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Online control for pressure regulation of oxygen mask based on neural network

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  1. Article

    Open Access

    Dynamic multi-label feature selection algorithm based on label importance and label correlation

    Multi-label distribution is a popular direction in current machine learning research and is relevant to many practical problems. In multi-label learning, samples are usually described by high-dimensional featu...

    Weiliang Chen, **ao Sun in International Journal of Machine Learning and Cybernetics (2024)

  2. Article

    Open Access

    Bi-DNE: bilayer evolutionary pattern preserved embedding for dynamic networks

    Network embedding is a technique used to generate low-dimensional vectors representing each node in a network while maintaining the original topology and properties of the network. This technology enables a wi...

    Xu Gu, **aoliang Chen, Min Yang, Yajun Du, Mingwei Tang in Complex & Intelligent Systems (2024)

  3. 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)

  4. Article

    Open Access

    Multi-constraint non-negative matrix factorization for community detection: orthogonal regular sparse constraint non-negative matrix factorization

    Community detection is an important method to analyze the characteristics and structure of community networks, which can excavate the potential links between nodes and further discover subgroups from complex n...

    Zigang Chen, Qi **ao, Tao Leng, Zhenjiang Zhang, Ding Pan in Complex & Intelligent Systems (2024)

  5. Article

    Open Access

    Speech Keyword Spotting Method Based on Swin-Transformer Model

    With the rapid advancements in deep learning technology, the Transformer-based attention neural network has shown promising performance in keyword spotting (KWS). However, this method suffers from high computa...

    Chengli Sun, Bikang Chen, Feilong Chen in International Journal of Computational Int… (2024)

  6. Article

    Open Access

    Transient Data Caching Based on Maximum Entropy Actor–Critic in Internet-of-Things Networks

    With the rapid development of the Internet-of-Things (IoT), a massive amount of transient data is transmitted in edge networks. Transient data are highly time-sensitive, such as monitoring data generated by in...

    Yu Zhang, Ningjiang Chen, Siyu Yu in International Journal of Computational Int… (2024)

  7. Article

    Open Access

    RFDANet: an FMCW and TOF radar fusion approach for driver activity recognition using multi-level attention based CNN and LSTM network

    Dangerous driving behavior is a major contributing factor to road traffic accidents. Identifying and intervening in drivers’ unsafe driving behaviors is thus crucial for preventing accidents and ensuring road ...

    Minming Gu, Kaiyu Chen, Zhixiang Chen in Complex & Intelligent Systems (2024)

  8. Article

    Open Access

    Imperceptible graph injection attack on graph neural networks

    In recent years, Graph Neural Networks (GNNs) have achieved excellent applications in classification or prediction tasks. Recent studies have demonstrated that GNNs are vulnerable to adversarial attacks. Graph...

    Yang Chen, Zhonglin Ye, Zhaoyang Wang, Haixing Zhao in Complex & Intelligent Systems (2024)

  9. Article

    Open Access

    Dynamic scheduling method for data relay satellite networks considering hybrid system disturbances

    System disturbances, such as the change of required service durations, the failure of resources, and temporary tasks during the scheduling process of data relay satellite network (DRSN), are difficult to be pr...

    Zongling Li, **njiang Chen, Qizhang Luo, Guohua Wu in Complex & Intelligent Systems (2024)

  10. Article

    Open Access

    Progress in physical modeling of compressible wall-bounded turbulent flows

    Understanding, modeling and control of the high-speed wall-bounded transition and turbulence not only receive wide academic interests but also are vitally important for high-speed vehicle design and energy sav...

    Cheng Cheng 程诚, **anliang Chen 陈贤亮, Wenkai Zhu 朱文凯, Wei Shyy 史维 in Acta Mechanica Sinica (2024)

  11. Article

    Open Access

    Reinforcement-learning-based parameter adaptation method for particle swarm optimization

    Particle swarm optimization (PSO) is a well-known optimization algorithm that shows good performances in solving different optimization problems. However, the PSO usually suffers from slow convergence. In this...

    Shiyuan Yin, Min **, Huaxiang Lu, Guoliang Gong in Complex & Intelligent Systems (2023)

  12. Article

    Open Access

    A real-time semantic visual SLAM for dynamic environment based on deep learning and dynamic probabilistic propagation

    Most existing visual simultaneous localization and map** (SLAM) algorithms rely heavily on the static world assumption. Combined with deep learning, semantic SLAM has become a popular solution for dynamic sc...

    Liang Chen, Zhi Ling, Yu Gao, Rongchuan Sun, Sheng ** in Complex & Intelligent Systems (2023)

  13. Article

    Open Access

    Investigation of the Causal Relationship Between Alcohol Consumption and COVID-19: A Two-Sample Mendelian Randomization Study

    Association between alcohol intake and Coronavirus disease 2019 (COVID-19) risk has been explored in several observational studies, but the results are still controversial. These associations may be biased by ...

    Zhihan **ao, Yawei Qian, Yi Liu in International Journal of Computational Int… (2023)

  14. Article

    Open Access

    Study on non-iterative algorithms for center-of-sets type-reduction of Takagi–Sugeno–Kang type general type-2 fuzzy logic systems

    The paper performs the center-of-sets (COS) type-reduction (TR) and de-fuzzification for Takagi–Sugeno–Kang (TSK) type general type-2 fuzzy logic systems (GT2 FLSs) on the basis of the

    Yang Chen in Complex & Intelligent Systems (2023)

  15. Article

    Open Access

    Imperceptible black-box waveform-level adversarial attack towards automatic speaker recognition

    Automatic speaker recognition is an important biometric authentication approach with emerging applications. However, recent research has shown its vulnerability on adversarial attacks. In this paper, we propos...

    **ngyu Zhang, **ongwei Zhang, Meng Sun, **a Zou in Complex & Intelligent Systems (2023)

  16. Article

    RETRACTED ARTICLE: Optimization effect of ecological restoration based on high-resolution remote sensing images in the ecological construction of soil and water conservation

    Tingyu Fan, Shun Wang, **ngming Wang in Journal of Ambient Intelligence and Humani… (2022)

  17. Article

    Open Access

    Modeling stochastic service time for complex on-demand food delivery

    Uncertainty is everywhere in the food delivery process, which significantly influences decision-making for complex on-demand food delivery problems, affecting delivery efficiency and customer satisfaction. Esp...

    Jie Zheng, Ling Wang, Shengyao Wang, **g-fang Chen in Complex & Intelligent Systems (2022)

  18. Article

    FewJoint: few-shot learning for joint dialogue understanding

    Few-shot learning (FSL) is one of the key future steps in machine learning and raises a lot of attention. In this paper, we focus on the FSL problem of dialogue understanding, which contains two closely relate...

    Yutai Hou, **nghao Wang, Cheng Chen in International Journal of Machine Learning … (2022)

  19. Article

    Open Access

    Design of sampling-based noniterative algorithms for centroid type-reduction of general type-2 fuzzy logic systems

    General type-2 (GT2) fuzzy logic systems (FLSs) become a popular research topic for the past few years. Usually the Karnik–Mendel algorithms are the most prevalent approach to complete the type-reduction. None...

    Yang Chen in Complex & Intelligent Systems (2022)

  20. Article

    Detection and quantification of anomalies in communication networks based on LSTM-ARIMA combined model

    The anomaly detection for communication networks is significant for improve the quality of communication services and network reliability. However, traditional communication monitoring methods lack proactive m...

    Sheng Xue, Hualiang Chen, **aoliang Zheng in International Journal of Machine Learning … (2022)

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