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Dual flow fusion graph convolutional network for traffic flow prediction

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  1. Article

    Open Access

    Attention-based RNN with question-aware loss and multi-level copying mechanism for natural answer generation

    Natural answer generation is in a very clear practical significance and strong application background, which can be widely used in the field of knowledge services such as community question answering and intel...

    Fen Zhao, Huishuang Shao, Shuo Li, Yintong Wang, Yan Yu in Complex & Intelligent Systems (2024)

  2. Article

    Open Access

    Multi-view subspace clustering based on multi-order neighbor diffusion

    Multi-view subspace clustering (MVC) intends to separate out samples via integrating the complementary information from diverse views. In MVC, since the structural information in the graph is crucial to the gr...

    Yin Long, Hongbin Xu, Yang **ang, **yu Du, Yanying Yang in Complex & Intelligent Systems (2024)

  3. Article

    Open Access

    Enhancing the Performance and Accuracy in Real-Time Football and Player Detection Using Upgraded YOLOv5 Architecture

    The study presents a significantly improved version of the YOLOv5 real-time object detection model for football player recognition. The proposed technique includes feature-tuning and hyper-parameter optimizati...

    Keyan Zhao in International Journal of Computational Intelligence Systems (2024)

  4. Article

    Open Access

    Twin-tower transformer network for skeleton-based Parkinson’s disease early detection

    Parkinson’s disease is a chronic neurodegenerative condition accompanied by a variety of motor and non-motor clinical symptoms. Diagnosing Parkinson’s disease presents many challenges, such as excessive relian...

    Lan Ma, Hua Huo, Wei Liu, Changwei Zhao, **xuan Wang in Complex & Intelligent Systems (2024)

  5. Article

    Open Access

    Development of a semi-empirical bond strength model for multi-pass hot roll bonding based on the characterizations using the truncated-cone experiment

    With special reference to the modelling of hot roll bonding, new experimental procedures to measure the resulting bond strength for a combination of AA6016 and AA8079 aluminum alloys at elevated temperatures a...

    Alexander Krämer, Zhao Liu, Marco Teller in International Journal of Material Forming (2024)

  6. Article

    Open Access

    An edge-assisted group authentication scheme for the narrowband internet of things

    As an emerging wireless communication technology, narrowband Internet of Things is widely used in various scenarios, but it also brings new security problems, especially the group authentication between termin...

    Guosheng Zhao, Huan Chen, Jian Wang in Complex & Intelligent Systems (2024)

  7. Article

    Open Access

    Application of Artificial Intelligence Technology in Vulnerability Analysis of Intelligent Ship Network

    The improvement in transportation efficiency, security, safety, and environmental effects may be possible due to the impending advent of autonomous ships. Automatic situational awareness, risk detection, and i...

    Dan Lan, Peilong Xu, Jia Nong, Junkang Song in International Journal of Computational Int… (2024)

  8. Article

    Open Access

    Fuzzy Neural Network Model for Intelligent Course Development in Music and Dance Education

    Interactions are mandatory for online or offline music and dance education to improve understandability and learning efficacy. The course designed for such artistic education incorporates multi-point interacti...

    Lin Zhao, Ying Sun in International Journal of Computational Intelligence Systems (2024)

  9. Article

    Open Access

    Time-aware MADDPG with LSTM for multi-agent obstacle avoidance: a comparative study

    Intelligent agents and multi-agent systems are increasingly used in complex scenarios, such as controlling groups of drones and non-player characters in video games. In these applications, multi-agent navigati...

    Enyu Zhao, Ning Zhou, Chanjuan Liu, Houfu Su, Yang Liu in Complex & Intelligent Systems (2024)

  10. Article

    Open Access

    DRL-based dependent task offloading with delay-energy tradeoff in medical image edge computing

    Task offloading solves the problem that the computing resources of terminal devices in hospitals are limited by offloading massive radiomics-based medical image diagnosis model (RIDM) tasks to edge servers (ES...

