three major challenges: (1) Mode...

    Yusong Liao, Hongguang Xu, Ke Xu in Artificial Intelligence (2024)

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    Chapter and Conference Paper

    Data and Privacy Crisis on Internet Application of Artificial Intelligence

    The widely use of intelligent applications makes us live with data and algorithms every day. While improving the quality of our lives, its potential misuse of personal information poses a threat to our privacy...

    Sen Xu, Fei Yan, Yu Fu, **can **n, Hua Xu in Computer Networks and IoT (2024)

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    Chapter and Conference Paper

    DBSCAN Clustering and Kleinberg Algorithm-Based Research on Autism Hotspots and Frontier Trends in China

    Objective The research used DBSCAN and Kleinberg algorithm to described the research hotspots of autism in China and explore the frontier trend of autism research. Methods Studies on ASD published from 2001 to 20...

    Zixu Hao, Siyu Sun, Rongwei Leng, Xu Xu in Computer Networks and IoT (2024)

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    Chapter and Conference Paper

    An Investigation of the Perceptual Engineering Theory Based on the Portable Leisure Beverage Experience Space

    With the fast-paced development of human society, people rarely have personal slow-paced leisure time. Because of this, people’s perceptual needs are constantly amplified, and a leisure experience space that c...

    Hongju Yu, Rui Xu, Changfeng Jiang, Danmeng Xu in HCI International 2024 Posters (2024)

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    Chapter and Conference Paper

    Research on Distributed Control Technology of Ship Pod Propeller Turning Small Angle

    At present, most of the control systems of the full swing ship adopt the classical PI control or open loop transfer method, which has low control accuracy and slow response speed. In this paper, the idea of in...

    Ningjun Xu, Zhangsong Shi, Xu Lyu in Bio-Inspired Computing: Theories and Applications (2024)

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    Chapter and Conference Paper

    MS UX-Net: A Multi-scale Depth-Wise Convolution Network for Medical Image Segmentation

    Semantic segmentation of 3D medical images plays an important role in assisting physicians in diagnosing and successively studying the progression of the disease. In recent years, transformer-based models have...

    Mingkun Zhang, Zhijun Xu, Qiuxia Yang in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    A Survey of Homogeneous and Heterogeneous Multi-source Information Fusion Based on Rough Set Theory

    Multi-source information fusion (MSIF) can be defined as the process of automatically analyzing and synthesizing information and data from multiple sensors or sources based on certain standards so as to achiev...

    Haojun Liu, **angyan Tang, Taixing Xu in Artificial Intelligence and Machine Learning (2024)

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