    Qi Liu, Zhao Tian, Ning Wang, Yusong Lin in Complex & Intelligent Systems (2024)

  11. Article

    Open Access

    A lightweight and personalized edge federated learning model

    As a new distributed machine learning paradigm, federated learning has gained increasing attention in the industry and research community. However, federated learning is challenging to implement on edge device...

    Peiyan Yuan, Ling Shi, **aoyan Zhao, Junna Zhang in Complex & Intelligent Systems (2024)

  12. Article

    Open Access

    ICDM-GEHC: identifying cancer driver module based on graph embedding and hierarchical clustering

    Due to the high heterogeneity of cancers, it is rather essential to explore driver modules with the help of gene mutation data as well as known interactions between genes/proteins. Unfortunately, latent false ...

    Shiyu Deng, **gli Wu, Gaoshi Li, Jiafei Liu, Yumeng Zhao in Complex & Intelligent Systems (2024)

  13. Article

    Open Access

    Flexible job-shop scheduling problem with parallel batch machines based on an enhanced multi-population genetic algorithm

    The flexible job-shop scheduling problem (FJSP) with parallel batch processing machine (PBM) is one of those long-standing issues that needs cutting-edge approaches. It is a recent extension of standard flexib...

    Lirui Xue, Shinan Zhao, Amin Mahmoudi in Complex & Intelligent Systems (2024)

  14. Article

    Open Access

    Team formation through an assessor: choosing MARL agents in pursuit–evasion games

    Team formation in multi-agent systems usually assumes the capabilities of each team member are known, and the best formation can be derived from that information. As AI agents become more sophisticated, this c...

    Yue Zhao, Lushan Ju, Josè Hernández-Orallo in Complex & Intelligent Systems (2024)

  15. Article

    Open Access

    An improved fruit fly optimization algorithm with Q-learning for solving distributed permutation flow shop scheduling problems

    The distributed permutation flow shop scheduling problem (DPFSP) is one of the hottest issues in the context of economic globalization. In this paper, a Q-learning enhanced fruit fly optimization algorithm (QF...

    Cai Zhao, Lianghong Wu, Cili Zuo, Hongqiang Zhang in Complex & Intelligent Systems (2024)

  16. Article

    Open Access

    Situational diversity in video person re-identification: introducing MSA-BUPT dataset

    Thanks to the success of deep learning over the past few years, the video person re-identification (ReID) algorithms have achieved high accuracy on multiple public benchmark datasets. However, the available vi...

    Ruining Zhao, Jiaxuan Liu, Zhicheng Zhao, Ziqi He, Fei Su in Complex & Intelligent Systems (2024)

  17. Article

    Open Access

    Coordinated Control of the Onboard and Wayside Energy Storage System of an Urban Rail Train Based on Rule Mining

    There are three major challenges to the broad implementation of energy storage systems (ESSs) in urban rail transit: maximizing the absorption of regenerative braking power, enabling online global optimal cont...

    Zhihong Zhong, Jiayu Mi, Yajie Zhao, Zhong** Yang, Fei Lin in Urban Rail Transit (2024)

  18. Article

    Open Access

    Adaptive local neighborhood information based efficient fuzzy clustering approach

    The purpose of clustering is to partition data similar with each other into a same group and partition data dissimilar with each other into different groups. However, in most existing fuzzy clustering approach...

    Ziheng Wu, Yuan Zhao, Cong Li, Fang Zhou in Complex & Intelligent Systems (2024)

  19. Article

    Open Access

    DATFNets-dynamic adaptive assigned transformer network for fire detection

    Fires cause severe damage to the ecological environment and threaten human life and property. Although the traditional convolutional neural network method effectively detects large-area fires, it cannot captur...

    Zuoxin Wang, **aohu Zhao, Dunqing Li in Complex & Intelligent Systems (2024)

  20. Article

    Open Access

    A Region-Selective Anti-compression Image Encryption Algorithm Based on Deep Networks

    In recent years, related research has focused on how to safely transfer and protect the privacy of images in social network services while providing easy access by authorized users. To safeguard privacy, we su...

    Zhenqiang Chen, Yifeng Liu, Gang Ke in International Journal of Computational Int… (2024)

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